�ݺ�ߣshows by User: Datameer

�ݺ�ߣshows by User: Datameer / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Datameer / Fri, 24 Jun 2016 22:49:08 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Datameer Datameer6 for prospects - june 2016_v2 /slideshow/datameer6-for-prospects-june-2016v2/63428940 datameer6forprospects-june2016v2-160624224908
Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business. During this one-hour webinar, we demonstrated all that's new with Datameer 6 and how you can: Discover answers to a new range of business questions using an iterative, exploratory approach Find answers faster and deliver more insights with a new faster analytic workflow Utilize Spark to speed analytic processing time without needing to know technical details Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.]]>
Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business. During this one-hour webinar, we demonstrated all that's new with Datameer 6 and how you can: Discover answers to a new range of business questions using an iterative, exploratory approach Find answers faster and deliver more insights with a new faster analytic workflow Utilize Spark to speed analytic processing time without needing to know technical details Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.]]> Fri, 24 Jun 2016 22:49:08 GMT /slideshow/datameer6-for-prospects-june-2016v2/63428940 Datameer@slideshare.net(Datameer) Datameer6 for prospects - june 2016_v2 Datameer Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business. During this one-hour webinar, we demonstrated all that's new with Datameer 6 and how you can: Discover answers to a new range of business questions using an iterative, exploratory approach Find answers faster and deliver more insights with a new faster analytic workflow Utilize Spark to speed analytic processing time without needing to know technical details Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datameer6forprospects-june2016v2-160624224908-thumbnail.jpg?width=120&height=120&fit=bounds" /> Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business. During this one-hour webinar, we demonstrated all that's new with Datameer 6 and how you can: Discover answers to a new range of business questions using an iterative, exploratory approach Find answers faster and deliver more insights with a new faster analytic workflow Utilize Spark to speed analytic processing time without needing to know technical details Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.

Datameer6 for prospects - june 2016_v2 from Datameer

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1 Extending BI with Big Data Analytics /slideshow/extending-bi-with-big-data-analytics/42583377 extendinganalyticsbeyondbiv5-141210163942-conversion-gate02
This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases. Attendees will hear about: -- The extended architecture for today's modern analytics environment -- The Internet of Things (IoT) and big data -- The evolution of analytics – from descriptive to prescriptive -- High impact use cases as a result of the changing analytics world]]>
This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases. Attendees will hear about: -- The extended architecture for today's modern analytics environment -- The Internet of Things (IoT) and big data -- The evolution of analytics – from descriptive to prescriptive -- High impact use cases as a result of the changing analytics world]]> Wed, 10 Dec 2014 16:39:42 GMT /slideshow/extending-bi-with-big-data-analytics/42583377 Datameer@slideshare.net(Datameer) Extending BI with Big Data Analytics Datameer This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases. Attendees will hear about: -- The extended architecture for today's modern analytics environment -- The Internet of Things (IoT) and big data -- The evolution of analytics – from descriptive to prescriptive -- High impact use cases as a result of the changing analytics world <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/extendinganalyticsbeyondbiv5-141210163942-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases. Attendees will hear about: -- The extended architecture for today's modern analytics environment -- The Internet of Things (IoT) and big data -- The evolution of analytics – from descriptive to prescriptive -- High impact use cases as a result of the changing analytics world

Extending BI with Big Data Analytics from Datameer

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1 Getting Started with Big Data for Business Managers /slideshow/getting-started-with-big-data-for-business-managers-42583327/42583327 final-datameer-ovum-how-to-get-started-with-hadoop-120314-approvednew25-141210163126-conversion-gate-141210163800-conversion-gate02
Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before. Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to: Approach Big Data and associated business challenges -- Identify what types of new insights can be revealed by Big Data -- Staff for this undertaking and implement the technology necessary to be successful -- Take the first steps toward getting started with Big Data on Hadoop]]>
Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before. Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to: Approach Big Data and associated business challenges -- Identify what types of new insights can be revealed by Big Data -- Staff for this undertaking and implement the technology necessary to be successful -- Take the first steps toward getting started with Big Data on Hadoop]]> Wed, 10 Dec 2014 16:38:00 GMT /slideshow/getting-started-with-big-data-for-business-managers-42583327/42583327 Datameer@slideshare.net(Datameer) Getting Started with Big Data for Business Managers Datameer Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before. Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to: Approach Big Data and associated business challenges -- Identify what types of new insights can be revealed by Big Data -- Staff for this undertaking and implement the technology necessary to be successful -- Take the first steps toward getting started with Big Data on Hadoop <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/final-datameer-ovum-how-to-get-started-with-hadoop-120314-approvednew25-141210163126-conversion-gate-141210163800-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before. Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to: Approach Big Data and associated business challenges -- Identify what types of new insights can be revealed by Big Data -- Staff for this undertaking and implement the technology necessary to be successful -- Take the first steps toward getting started with Big Data on Hadoop

