際際滷shows by User: Avkashslide / http://www.slideshare.net/images/logo.gif 際際滷shows by User: Avkashslide / Fri, 13 Apr 2018 17:27:07 GMT 際際滷Share feed for 際際滷shows by User: Avkashslide AI Solutions with Macnica.ai - AI Expo 2018 Tokyo Japan /slideshow/ai-solutions-with-macnicaai-ai-expo-2018-tokyo-japan/93819401 ai-with-macnica-final-180413172707
In this presentation we talked about how macnica.ai is preparing to provide AI as solutions to Japanese enterprises and business. ]]>
In this presentation we talked about how macnica.ai is preparing to provide AI as solutions to Japanese enterprises and business. ]]> Fri, 13 Apr 2018 17:27:07 GMT /slideshow/ai-solutions-with-macnicaai-ai-expo-2018-tokyo-japan/93819401 Avkashslide@slideshare.net(Avkashslide) AI Solutions with Macnica.ai - AI Expo 2018 Tokyo Japan Avkashslide In this presentation we talked about how macnica.ai is preparing to provide AI as solutions to Japanese enterprises and business. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai-with-macnica-final-180413172707-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation we talked about how macnica.ai is preparing to provide AI as solutions to Japanese enterprises and business.
AI Solutions with Macnica.ai - AI Expo 2018 Tokyo Japan from Avkash Chauhan
]]> 663 6 https://cdn.slidesharecdn.com/ss_thumbnails/ai-with-macnica-final-180413172707-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 AI Expo - AI Revolution in Silicon Valley /slideshow/ai-expo-ai-revolution-in-silicon-valley/93816056 airevolutioninvalleyai-with-macnica-final-180413165729
Learn what is happening in Silicon Valley regarding advances in Artificial Intelligence through this presentation. We shared this presentation with the AI expo visitors. ]]>
Learn what is happening in Silicon Valley regarding advances in Artificial Intelligence through this presentation. We shared this presentation with the AI expo visitors. ]]> Fri, 13 Apr 2018 16:57:29 GMT /slideshow/ai-expo-ai-revolution-in-silicon-valley/93816056 Avkashslide@slideshare.net(Avkashslide) AI Expo - AI Revolution in Silicon Valley Avkashslide Learn what is happening in Silicon Valley regarding advances in Artificial Intelligence through this presentation. We shared this presentation with the AI expo visitors. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/airevolutioninvalleyai-with-macnica-final-180413165729-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Learn what is happening in Silicon Valley regarding advances in Artificial Intelligence through this presentation. We shared this presentation with the AI expo visitors.
AI Expo - AI Revolution in Silicon Valley from Avkash Chauhan
]]> 431 2 https://cdn.slidesharecdn.com/ss_thumbnails/airevolutioninvalleyai-with-macnica-final-180413165729-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Nikkei xTech coverage on macnica.ai announcement /slideshow/nikkei-xtech-coverage-on-macnicaai-announcement/93815665 macnica-ai-xtech-news-coverage-180413165357
Nikkei xTech coverage on macnica.ai announcement]]>
Nikkei xTech coverage on macnica.ai announcement]]> Fri, 13 Apr 2018 16:53:57 GMT /slideshow/nikkei-xtech-coverage-on-macnicaai-announcement/93815665 Avkashslide@slideshare.net(Avkashslide) Nikkei xTech coverage on macnica.ai announcement Avkashslide Nikkei xTech coverage on macnica.ai announcement <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/macnica-ai-xtech-news-coverage-180413165357-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Nikkei xTech coverage on macnica.ai announcement
Nikkei xTech coverage on macnica.ai announcement from Avkash Chauhan
]]> 496 2 https://cdn.slidesharecdn.com/ss_thumbnails/macnica-ai-xtech-news-coverage-180413165357-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 H2O Core Introduction /slideshow/h2o-core-introduction/77622265 h2ocoreintro-170707203225
Presentation slides at Tokyo AI Team Meet-up]]>
Presentation slides at Tokyo AI Team Meet-up]]> Fri, 07 Jul 2017 20:32:25 GMT /slideshow/h2o-core-introduction/77622265 Avkashslide@slideshare.net(Avkashslide) H2O Core Introduction Avkashslide Presentation slides at Tokyo AI Team Meet-up <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/h2ocoreintro-170707203225-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation slides at Tokyo AI Team Meet-up
H2O Core Introduction from Avkash Chauhan
]]> 427 2 https://cdn.slidesharecdn.com/ss_thumbnails/h2ocoreintro-170707203225-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Creating AnswerBot with Keras and TensorFlow (TensorBeat) /slideshow/creating-answerbot-with-keras-and-tensorflow-tensorbeat/75755006 answerbotfinal-170507175037
