PODCAST · technology
All Things Hadoop
by Joe Stein
Hadoop MapReduce is a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes.
Episodes
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Resource scheduling and task launching with Apache Mesos and Apache Aurora at Twitter
Resource scheduling and task launching with Apache Mesos and Apache Aurora at Twitter
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Apache Solr real-time live index updates at scale with Apache Hadoop a talk with Patrick Hunt
Apache Solr real-time live index updates at scale with Apache Hadoop
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Higher Availability, Increased Scale and Enhanced Security on Apache HBase a talk with Michael Stack, Lars Hofhansl and Andrew Purtell
Higher Availability, Increased Scale and Enhanced Security on Apache HBase a talk with Michael Stack, Lars Hofhansl and Andrew Purtell
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Beyond MapReduce and Apache Hadoop 2.X with Bikas Saha and Arun Murthy
Beyond MapReduce and Apache Hadoop 2.X with Bikas Saha and Arun Murthy
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Big Data with Apache Accumulo preserving Security with Open Source
Big Data with Apache Accumulo preserving Security with Open Source
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Using Apache Drill for Large Scale, Interactive, Real-Time Analytic Queries
Using Apache Drill for Large Scale, Interactive, Real-Time Analytic Queries
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Real-Time Data Pipelines and Analytics with Apache Kafka and Apache Samza
Real-Time Data Pipelines and Analytics with Apache Kafka and Apache Samza
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Big Data, Open Source and Analytics with Stefan Groschupf
Big Data, Open Source and Analytics with Stefan Groschupf
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SQL compatibility in Hadoop with Hive and more with Alan Gates
SQL compatibility in Hadoop with Hive and more with Alan Gates
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Apache Zookeeper, Distributed Systems, Open Source and more with Camille Fournier
Apache Zookeeper, Distributed Systems, Open Source and more with Camille Fournier
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Apache BigTop and how packaging infrastructure binds the Hadoop ecosystem together
Apache BigTop and how packaging infrastructure binds the Hadoop ecosystem together
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Hadoop as a Service cloud platform with the Mortar Framework and Pig
Hadoop as a Service cloud platform with the Mortar Framework and Pig
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Hadoop, The Cloudera Development Kit, Parquet, Apache BigTop and more with Tom White
Hadoop, The Cloudera Development Kit, Parquet, Apache BigTop and more with Tom White
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Hadoop, Mesos, Cascading, Scalding, Cascalog and Data Science with Paco Nathan
Hadoop, Mesos, Cascading, Scalding, Cascalog and Data Science with Paco Nathan
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Impala and SQL on Hadoop
Impala and SQL on Hadoop
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Hortonworks HDP1, Apache Hadoop 2.0, NextGen MapReduce (YARN), HDFS Federation and the future of Hadoop with Arun C. Murthy
Hortonworks HDP1, Apache Hadoop 2.0, NextGen MapReduce (YARN), HDFS Federation and the future of Hadoop with Arun C. Murthy
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Unified analytics and large scale machine learning with Milind Bhandarkar
Unified analytics and large scale machine learning with Milind Bhandarkar
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NoSQL HBase and Hadoop with Todd Lipcon from Cloudera
NoSQL HBase and Hadoop with Todd Lipcon from Cloudera
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Hadoop Development Tools with Shevek from Karmasphere
Hadoop Development Tools with Shevek from Karmasphere
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Hadoop and Pig with Alan Gates from Yahoo
Hadoop and Pig with Alan Gates from Yahoo
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Ruby Streaming with Wukong, Guest Flip Kromer
Ruby Streaming with Wukong, Guest Flip Kromer
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Hadoop, BigData and Cassandra with Jonathan Ellis
Hadoop, BigData and Cassandra with Jonathan Ellis
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Tips And Tricks To Your First Cluster
Tips And Tricks to setting up your first Hadoop cluster and running your first map reduce jobs with real data.
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ABOUT THIS SHOW
Hadoop MapReduce is a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes.
HOSTED BY
Joe Stein
CATEGORIES
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