Getting Started with Big Data for Business Managers from Datameer

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1 The State of Big Data Adoption: A Glance at Top Industries Adopting Big Data & Top Use Cases /slideshow/state-of-big-data/42582594 141103bigdata-141210161351-conversion-gate01
This infographic highlights which industries are investing heavily in big data and the most common use cases.]]>
This infographic highlights which industries are investing heavily in big data and the most common use cases.]]> Wed, 10 Dec 2014 16:13:51 GMT /slideshow/state-of-big-data/42582594 Datameer@slideshare.net(Datameer) The State of Big Data Adoption: A Glance at Top Industries Adopting Big Data & Top Use Cases Datameer This infographic highlights which industries are investing heavily in big data and the most common use cases. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/141103bigdata-141210161351-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> This infographic highlights which industries are investing heavily in big data and the most common use cases.

The State of Big Data Adoption: A Glance at Top Industries Adopting Big Data & Top Use Cases from Datameer

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1 Understand Your Customer Buying Journey with Big Data /slideshow/understand-your-customer-buying-journey-with-big-data/37699500 customerbuyingjourneyss-140805174415-phpapp02
Imagine being able to use insights about your customer acquisition journey to design campaigns that improve conversion rates. What if you could identify points of failure along the customer acquisition path or during product usage? Today more than ever the role of the marketing and product executives have become data-driven. Business executives who leverage data to understand prospect and customer behavior have gained an edge over their peers. Big Data analytics is the key to unlocking insights from your customer behavior data and empowers you to combine and analyze all of your customer interaction data to drive customer acquisition and loyalty. ]]>
Imagine being able to use insights about your customer acquisition journey to design campaigns that improve conversion rates. What if you could identify points of failure along the customer acquisition path or during product usage? Today more than ever the role of the marketing and product executives have become data-driven. Business executives who leverage data to understand prospect and customer behavior have gained an edge over their peers. Big Data analytics is the key to unlocking insights from your customer behavior data and empowers you to combine and analyze all of your customer interaction data to drive customer acquisition and loyalty. ]]> Tue, 05 Aug 2014 17:44:15 GMT /slideshow/understand-your-customer-buying-journey-with-big-data/37699500 Datameer@slideshare.net(Datameer) Understand Your Customer Buying Journey with Big Data Datameer Imagine being able to use insights about your customer acquisition journey to design campaigns that improve conversion rates. What if you could identify points of failure along the customer acquisition path or during product usage? Today more than ever the role of the marketing and product executives have become data-driven. Business executives who leverage data to understand prospect and customer behavior have gained an edge over their peers. Big Data analytics is the key to unlocking insights from your customer behavior data and empowers you to combine and analyze all of your customer interaction data to drive customer acquisition and loyalty. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/customerbuyingjourneyss-140805174415-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Imagine being able to use insights about your customer acquisition journey to design campaigns that improve conversion rates. What if you could identify points of failure along the customer acquisition path or during product usage? Today more than ever the role of the marketing and product executives have become data-driven. Business executives who leverage data to understand prospect and customer behavior have gained an edge over their peers. Big Data analytics is the key to unlocking insights from your customer behavior data and empowers you to combine and analyze all of your customer interaction data to drive customer acquisition and loyalty.