With the recent advances into neural networks capabilities to process text and audio data we are very close creating a natural human assistant. TensorFlow from Google is one of the most popular neural network library, and using Keras you can simplify TensorFlow usage. TensorFlow brings amazing capabilities into natural language processing (NLP) and using deep learning, we are expecting bots to become even more smarter, closer to human experience. In this technical discussion, we will explore NLP methods in TensorFlow with Keras to create answer bot, ready to answers specific technical questions. You will learn how to use TensorFlow to train an answer bot, with specific technical questions and use various AWS services to deploy answer bot in cloud.]]>
With the recent advances into neural networks capabilities to process text and audio data we are very close creating a natural human assistant. TensorFlow from Google is one of the most popular neural network library, and using Keras you can simplify TensorFlow usage. TensorFlow brings amazing capabilities into natural language processing (NLP) and using deep learning, we are expecting bots to become even more smarter, closer to human experience. In this technical discussion, we will explore NLP methods in TensorFlow with Keras to create answer bot, ready to answers specific technical questions. You will learn how to use TensorFlow to train an answer bot, with specific technical questions and use various AWS services to deploy answer bot in cloud.]]> Sun, 07 May 2017 17:50:37 GMT /slideshow/creating-answerbot-with-keras-and-tensorflow-tensorbeat/75755006 Avkashslide@slideshare.net(Avkashslide) Creating AnswerBot with Keras and TensorFlow (TensorBeat) Avkashslide With the recent advances into neural networks capabilities to process text and audio data we are very close creating a natural human assistant. TensorFlow from Google is one of the most popular neural network library, and using Keras you can simplify TensorFlow usage. TensorFlow brings amazing capabilities into natural language processing (NLP) and using deep learning, we are expecting bots to become even more smarter, closer to human experience. In this technical discussion, we will explore NLP methods in TensorFlow with Keras to create answer bot, ready to answers specific technical questions. You will learn how to use TensorFlow to train an answer bot, with specific technical questions and use various AWS services to deploy answer bot in cloud. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/answerbotfinal-170507175037-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With the recent advances into neural networks capabilities to process text and audio data we are very close creating a natural human assistant. TensorFlow from Google is one of the most popular neural network library, and using Keras you can simplify TensorFlow usage. TensorFlow brings amazing capabilities into natural language processing (NLP) and using deep learning, we are expecting bots to become even more smarter, closer to human experience. In this technical discussion, we will explore NLP methods in TensorFlow with Keras to create answer bot, ready to answers specific technical questions. You will learn how to use TensorFlow to train an answer bot, with specific technical questions and use various AWS services to deploy answer bot in cloud.
Creating AnswerBot with Keras and TensorFlow (TensorBeat) from Avkash Chauhan
]]> 17173 14 https://cdn.slidesharecdn.com/ss_thumbnails/answerbotfinal-170507175037-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data Perspective UI V2 /slideshow/big-data-perspective-ui-v2/74382533 bigdataperspective-ui-v2-170404193030
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. ]]>
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. ]]> Tue, 04 Apr 2017 19:30:30 GMT /slideshow/big-data-perspective-ui-v2/74382533 Avkashslide@slideshare.net(Avkashslide) Big Data Perspective UI V2 Avkashslide Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdataperspective-ui-v2-170404193030-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN &amp; Flink. It is designed to have non-invasive micro service architecture to collect application &amp; system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget &amp; dynamic dashboard engine with interactive graphs using D3/DC &amp; slicing-dicing data management.
Big Data Perspective UI V2 from Avkash Chauhan
]]> 213 2 https://cdn.slidesharecdn.com/ss_thumbnails/bigdataperspective-ui-v2-170404193030-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data Perspective (UI) /slideshow/big-data-perspective-ui/74382324 bigdataperspective-ui-170404192858
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. ]]>
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. ]]> Tue, 04 Apr 2017 19:28:58 GMT /slideshow/big-data-perspective-ui/74382324 Avkashslide@slideshare.net(Avkashslide) Big Data Perspective (UI) Avkashslide Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdataperspective-ui-170404192858-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN &amp; Flink. It is designed to have non-invasive micro service architecture to collect application &amp; system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget &amp; dynamic dashboard engine with interactive graphs using D3/DC &amp; slicing-dicing data management.
