June 19, 2016 by Charlie
Edu-Video | “Spark Summit and Spark ‘s Future” | June 2016

Video (33:41) with Databricks co-founder and CTO Matei Zaharia presenting the changes in Apache Spark 2.0 and the general availability (GA) of Databricks Community Edition at Spark Summit 2016. Afterwards, Michael Armbrust demos some new features found in Spark 2.0 on Databricks Community EditionGo To Video

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June 9, 2016 by Charlie
Edu-Video | Apache Flink: What, How, Why, Who, Where? | By Slim Baltagi | 2016

(Re-post) Got a need for speed processing Big Data? In this video talk given at the Apache Flink Meetup in NYC, Slim Baltagi goes over everything you need to know right now about Flink. If you utilize big data analytics, then this is a must watch video!! Enjoy Learn More

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May 25, 2016 by Ted O'Brien
Edu-Videos | Learn All About Apache Spark (100x Faster than Hadoop MapReduce)

Apache Spark’s popularity as part of big data analytics solutions is exploding. Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!

Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Spark Videos…

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May 4, 2016 by Charlie
VIDEO | “Demystifying Big Data and Apache Spark” | SF Bay Area Hadoop Meetup

VIDEO | Mohammed Guller, Principal Architect at Glassbeam introductory talk for those who want to get into Big Data and learn about Spark, but don’t know where to start.

Spark is a fast easy-to-use general-purpose cluster computing framework for processing large datasets. It has become the most active open-source big data project. Read More

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April 28, 2016 by Ted O'Brien
BrightTalk Video | “Demystifying Data Modeling” | by Sisence

The challenge of data modeling is to understand how to work with complex data in order to standardize, structure and optimize data to gets accurate insights quickly. Watch this video by Product Manager, Evan Castle of Sisence, to learn everything you need to know about data modeling. Watch Video

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Blog Publisher / Head of Data Science Search

Founder & Head of Data Science Search at Starbridge Partners, LLC.