Understand Your Customer Buying Journey with Big Data from Datameer

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1 Analyzing Unstructured Data in Hadoop Webinar /slideshow/analyzing-unstructured-data-in-hadoop-webinar/36123494 unstructureddatawebinarbrighttalkss-140620163212-phpapp01
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data. This on-demand webinar will highlight and discuss: How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities ]]>
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data. This on-demand webinar will highlight and discuss: How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities ]]> Fri, 20 Jun 2014 16:32:12 GMT /slideshow/analyzing-unstructured-data-in-hadoop-webinar/36123494 Datameer@slideshare.net(Datameer) Analyzing Unstructured Data in Hadoop Webinar Datameer Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data. This on-demand webinar will highlight and discuss: How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unstructureddatawebinarbrighttalkss-140620163212-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data. This on-demand webinar will highlight and discuss: How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities

Analyzing Unstructured Data in Hadoop Webinar from Datameer

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1 How to Avoid Pitfalls in Big Data Analytics Webinar /slideshow/how-to-avoid-pitfalls-in-big-data-analytics/34579728 webinar-howtoavoidpitfallsinbigdataanalyticsss-140512131212-phpapp01
Big data analytics is revolutionizing the way businesses are collecting, storing, and more importantly, analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts. Watch this webinar to learn how to navigate the most common obstacles of big data analytics. Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics. In this webinar, we will show you how to: • Find the balance between infrastructure and business use cases • Overcome challenges of using multiple tools that address big data analytics • Leverage all your resources (data scientists, IT and analysts) most effectively ]]>
Big data analytics is revolutionizing the way businesses are collecting, storing, and more importantly, analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts. Watch this webinar to learn how to navigate the most common obstacles of big data analytics. Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics. In this webinar, we will show you how to: • Find the balance between infrastructure and business use cases • Overcome challenges of using multiple tools that address big data analytics • Leverage all your resources (data scientists, IT and analysts) most effectively ]]> Mon, 12 May 2014 13:12:12 GMT /slideshow/how-to-avoid-pitfalls-in-big-data-analytics/34579728 Datameer@slideshare.net(Datameer) How to Avoid Pitfalls in Big Data Analytics Webinar Datameer Big data analytics is revolutionizing the way businesses are collecting, storing, and more importantly, analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts. Watch this webinar to learn how to navigate the most common obstacles of big data analytics. Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics. In this webinar, we will show you how to: • Find the balance between infrastructure and business use cases • Overcome challenges of using multiple tools that address big data analytics • Leverage all your resources (data scientists, IT and analysts) most effectively <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinar-howtoavoidpitfallsinbigdataanalyticsss-140512131212-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Big data analytics is revolutionizing the way businesses are collecting, storing, and more importantly, analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts. Watch this webinar to learn how to navigate the most common obstacles of big data analytics. Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics. In this webinar, we will show you how to: • Find the balance between infrastructure and business use cases • Overcome challenges of using multiple tools that address big data analytics • Leverage all your resources (data scientists, IT and analysts) most effectively

How to Avoid Pitfalls in Big Data Analytics Webinar from Datameer

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1 Webinar - Introducing Datameer 4.0: Visual, End-to-End /slideshow/webinar-introducing-datameer-40-visual-endtoend/34148647 introducing4-140430185659-phpapp02
In Big Data projects, analysts often spend 80% of their time preparing data for analysis. In addition, users don’t have a good understanding of their data quality. Today there are multiple tools that assist with integration, data preparation, analysis and visualization. However, data quality continues to be one of the biggest challenges businesses face when deploying big data analytics. People need to profile their data and ensure data quality to get accurate insights and make informed business decisions. Join Datameer as we address these pain points with visualizations at every step. This webinar will highlight and showcase: -How visual data profiling reduces the guesswork in the data wrangling process -Enhanced interactive data mining capabilities reduce time to insight -A demonstration of the new 4.0 features and functions]]>
In Big Data projects, analysts often spend 80% of their time preparing data for analysis. In addition, users don’t have a good understanding of their data quality. Today there are multiple tools that assist with integration, data preparation, analysis and visualization. However, data quality continues to be one of the biggest challenges businesses face when deploying big data analytics. People need to profile their data and ensure data quality to get accurate insights and make informed business decisions. Join Datameer as we address these pain points with visualizations at every step. This webinar will highlight and showcase: -How visual data profiling reduces the guesswork in the data wrangling process -Enhanced interactive data mining capabilities reduce time to insight -A demonstration of the new 4.0 features and functions]]> Wed, 30 Apr 2014 18:56:59 GMT /slideshow/webinar-introducing-datameer-40-visual-endtoend/34148647 Datameer@slideshare.net(Datameer) Webinar - Introducing Datameer 4.0: Visual, End-to-End Datameer In Big Data projects, analysts often spend 80% of their time preparing data for analysis. In addition, users don’t have a good understanding of their data quality. Today there are multiple tools that assist with integration, data preparation, analysis and visualization. However, data quality continues to be one of the biggest challenges businesses face when deploying big data analytics. People need to profile their data and ensure data quality to get accurate insights and make informed business decisions. Join Datameer as we address these pain points with visualizations at every step. This webinar will highlight and showcase: -How visual data profiling reduces the guesswork in the data wrangling process -Enhanced interactive data mining capabilities reduce time to insight -A demonstration of the new 4.0 features and functions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introducing4-140430185659-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> In Big Data projects, analysts often spend 80% of their time preparing data for analysis. In addition, users don’t have a good understanding of their data quality. Today there are multiple tools that assist with integration, data preparation, analysis and visualization. However, data quality continues to be one of the biggest challenges businesses face when deploying big data analytics. People need to profile their data and ensure data quality to get accurate insights and make informed business decisions. Join Datameer as we address these pain points with visualizations at every step. This webinar will highlight and showcase: -How visual data profiling reduces the guesswork in the data wrangling process -Enhanced interactive data mining capabilities reduce time to insight -A demonstration of the new 4.0 features and functions

