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Posts Tagged
‘mapreduce’

We share our knowledge happily

Homemapreduce

We share our slides about Apache Tez delivered by our consultant as a lightening talk given at Warsaw Hadoop User Group. Tez is a highly efficient and scaleable execution engine that can be easily leveraged by existing tools like Hive, Pig or Cascading to run the computation faster. In this talk, we describe Tez and […]

We are happy to share slides about HCatalog that come from Data Analyst Training delivered by GetInData. HCatalog allows users with different data processing tools (such as Apache Hive, Apache Pig, MapReduce) to share data on the Hadoop cluster in an easier way. The slides cover HCatalog’s primary motivation, goals, the most important features, currently […]

We are happy to say that our Refcardz, titled Getting Started with Apache Hadoop, has been already published by DZone. This Refcard presents Apache Hadoop, a software framework that enables distributed storage and processing of large datasets using simple high-level programming models. The card covers the most important concepts of Hadoop, describes its architecture, and […]

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