Big Data Perspective (UI) from Avkash Chauhan
]]> 313 2 https://cdn.slidesharecdn.com/ss_thumbnails/bigdataperspective-ui-170404192858-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data Perspective (Company Information) /slideshow/big-data-perspective-company-information/74381581 bigdataperspective-info-170404192238
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management.]]>
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management.]]> Tue, 04 Apr 2017 19:22:38 GMT /slideshow/big-data-perspective-company-information/74381581 Avkashslide@slideshare.net(Avkashslide) Big Data Perspective (Company Information) Avkashslide Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdataperspective-info-170404192238-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN &amp; Flink. It is designed to have non-invasive micro service architecture to collect application &amp; system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget &amp; dynamic dashboard engine with interactive graphs using D3/DC &amp; slicing-dicing data management.
Big Data Perspective (Company Information) from Avkash Chauhan
]]> 222 2 https://cdn.slidesharecdn.com/ss_thumbnails/bigdataperspective-info-170404192238-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Applied Machine learning using H2O, python and R Workshop /Avkashslide/applied-machine-learning-using-h2o-python-and-r-workshop h2o-workshop-170227171429
Note: Get all workshop content at - https://github.com/h2oai/h2o-meetups/tree/master/2017_02_22_Seattle_STC_Meetup Basic knowledge of R/python and general ML concepts Note: This is bring-your-own-laptop workshop. Make sure you bring your laptop in order to be able to participate in the workshop Level: 200 Time: 2 Hours Agenda: - Introduction to ML, H2O and Sparkling Water - Refresher of data manipulation in R & Python - Supervised learning ---- Understanding liner regression model with an example ---- Understanding binomial classification with an example ---- Understanding multinomial classification with an example - Unsupervised learning ---- Understanding k-means clustering with an example - Using machine learning models in production - Sparkling Water Introduction & Demo]]>
Note: Get all workshop content at - https://github.com/h2oai/h2o-meetups/tree/master/2017_02_22_Seattle_STC_Meetup Basic knowledge of R/python and general ML concepts Note: This is bring-your-own-laptop workshop. Make sure you bring your laptop in order to be able to participate in the workshop Level: 200 Time: 2 Hours Agenda: - Introduction to ML, H2O and Sparkling Water - Refresher of data manipulation in R & Python - Supervised learning ---- Understanding liner regression model with an example ---- Understanding binomial classification with an example ---- Understanding multinomial classification with an example - Unsupervised learning ---- Understanding k-means clustering with an example - Using machine learning models in production - Sparkling Water Introduction & Demo]]> Mon, 27 Feb 2017 17:14:29 GMT /Avkashslide/applied-machine-learning-using-h2o-python-and-r-workshop Avkashslide@slideshare.net(Avkashslide) Applied Machine learning using H2O, python and R Workshop Avkashslide Note: Get all workshop content at - https://github.com/h2oai/h2o-meetups/tree/master/2017_02_22_Seattle_STC_Meetup Basic knowledge of R/python and general ML concepts Note: This is bring-your-own-laptop workshop. Make sure you bring your laptop in order to be able to participate in the workshop Level: 200 Time: 2 Hours Agenda: - Introduction to ML, H2O and Sparkling Water - Refresher of data manipulation in R & Python - Supervised learning ---- Understanding liner regression model with an example ---- Understanding binomial classification with an example ---- Understanding multinomial classification with an example - Unsupervised learning ---- Understanding k-means clustering with an example - Using machine learning models in production - Sparkling Water Introduction & Demo <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/h2o-workshop-170227171429-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Note: Get all workshop content at - https://github.com/h2oai/h2o-meetups/tree/master/2017_02_22_Seattle_STC_Meetup Basic knowledge of R/python and general ML concepts Note: This is bring-your-own-laptop workshop. Make sure you bring your laptop in order to be able to participate in the workshop Level: 200 Time: 2 Hours Agenda: - Introduction to ML, H2O and Sparkling Water - Refresher of data manipulation in R &amp; Python - Supervised learning ---- Understanding liner regression model with an example ---- Understanding binomial classification with an example ---- Understanding multinomial classification with an example - Unsupervised learning ---- Understanding k-means clustering with an example - Using machine learning models in production - Sparkling Water Introduction &amp; Demo