Webinar - Introducing Datameer 4.0: Visual, End-to-End from Datameer

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1 Webinar - Big Data: Power to the User /slideshow/webinar-big-data-power-to-the-user/33958594 bigdatapowertousersspdf-140425184312-phpapp01
What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product]]>
What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product]]> Fri, 25 Apr 2014 18:43:12 GMT /slideshow/webinar-big-data-power-to-the-user/33958594 Datameer@slideshare.net(Datameer) Webinar - Big Data: Power to the User Datameer What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatapowertousersspdf-140425184312-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product

Webinar - Big Data: Power to the User from Datameer

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1 Why Use Hadoop for Big Data Analytics? /slideshow/why-hadoop/33571185 whyhadoophi-140415161746-phpapp02
Hadoop provides 4 key breakthroughs compared to traditional solutions]]>
Hadoop provides 4 key breakthroughs compared to traditional solutions]]> Tue, 15 Apr 2014 16:17:45 GMT /slideshow/why-hadoop/33571185 Datameer@slideshare.net(Datameer) Why Use Hadoop for Big Data Analytics? Datameer Hadoop provides 4 key breakthroughs compared to traditional solutions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whyhadoophi-140415161746-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hadoop provides 4 key breakthroughs compared to traditional solutions

Why Use Hadoop for Big Data Analytics? from Datameer

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1 Why Use Hadoop? /slideshow/why-use-hadoop/33526268 whyhadoophi-140414191832-phpapp01
Hadoop provides 4 key breakthroughs compared to traditional solutions]]>
Hadoop provides 4 key breakthroughs compared to traditional solutions]]> Mon, 14 Apr 2014 19:18:32 GMT /slideshow/why-use-hadoop/33526268 Datameer@slideshare.net(Datameer) Why Use Hadoop? Datameer Hadoop provides 4 key breakthroughs compared to traditional solutions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whyhadoophi-140414191832-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hadoop provides 4 key breakthroughs compared to traditional solutions

