�ݺ�ߣshows by User: itsmaloy

�ݺ�ߣshows by User: itsmaloy / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: itsmaloy / Sun, 09 Feb 2025 01:18:52 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: itsmaloy Data Modeling in Hadoop - Essentials for building data driven applications /slideshow/data-modeling-in-hadoop-essentials-for-building-data-driven-applications/275484968 datamodelinginhadoop-250209011852-c45a0c28
Data Modeling in Hadoop - by Maloy Manna from Data Innovation Lab]]>
Data Modeling in Hadoop - by Maloy Manna from Data Innovation Lab]]> Sun, 09 Feb 2025 01:18:52 GMT /slideshow/data-modeling-in-hadoop-essentials-for-building-data-driven-applications/275484968 itsmaloy@slideshare.net(itsmaloy) Data Modeling in Hadoop - Essentials for building data driven applications itsmaloy Data Modeling in Hadoop - by Maloy Manna from Data Innovation Lab <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datamodelinginhadoop-250209011852-c45a0c28-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data Modeling in Hadoop - by Maloy Manna from Data Innovation Lab

Data Modeling in Hadoop - Essentials for building data driven applications from Maloy Manna, PMP速

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0 From Big Data to AI /slideshow/from-big-data-to-ai/83928883 frombigdatatoai-171212125022
The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere. • Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data. • But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do? • This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.]]>
The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere. • Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data. • But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do? • This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.]]> Tue, 12 Dec 2017 12:50:22 GMT /slideshow/from-big-data-to-ai/83928883 itsmaloy@slideshare.net(itsmaloy) From Big Data to AI itsmaloy The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere. • Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data. • But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do? • This talk will discuss technical options to implement machine learning on big data architectures and how to move forward. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/frombigdatatoai-171212125022-thumbnail.jpg?width=120&height=120&fit=bounds" /> The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere. • Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data. • But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do? • This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.

From Big Data to AI from Maloy Manna, PMP速

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0 Data processing with spark in r & python /itsmaloy/data-processing-with-spark-in-r-amp-python dataprocessingwithsparkinrpython-170109161631
In this webinar, we'll see how to use Spark to process data from various sources in R and Python and how new tools like Spark SQL and data frames make it easy to perform structured data processing. ]]>
In this webinar, we'll see how to use Spark to process data from various sources in R and Python and how new tools like Spark SQL and data frames make it easy to perform structured data processing. ]]> Mon, 09 Jan 2017 16:16:31 GMT /itsmaloy/data-processing-with-spark-in-r-amp-python itsmaloy@slideshare.net(itsmaloy) Data processing with spark in r & python itsmaloy In this webinar, we'll see how to use Spark to process data from various sources in R and Python and how new tools like Spark SQL and data frames make it easy to perform structured data processing. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataprocessingwithsparkinrpython-170109161631-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this webinar, we'll see how to use Spark to process data from various sources in R and Python and how new tools like Spark SQL and data frames make it easy to perform structured data processing.

Data processing with spark in r & python from Maloy Manna, PMP速

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0 Pre processing big data /slideshow/pre-processing-big-data/67196267 pre-processingbigdatav2-161014205533
Featuring data engineering patterns and practical examples in Python and R, this webinar focuses on technical considerations and data engineering techniques to optimize data preparation to get the most value from your big data pipeline.]]>
Featuring data engineering patterns and practical examples in Python and R, this webinar focuses on technical considerations and data engineering techniques to optimize data preparation to get the most value from your big data pipeline.]]> Fri, 14 Oct 2016 20:55:33 GMT /slideshow/pre-processing-big-data/67196267 itsmaloy@slideshare.net(itsmaloy) Pre processing big data itsmaloy Featuring data engineering patterns and practical examples in Python and R, this webinar focuses on technical considerations and data engineering techniques to optimize data preparation to get the most value from your big data pipeline. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pre-processingbigdatav2-161014205533-thumbnail.jpg?width=120&height=120&fit=bounds" /> Featuring data engineering patterns and practical examples in Python and R, this webinar focuses on technical considerations and data engineering techniques to optimize data preparation to get the most value from your big data pipeline.

Pre processing big data from Maloy Manna, PMP速

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0 Data Visualization in Data Science /slideshow/data-visualization-in-data-science/50588906 dataviz-v2-150716094946-lva1-app6891
Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.]]>
Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.]]> Thu, 16 Jul 2015 09:49:46 GMT /slideshow/data-visualization-in-data-science/50588906 itsmaloy@slideshare.net(itsmaloy) Data Visualization in Data Science itsmaloy Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataviz-v2-150716094946-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data visualization in data science: exploratory EDA, explanatory. Anscobe's quartet, design principles, visual encoding, design engineering and journalism, choosing the right graph, narrative structures, technology and tools.

Data Visualization in Data Science from Maloy Manna, PMP速

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0 Coursera Data Analysis and Statistical Inference 2014 /slideshow/coursera-statistics-2014-41814965/41814965 courserastatistics2014-141120111104-conversion-gate01
Coursera Statement of Accomplishment - Data Analysis and Statistical Inference - Duke University]]>
Coursera Statement of Accomplishment - Data Analysis and Statistical Inference - Duke University]]> Thu, 20 Nov 2014 11:11:04 GMT /slideshow/coursera-statistics-2014-41814965/41814965 itsmaloy@slideshare.net(itsmaloy) Coursera Data Analysis and Statistical Inference 2014 itsmaloy Coursera Statement of Accomplishment - Data Analysis and Statistical Inference - Duke University <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courserastatistics2014-141120111104-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Coursera Statement of Accomplishment - Data Analysis and Statistical Inference - Duke University