Applied Machine learning using H2O, python and R Workshop from Avkash Chauhan
]]> 1809 6 https://cdn.slidesharecdn.com/ss_thumbnails/h2o-workshop-170227171429-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics /Avkashslide/data-360-conference-introduction-to-big-data-hadoop-and-big-data-analytics mqchwujjtvaxmngc58mh-signature-66a1a3421be171109d3f53edd367ec3ea9dc49c1fabe0eca0c68c3e174f2f981-poli-141023140143-conversion-gate01
Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics]]>
Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics]]> Thu, 23 Oct 2014 14:01:43 GMT /Avkashslide/data-360-conference-introduction-to-big-data-hadoop-and-big-data-analytics Avkashslide@slideshare.net(Avkashslide) Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics Avkashslide Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mqchwujjtvaxmngc58mh-signature-66a1a3421be171109d3f53edd367ec3ea9dc49c1fabe0eca0c68c3e174f2f981-poli-141023140143-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics
Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics from Avkash Chauhan
]]> 3312 2 https://cdn.slidesharecdn.com/ss_thumbnails/mqchwujjtvaxmngc58mh-signature-66a1a3421be171109d3f53edd367ec3ea9dc49c1fabe0eca0c68c3e174f2f981-poli-141023140143-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Big Data Analytics on Apache Hadoop /slideshow/big-data-sep22/39386302 z9xhje8qrbmngiko6opa-signature-5a56ee01401512c66c964d791afcdb4bf82752b7943b0879efda7f870e9c5bc6-poli-140922123627-phpapp01
In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights.]]>
In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights.]]> Mon, 22 Sep 2014 12:36:27 GMT /slideshow/big-data-sep22/39386302 Avkashslide@slideshare.net(Avkashslide) Introduction to Big Data Analytics on Apache Hadoop Avkashslide In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/z9xhje8qrbmngiko6opa-signature-5a56ee01401512c66c964d791afcdb4bf82752b7943b0879efda7f870e9c5bc6-poli-140922123627-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights.
Introduction to Big Data Analytics on Apache Hadoop from Avkash Chauhan
]]> 1745 2 https://cdn.slidesharecdn.com/ss_thumbnails/z9xhje8qrbmngiko6opa-signature-5a56ee01401512c66c964d791afcdb4bf82752b7943b0879efda7f870e9c5bc6-poli-140922123627-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The concept of Datalake with Hadoop /slideshow/hadoop-datalake/33092251 hadoop-datalake-140403115051-phpapp01
How to build Data Lake using Hadoop and data processing in Hadoop ]]>
How to build Data Lake using Hadoop and data processing in Hadoop ]]> Thu, 03 Apr 2014 11:50:51 GMT /slideshow/hadoop-datalake/33092251 Avkashslide@slideshare.net(Avkashslide) The concept of Datalake with Hadoop Avkashslide How to build Data Lake using Hadoop and data processing in Hadoop <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-datalake-140403115051-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How to build Data Lake using Hadoop and data processing in Hadoop
The concept of Datalake with Hadoop from Avkash Chauhan
]]> 1220 3 https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-datalake-140403115051-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Developing Hadoop strategy for your Enterprise /slideshow/hadoop-strategy/33092242 hadoop-strategy-140403115039-phpapp01
Step by step discussion on creating Big Data or Hadoop strategy for any enterprise ]]>
Step by step discussion on creating Big Data or Hadoop strategy for any enterprise ]]> Thu, 03 Apr 2014 11:50:39 GMT /slideshow/hadoop-strategy/33092242 Avkashslide@slideshare.net(Avkashslide) Developing Hadoop strategy for your Enterprise Avkashslide Step by step discussion on creating Big Data or Hadoop strategy for any enterprise <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-strategy-140403115039-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Step by step discussion on creating Big Data or Hadoop strategy for any enterprise
Developing Hadoop strategy for your Enterprise from Avkash Chauhan
]]> 1155 3 https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-strategy-140403115039-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Hadoop at Data-360 Conference /slideshow/introduction-to-hadoop-at-data360-conference/33092241 hadoop-intro-140403115037-phpapp01
A short introduction to Hadoop mostly with live industry examples and scenarios. ]]>
A short introduction to Hadoop mostly with live industry examples and scenarios. ]]> Thu, 03 Apr 2014 11:50:37 GMT /slideshow/introduction-to-hadoop-at-data360-conference/33092241 Avkashslide@slideshare.net(Avkashslide) Introduction to Hadoop at Data-360 Conference Avkashslide A short introduction to Hadoop mostly with live industry examples and scenarios. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-intro-140403115037-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A short introduction to Hadoop mostly with live industry examples and scenarios.
