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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.


Lightning Fast Cluster Computing with Spark and Cassandra

Posted by Piotr Kołaczkowski  on  Jun 17, 2015

Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.


Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets

Posted by Eugene Mandel  on  Mar 12, 2015

Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.


Building a Recommendation Engine with Spring and Hadoop

Posted by Michael Minella  on  Mar 08, 2015

Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.


Apps + Data + Cloud: What Does It All Mean?

Posted by Matt Stine  on  Mar 08, 2015

Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.


Introduction to Spring for Apache Hadoop

Posted by Thomas Risberg  on  Jan 10, 2015 1

Thomas Risberg introduces the Spring for Apache Hadoop project and discusses integration with Spring XD, batch jobs and external data sources.


A Distributed Transactional Database on Hadoop

Posted by John Leach  on  Jan 02, 2015

John Leach explains using HBase co-processors to support a full ANSI SQL RDBMS without modifying the core HBase source, showing how Hadoop/HBase can replace traditional RDBMS solutions.


Hadoop 201 -- Deeper into the Elephant

Posted by Roman Shaposhnik  on  Dec 28, 2014

Roman Shaposhnik discusses more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible.


Why Would You Integrate Solr and Hadoop?

Posted by Yann Yu  on  Dec 28, 2014

Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.


The Big Data Imperative: Discovering & Protecting Sensitive Data in Hadoop

Posted by Jeremy Stieglitz  on  Dec 21, 2014

Jeremy Stieglitz discusses best practices for a data-centric security , compliance and data governance approach, with a particular focus on two customer use cases.


Why Spark Is the Next Top (Compute) Model

Posted by Dean Wampler  on  Dec 15, 2014

Dean Wampler argues that Spark/Scala is a better data processing engine than MapReduce/Java because tools inspired by mathematics, such as FP, are ideal tools for working with data.


Customer Analytics on Hadoop

Posted by Bob Kelly  on  Dec 07, 2014

Bob Kelly presents case studies on how Platfora uses Hadoop to do analytics for several of their customers.

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