Why Use Hadoop? from Datameer

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1 Online Fraud Detection Using Big Data Analytics Webinar /slideshow/online-fraud-detection-using-big-data-analytics-webinar-32814816/32814816 onlinefrauddetectionss-140327105608-phpapp02
With the ease and convenience of the internet, shopping online has never been faster and simpler than with a click of a button. But with this convenience, lurks the consequence for online fraud. Companies and merchants lose valuable time and money to online thieves scamming the web. Learn how to identify patterns with Datameer and Trustev as they demonstrate how to take control of the situation and combat combat against suspicious activity by using big data analytics. In this webinar, you will take away: *An understanding of the complexities and challenges of online fraud today *Best practices for merchants and companies to protect themselves from fraud *A demonstration of fraud reporting, prevention and prediction]]>
With the ease and convenience of the internet, shopping online has never been faster and simpler than with a click of a button. But with this convenience, lurks the consequence for online fraud. Companies and merchants lose valuable time and money to online thieves scamming the web. Learn how to identify patterns with Datameer and Trustev as they demonstrate how to take control of the situation and combat combat against suspicious activity by using big data analytics. In this webinar, you will take away: *An understanding of the complexities and challenges of online fraud today *Best practices for merchants and companies to protect themselves from fraud *A demonstration of fraud reporting, prevention and prediction]]> Thu, 27 Mar 2014 10:56:08 GMT /slideshow/online-fraud-detection-using-big-data-analytics-webinar-32814816/32814816 Datameer@slideshare.net(Datameer) Online Fraud Detection Using Big Data Analytics Webinar Datameer With the ease and convenience of the internet, shopping online has never been faster and simpler than with a click of a button. But with this convenience, lurks the consequence for online fraud. Companies and merchants lose valuable time and money to online thieves scamming the web. Learn how to identify patterns with Datameer and Trustev as they demonstrate how to take control of the situation and combat combat against suspicious activity by using big data analytics. In this webinar, you will take away: *An understanding of the complexities and challenges of online fraud today *Best practices for merchants and companies to protect themselves from fraud *A demonstration of fraud reporting, prevention and prediction <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/onlinefrauddetectionss-140327105608-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> With the ease and convenience of the internet, shopping online has never been faster and simpler than with a click of a button. But with this convenience, lurks the consequence for online fraud. Companies and merchants lose valuable time and money to online thieves scamming the web. Learn how to identify patterns with Datameer and Trustev as they demonstrate how to take control of the situation and combat combat against suspicious activity by using big data analytics. In this webinar, you will take away: *An understanding of the complexities and challenges of online fraud today *Best practices for merchants and companies to protect themselves from fraud *A demonstration of fraud reporting, prevention and prediction

Online Fraud Detection Using Big Data Analytics Webinar from Datameer

]]> 4185 2 https://cdn.slidesharecdn.com/ss_thumbnails/onlinefrauddetectionss-140327105608-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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1 Instant Visualizations in Every Step of Analysis /slideshow/instant-visualizations-in-every-step-of-analyis-pdf-ss/32013832 instantvisualizationsineverystepofanalyis-pdf-ss-140306184846-phpapp01
Surveys reveal that concerns about data quality can create barriers for companies deploying Analytics and BI initiatives. How can you readily identify and correct data quality issues at every step of your big data analysis to ensure accurate insights into customer behavior? In this webcast, we'll discuss how IT and business users can leverage self-service visualizations to quickly spot and correct data anomalies throughout the analytic process. In this webinar, you will learn how to: -Continuously visualize a profile of your data to identify inconsistencies, incompleteness and duplicates in your data -Visualize machine learning and data mining, including clustering, decision tree analysis, column correlations and recommendations -Create self-service visualizations for business and IT users]]>
Surveys reveal that concerns about data quality can create barriers for companies deploying Analytics and BI initiatives. How can you readily identify and correct data quality issues at every step of your big data analysis to ensure accurate insights into customer behavior? In this webcast, we'll discuss how IT and business users can leverage self-service visualizations to quickly spot and correct data anomalies throughout the analytic process. In this webinar, you will learn how to: -Continuously visualize a profile of your data to identify inconsistencies, incompleteness and duplicates in your data -Visualize machine learning and data mining, including clustering, decision tree analysis, column correlations and recommendations -Create self-service visualizations for business and IT users]]> Thu, 06 Mar 2014 18:48:46 GMT /slideshow/instant-visualizations-in-every-step-of-analyis-pdf-ss/32013832 Datameer@slideshare.net(Datameer) Instant Visualizations in Every Step of Analysis Datameer Surveys reveal that concerns about data quality can create barriers for companies deploying Analytics and BI initiatives. How can you readily identify and correct data quality issues at every step of your big data analysis to ensure accurate insights into customer behavior? In this webcast, we'll discuss how IT and business users can leverage self-service visualizations to quickly spot and correct data anomalies throughout the analytic process. In this webinar, you will learn how to: -Continuously visualize a profile of your data to identify inconsistencies, incompleteness and duplicates in your data -Visualize machine learning and data mining, including clustering, decision tree analysis, column correlations and recommendations -Create self-service visualizations for business and IT users <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/instantvisualizationsineverystepofanalyis-pdf-ss-140306184846-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Surveys reveal that concerns about data quality can create barriers for companies deploying Analytics and BI initiatives. How can you readily identify and correct data quality issues at every step of your big data analysis to ensure accurate insights into customer behavior? In this webcast, we'll discuss how IT and business users can leverage self-service visualizations to quickly spot and correct data anomalies throughout the analytic process. In this webinar, you will learn how to: -Continuously visualize a profile of your data to identify inconsistencies, incompleteness and duplicates in your data -Visualize machine learning and data mining, including clustering, decision tree analysis, column correlations and recommendations -Create self-service visualizations for business and IT users