Coursera Data Analysis and Statistical Inference 2014 from Maloy Manna, PMP速

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0 Coursera Getting and Cleaning Data 2014 /slideshow/coursera-getdata-2014-38884584/38884584 courseragetdata2014-140909131859-phpapp01
Coursera Statement of Accomplishment - Getting and Cleaning Data 2014 Johns Hopkins University]]>
Coursera Statement of Accomplishment - Getting and Cleaning Data 2014 Johns Hopkins University]]> Tue, 09 Sep 2014 13:18:59 GMT /slideshow/coursera-getdata-2014-38884584/38884584 itsmaloy@slideshare.net(itsmaloy) Coursera Getting and Cleaning Data 2014 itsmaloy Coursera Statement of Accomplishment - Getting and Cleaning Data 2014 Johns Hopkins University <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courseragetdata2014-140909131859-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Coursera Statement of Accomplishment - Getting and Cleaning Data 2014 Johns Hopkins University

Coursera Getting and Cleaning Data 2014 from Maloy Manna, PMP速

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0 Coursera Exploratory Data Analysis 2014 /slideshow/coursera-exdata-2014-38652782/38652782 courseraexdata2014-140903112946-phpapp02
Coursera Statement of Accomplishment - Exploratory Data Analysis 2014 Johns Hopkins University]]>
Coursera Statement of Accomplishment - Exploratory Data Analysis 2014 Johns Hopkins University]]> Wed, 03 Sep 2014 11:29:46 GMT /slideshow/coursera-exdata-2014-38652782/38652782 itsmaloy@slideshare.net(itsmaloy) Coursera Exploratory Data Analysis 2014 itsmaloy Coursera Statement of Accomplishment - Exploratory Data Analysis 2014 Johns Hopkins University <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courseraexdata2014-140903112946-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Coursera Statement of Accomplishment - Exploratory Data Analysis 2014 Johns Hopkins University

Coursera Exploratory Data Analysis 2014 from Maloy Manna, PMP速

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0 Scrum Certification - SFC /slideshow/scrum-certificate-62867introfinal/38410597 scrumcertificate62867introfinal-140827082830-phpapp02
Scrum Fundamentals Certification - SFC]]>
Scrum Fundamentals Certification - SFC]]> Wed, 27 Aug 2014 08:28:30 GMT /slideshow/scrum-certificate-62867introfinal/38410597 itsmaloy@slideshare.net(itsmaloy) Scrum Certification - SFC itsmaloy Scrum Fundamentals Certification - SFC <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scrumcertificate62867introfinal-140827082830-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Scrum Fundamentals Certification - SFC

Scrum Certification - SFC from Maloy Manna, PMP速

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0 Coursera R Programming 2014 /slideshow/coursera-rprog-2014-38164550/38164550 courserarprog2014-140820034823-phpapp02
Coursera Statement of Accomplishment - R Programming - 2014 Johns Hopkins University]]>
Coursera Statement of Accomplishment - R Programming - 2014 Johns Hopkins University]]> Wed, 20 Aug 2014 03:48:23 GMT /slideshow/coursera-rprog-2014-38164550/38164550 itsmaloy@slideshare.net(itsmaloy) Coursera R Programming 2014 itsmaloy Coursera Statement of Accomplishment - R Programming - 2014 Johns Hopkins University <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courserarprog2014-140820034823-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Coursera Statement of Accomplishment - R Programming - 2014 Johns Hopkins University

Coursera R Programming 2014 from Maloy Manna, PMP速

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0 Coursera The Data Scientist's Toolbox 2014 /slideshow/coursera-datascitoolbox-2014-37764450/37764450 courseradatascitoolbox2014-140807092502-phpapp02
Coursera Statement of Accomplishment - The Data Scientist's Toolbox - 2014 Johns Hopkins Unniversity]]>
Coursera Statement of Accomplishment - The Data Scientist's Toolbox - 2014 Johns Hopkins Unniversity]]> Thu, 07 Aug 2014 09:25:02 GMT /slideshow/coursera-datascitoolbox-2014-37764450/37764450 itsmaloy@slideshare.net(itsmaloy) Coursera The Data Scientist's Toolbox 2014 itsmaloy Coursera Statement of Accomplishment - The Data Scientist's Toolbox - 2014 Johns Hopkins Unniversity <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courseradatascitoolbox2014-140807092502-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Coursera Statement of Accomplishment - The Data Scientist's Toolbox - 2014 Johns Hopkins Unniversity

Coursera The Data Scientist's Toolbox 2014 from Maloy Manna, PMP速

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0 https://cdn.slidesharecdn.com/profile-photo-itsmaloy-48x48.jpg?cb=1739035720 I manage data science engineering projects and build data driven products in an agile innovation lab. I'm a Business Intelligence & Big Data Program Manager with over 14 years experience in IT services and product development. My previous roles have been product manager, consultant, technical architect, project manager in analytics and data engineering. I specialize in: • Building data driven products and services • Project management using agile Scrum / Kanban, feature-driven-development • Pre-sales and technical consulting in data and analytics solutions • Offshore delivery management: consulting, captives and shared services • Technologies: R, Python, bash, Hadoop, Spark, Orac biguru.wordpress.com https://cdn.slidesharecdn.com/ss_thumbnails/datamodelinginhadoop-250209011852-c45a0c28-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-modeling-in-hadoop-essentials-for-building-data-driven-applications/275484968 Data Modeling in Hadoo... https://cdn.slidesharecdn.com/ss_thumbnails/frombigdatatoai-171212125022-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/from-big-data-to-ai/83928883 From Big Data to AI https://cdn.slidesharecdn.com/ss_thumbnails/dataprocessingwithsparkinrpython-170109161631-thumbnail.jpg?width=320&height=320&fit=bounds itsmaloy/data-processing-with-spark-in-r-amp-python Data processing with s...