Introduction to Hadoop at Data-360 Conference from Avkash Chauhan
]]> 947 3 https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-intro-140403115037-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Apache Hive /slideshow/introduction-to-apache-hive-18003322/18003322 hive-130401121402-phpapp01
In this introduction to Apache Hive the following topics are covered: 1. Hive Origin 2. Hive philosophy and architecture 3. Hive vs. RDBMS 4. HiveQL and Hive Shell 5. Managing tables 6. Data types and schemas 7. Querying data 8. HiveODBC 9. Resources ]]>
In this introduction to Apache Hive the following topics are covered: 1. Hive Origin 2. Hive philosophy and architecture 3. Hive vs. RDBMS 4. HiveQL and Hive Shell 5. Managing tables 6. Data types and schemas 7. Querying data 8. HiveODBC 9. Resources ]]> Mon, 01 Apr 2013 12:14:02 GMT /slideshow/introduction-to-apache-hive-18003322/18003322 Avkashslide@slideshare.net(Avkashslide) Introduction to Apache Hive Avkashslide In this introduction to Apache Hive the following topics are covered: 1. Hive Origin 2. Hive philosophy and architecture 3. Hive vs. RDBMS 4. HiveQL and Hive Shell 5. Managing tables 6. Data types and schemas 7. Querying data 8. HiveODBC 9. Resources <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hive-130401121402-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this introduction to Apache Hive the following topics are covered: 1. Hive Origin 2. Hive philosophy and architecture 3. Hive vs. RDBMS 4. HiveQL and Hive Shell 5. Managing tables 6. Data types and schemas 7. Querying data 8. HiveODBC 9. Resources
Introduction to Apache Hive from Avkash Chauhan
]]> 13263 9 https://cdn.slidesharecdn.com/ss_thumbnails/hive-130401121402-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Apache Sqoop /slideshow/introduction-to-apache-sqoop/18003062 sqoop-130401120655-phpapp02
In this Introduction to Apache Sqoop the following topics are covered: 1. Why Sqoop 2. What is Sqoop 3. How Sqoop Works 4. Importing and Exporting Data using Sqoop 5. Data Import in Hive and HBase with Sqoop 6. Sqoop and NoSql data store i.e. MongoDB 7. Resources ]]>
In this Introduction to Apache Sqoop the following topics are covered: 1. Why Sqoop 2. What is Sqoop 3. How Sqoop Works 4. Importing and Exporting Data using Sqoop 5. Data Import in Hive and HBase with Sqoop 6. Sqoop and NoSql data store i.e. MongoDB 7. Resources ]]> Mon, 01 Apr 2013 12:06:55 GMT /slideshow/introduction-to-apache-sqoop/18003062 Avkashslide@slideshare.net(Avkashslide) Introduction to Apache Sqoop Avkashslide In this Introduction to Apache Sqoop the following topics are covered: 1. Why Sqoop 2. What is Sqoop 3. How Sqoop Works 4. Importing and Exporting Data using Sqoop 5. Data Import in Hive and HBase with Sqoop 6. Sqoop and NoSql data store i.e. MongoDB 7. Resources <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sqoop-130401120655-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this Introduction to Apache Sqoop the following topics are covered: 1. Why Sqoop 2. What is Sqoop 3. How Sqoop Works 4. Importing and Exporting Data using Sqoop 5. Data Import in Hive and HBase with Sqoop 6. Sqoop and NoSql data store i.e. MongoDB 7. Resources
Introduction to Apache Sqoop from Avkash Chauhan
]]> 14182 6 https://cdn.slidesharecdn.com/ss_thumbnails/sqoop-130401120655-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Apache Pig /slideshow/introduction-to-apache-pig-18002897/18002897 pig-130401120131-phpapp01
This Introduction to Apache Pig covers: 1. Pig philosophy and architecture 2. Pig Latin and the Grunt shell 3. Loading data 4. Data types and schemas 5. Pig Latin details: structure, functions, expressions, relational operators 6. User Defined Functions 7. Resources ]]>