Instant Visualizations in Every Step of Analysis from Datameer

]]> 1336 7 https://cdn.slidesharecdn.com/ss_thumbnails/instantvisualizationsineverystepofanalyis-pdf-ss-140306184846-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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1 Customer Case Studies of Self-Service Big Data Analytics /slideshow/customer-case-studies-of-big-data/31783040 customercasestudiesofselfservicebigdataanalytics-ss-140228193255-phpapp01
Self-service tools empowers business users to rapidly gather, analyze and visualize data from broad, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free your IT staff from the need to respond to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities. From these slides, you will learn: -Customer examples and return on investment from self-service big data analytics -How business analysts can take advantage of Machine Learning -Best practices in self-service big data analytics]]>
Self-service tools empowers business users to rapidly gather, analyze and visualize data from broad, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free your IT staff from the need to respond to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities. From these slides, you will learn: -Customer examples and return on investment from self-service big data analytics -How business analysts can take advantage of Machine Learning -Best practices in self-service big data analytics]]> Fri, 28 Feb 2014 19:32:55 GMT /slideshow/customer-case-studies-of-big-data/31783040 Datameer@slideshare.net(Datameer) Customer Case Studies of Self-Service Big Data Analytics Datameer Self-service tools empowers business users to rapidly gather, analyze and visualize data from broad, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free your IT staff from the need to respond to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities. From these slides, you will learn: -Customer examples and return on investment from self-service big data analytics -How business analysts can take advantage of Machine Learning -Best practices in self-service big data analytics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/customercasestudiesofselfservicebigdataanalytics-ss-140228193255-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Self-service tools empowers business users to rapidly gather, analyze and visualize data from broad, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free your IT staff from the need to respond to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities. From these slides, you will learn: -Customer examples and return on investment from self-service big data analytics -How business analysts can take advantage of Machine Learning -Best practices in self-service big data analytics

Customer Case Studies of Self-Service Big Data Analytics from Datameer

]]> 1340 6 https://cdn.slidesharecdn.com/ss_thumbnails/customercasestudiesofselfservicebigdataanalytics-ss-140228193255-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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1 BI, Hive or Big Data Analytics? /slideshow/bi-hivebigdataanalytics-ss/31458848 bi-hive-bigdataanalyticsss-140220183429-phpapp02
As more organizations look to Hadoop as the technology solution for big data analytics, common questions arise. Join us in this case study look at an online services provider's experience with Big Data and how they answered the questions: *What does big data analytics do that my existing BI software doesn’t? *Will Hadoop replace my data warehouse? *What about Hive?]]>
As more organizations look to Hadoop as the technology solution for big data analytics, common questions arise. Join us in this case study look at an online services provider's experience with Big Data and how they answered the questions: *What does big data analytics do that my existing BI software doesn’t? *Will Hadoop replace my data warehouse? *What about Hive?]]> Thu, 20 Feb 2014 18:34:29 GMT /slideshow/bi-hivebigdataanalytics-ss/31458848 Datameer@slideshare.net(Datameer) BI, Hive or Big Data Analytics? Datameer As more organizations look to Hadoop as the technology solution for big data analytics, common questions arise. Join us in this case study look at an online services provider's experience with Big Data and how they answered the questions: *What does big data analytics do that my existing BI software doesn’t? *Will Hadoop replace my data warehouse? *What about Hive? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bi-hive-bigdataanalyticsss-140220183429-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> As more organizations look to Hadoop as the technology solution for big data analytics, common questions arise. Join us in this case study look at an online services provider's experience with Big Data and how they answered the questions: *What does big data analytics do that my existing BI software doesn’t? *Will Hadoop replace my data warehouse? *What about Hive?