This Introduction to Apache Pig covers: 1. Pig philosophy and architecture 2. Pig Latin and the Grunt shell 3. Loading data 4. Data types and schemas 5. Pig Latin details: structure, functions, expressions, relational operators 6. User Defined Functions 7. Resources ]]> Mon, 01 Apr 2013 12:01:31 GMT /slideshow/introduction-to-apache-pig-18002897/18002897 Avkashslide@slideshare.net(Avkashslide) Introduction to Apache Pig Avkashslide This Introduction to Apache Pig covers: 1. Pig philosophy and architecture 2. Pig Latin and the Grunt shell 3. Loading data 4. Data types and schemas 5. Pig Latin details: structure, functions, expressions, relational operators 6. User Defined Functions 7. Resources <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pig-130401120131-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This Introduction to Apache Pig covers: 1. Pig philosophy and architecture 2. Pig Latin and the Grunt shell 3. Loading data 4. Data types and schemas 5. Pig Latin details: structure, functions, expressions, relational operators 6. User Defined Functions 7. Resources
Introduction to Apache Pig from Avkash Chauhan
]]> 1768 3 https://cdn.slidesharecdn.com/ss_thumbnails/pig-130401120131-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to HBase /slideshow/introduction-to-hbase-18002701/18002701 hbase-130401115717-phpapp01
This presentation covers the following topics: 1. HBase versions and origins 2. HBase core concepts 3. HBase vs. RDBMS 4. Data Modeling 5. HBase architecture 6. HBase Master and Region Servers 7. Column Families and Regions 8. HBase Internals: Bloom Filters and Block Indexes 9. Write Pipeline / Read Pipeline 10. Compactions 11. Learning Resources]]>
This presentation covers the following topics: 1. HBase versions and origins 2. HBase core concepts 3. HBase vs. RDBMS 4. Data Modeling 5. HBase architecture 6. HBase Master and Region Servers 7. Column Families and Regions 8. HBase Internals: Bloom Filters and Block Indexes 9. Write Pipeline / Read Pipeline 10. Compactions 11. Learning Resources]]> Mon, 01 Apr 2013 11:57:17 GMT /slideshow/introduction-to-hbase-18002701/18002701 Avkashslide@slideshare.net(Avkashslide) Introduction to HBase Avkashslide This presentation covers the following topics: 1. HBase versions and origins 2. HBase core concepts 3. HBase vs. RDBMS 4. Data Modeling 5. HBase architecture 6. HBase Master and Region Servers 7. Column Families and Regions 8. HBase Internals: Bloom Filters and Block Indexes 9. Write Pipeline / Read Pipeline 10. Compactions 11. Learning Resources <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hbase-130401115717-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation covers the following topics: 1. HBase versions and origins 2. HBase core concepts 3. HBase vs. RDBMS 4. Data Modeling 5. HBase architecture 6. HBase Master and Region Servers 7. Column Families and Regions 8. HBase Internals: Bloom Filters and Block Indexes 9. Write Pipeline / Read Pipeline 10. Compactions 11. Learning Resources
Introduction to HBase from Avkash Chauhan
]]> 4149 5 https://cdn.slidesharecdn.com/ss_thumbnails/hbase-130401115717-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-Avkashslide-48x48.jpg?cb=1611095362 AI & ML aichamp.wordpress.com/ https://cdn.slidesharecdn.com/ss_thumbnails/ai-with-macnica-final-180413172707-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-solutions-with-macnicaai-ai-expo-2018-tokyo-japan/93819401 AI Solutions with Macn... https://cdn.slidesharecdn.com/ss_thumbnails/airevolutioninvalleyai-with-macnica-final-180413165729-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-expo-ai-revolution-in-silicon-valley/93816056 AI Expo - AI Revolutio... https://cdn.slidesharecdn.com/ss_thumbnails/macnica-ai-xtech-news-coverage-180413165357-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/nikkei-xtech-coverage-on-macnicaai-announcement/93815665 Nikkei xTech coverage ...