BI, Hive or Big Data Analytics? from Datameer

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1 Is Your Hadoop Environment Secure? /slideshow/is-your-hadoop-environment-secure/31412254 buildingsecurehadoopenvironmentsfinalss-140219194028-phpapp01
How do you protect the data in big data analytics projects? As big data initiatives focus on volume, velocity or variety of data, often overlooked in the big data project is the security of the data. This is especially important for financial services, healthcare and government or anytime sensitive data is analyzed. This webinar highlights: *Hadoop security landscape *Hadoop encryption, masking, and access control *Customer examples of securing hadoop environments]]>
How do you protect the data in big data analytics projects? As big data initiatives focus on volume, velocity or variety of data, often overlooked in the big data project is the security of the data. This is especially important for financial services, healthcare and government or anytime sensitive data is analyzed. This webinar highlights: *Hadoop security landscape *Hadoop encryption, masking, and access control *Customer examples of securing hadoop environments]]> Wed, 19 Feb 2014 19:40:28 GMT /slideshow/is-your-hadoop-environment-secure/31412254 Datameer@slideshare.net(Datameer) Is Your Hadoop Environment Secure? Datameer How do you protect the data in big data analytics projects? As big data initiatives focus on volume, velocity or variety of data, often overlooked in the big data project is the security of the data. This is especially important for financial services, healthcare and government or anytime sensitive data is analyzed. This webinar highlights: *Hadoop security landscape *Hadoop encryption, masking, and access control *Customer examples of securing hadoop environments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildingsecurehadoopenvironmentsfinalss-140219194028-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> How do you protect the data in big data analytics projects? As big data initiatives focus on volume, velocity or variety of data, often overlooked in the big data project is the security of the data. This is especially important for financial services, healthcare and government or anytime sensitive data is analyzed. This webinar highlights: *Hadoop security landscape *Hadoop encryption, masking, and access control *Customer examples of securing hadoop environments

Is Your Hadoop Environment Secure? from Datameer

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1 Fight Fraud with Big Data Analytics /slideshow/fight-fraud-with-big-data-anal/30873733 fightfraudwithbigdataanalyticsss-140205182706-phpapp01
You can view the full presentation of this webinar here: http://info.datameer.com/�ݺ�ߣshare-Fighting-Fraud-this-Holiday-Season.html In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season. Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season. In this webinar, you will learn about: current challenges in identifying fraud what to look for in a big data solution addressing fraud how big data analytics can identify credit card fraud best practices]]>
You can view the full presentation of this webinar here: http://info.datameer.com/�ݺ�ߣshare-Fighting-Fraud-this-Holiday-Season.html In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season. Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season. In this webinar, you will learn about: current challenges in identifying fraud what to look for in a big data solution addressing fraud how big data analytics can identify credit card fraud best practices]]> Wed, 05 Feb 2014 18:27:06 GMT /slideshow/fight-fraud-with-big-data-anal/30873733 Datameer@slideshare.net(Datameer) Fight Fraud with Big Data Analytics Datameer You can view the full presentation of this webinar here: http://info.datameer.com/�ݺ�ߣshare-Fighting-Fraud-this-Holiday-Season.html In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season. Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season. In this webinar, you will learn about: current challenges in identifying fraud what to look for in a big data solution addressing fraud how big data analytics can identify credit card fraud best practices <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fightfraudwithbigdataanalyticsss-140205182706-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> You can view the full presentation of this webinar here: http://info.datameer.com/�ݺ�ߣshare-Fighting-Fraud-this-Holiday-Season.html In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season. Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season. In this webinar, you will learn about: current challenges in identifying fraud what to look for in a big data solution addressing fraud how big data analytics can identify credit card fraud best practices

Fight Fraud with Big Data Analytics from Datameer

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1 Complement Your Existing Data Warehouse with Big Data & Hadoop /slideshow/complement-dw-with-hadoop-ss-final/30871247 complementdwwithhadoopssfinal-140205170002-phpapp02
To view the full webinar, please go to: http://info.datameer.com/�ݺ�ߣshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging. Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis. Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to: -Get all the data your business needs quickly into one environment Shorten the time to insight from months to days Extend the life of your existing data warehouse investments Enable your business analysts to ask and answer bigger questions]]>
To view the full webinar, please go to: http://info.datameer.com/�ݺ�ߣshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging. Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis. Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to: -Get all the data your business needs quickly into one environment Shorten the time to insight from months to days Extend the life of your existing data warehouse investments Enable your business analysts to ask and answer bigger questions]]> Wed, 05 Feb 2014 17:00:01 GMT /slideshow/complement-dw-with-hadoop-ss-final/30871247 Datameer@slideshare.net(Datameer) Complement Your Existing Data Warehouse with Big Data & Hadoop Datameer To view the full webinar, please go to: http://info.datameer.com/�ݺ�ߣshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging. Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis. Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to: -Get all the data your business needs quickly into one environment Shorten the time to insight from months to days Extend the life of your existing data warehouse investments Enable your business analysts to ask and answer bigger questions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/complementdwwithhadoopssfinal-140205170002-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> To view the full webinar, please go to: http://info.datameer.com/�ݺ�ߣshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging. Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis. Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to: -Get all the data your business needs quickly into one environment Shorten the time to insight from months to days Extend the life of your existing data warehouse investments Enable your business analysts to ask and answer bigger questions

Complement Your Existing Data Warehouse with Big Data & Hadoop from Datameer

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1 Lean Production Meets Big Data: A Next Generation Use Case /slideshow/lean-production-meets-big-data-a-next-generation-use-case/30869930 bigdatawebinarleanprodss-final-140205161624-phpapp01
Watch this recording at: http://info.datameer.com/Online-�ݺ�ߣshare-Lean-Production-Meets-Big-Data.html Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014. This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line. Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss: -the current manufacturing challenges and how big data analytics can improve these inefficiencies -how to reduce production outages by 10% -a next gen big data analytic use case focused on manufacturing sensor data]]>
Watch this recording at: http://info.datameer.com/Online-�ݺ�ߣshare-Lean-Production-Meets-Big-Data.html Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014. This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line. Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss: -the current manufacturing challenges and how big data analytics can improve these inefficiencies -how to reduce production outages by 10% -a next gen big data analytic use case focused on manufacturing sensor data]]> Wed, 05 Feb 2014 16:16:24 GMT /slideshow/lean-production-meets-big-data-a-next-generation-use-case/30869930 Datameer@slideshare.net(Datameer) Lean Production Meets Big Data: A Next Generation Use Case Datameer Watch this recording at: http://info.datameer.com/Online-�ݺ�ߣshare-Lean-Production-Meets-Big-Data.html Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014. This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line. Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss: -the current manufacturing challenges and how big data analytics can improve these inefficiencies -how to reduce production outages by 10% -a next gen big data analytic use case focused on manufacturing sensor data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatawebinarleanprodss-final-140205161624-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Watch this recording at: http://info.datameer.com/Online-�ݺ�ߣshare-Lean-Production-Meets-Big-Data.html Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014. This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line. Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss: -the current manufacturing challenges and how big data analytics can improve these inefficiencies -how to reduce production outages by 10% -a next gen big data analytic use case focused on manufacturing sensor data

Lean Production Meets Big Data: A Next Generation Use Case from Datameer

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1 The Economics of SQL on Hadoop /slideshow/economics-of-sql-on-hadoop-nov-2013-final/30677904 economicsofsqlonhadoopnov2013final-140131124733-phpapp02
Watch the recorded event at: http://info.datameer.com/�ݺ�ߣshare- Economics-SQL-Hadoop.html As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster. However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be. These slides by EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments. You will understanding: *how SQL negates the inherent benefits of Hadoop *why technological paradigm changes can sometimes be good *use cases when SQL on Hadoop makes sense]]>
Watch the recorded event at: http://info.datameer.com/�ݺ�ߣshare- Economics-SQL-Hadoop.html As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster. However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be. These slides by EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments. You will understanding: *how SQL negates the inherent benefits of Hadoop *why technological paradigm changes can sometimes be good *use cases when SQL on Hadoop makes sense]]> Fri, 31 Jan 2014 12:47:33 GMT /slideshow/economics-of-sql-on-hadoop-nov-2013-final/30677904 Datameer@slideshare.net(Datameer) The Economics of SQL on Hadoop Datameer Watch the recorded event at: http://info.datameer.com/�ݺ�ߣshare- Economics-SQL-Hadoop.html As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster. However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be. These slides by EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments. You will understanding: *how SQL negates the inherent benefits of Hadoop *why technological paradigm changes can sometimes be good *use cases when SQL on Hadoop makes sense <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/economicsofsqlonhadoopnov2013final-140131124733-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Watch the recorded event at: http://info.datameer.com/�ݺ�ߣshare- Economics-SQL-Hadoop.html As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster. However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be. These slides by EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments. You will understanding: *how SQL negates the inherent benefits of Hadoop *why technological paradigm changes can sometimes be good *use cases when SQL on Hadoop makes sense

The Economics of SQL on Hadoop from Datameer

]]> 977 6 https://cdn.slidesharecdn.com/ss_thumbnails/economicsofsqlonhadoopnov2013final-140131124733-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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