Apache Spark is now part of MapR’s Hadoop distribution

Hadoop vendor MapR is getting in early on the Apache Spark action, too, announcing on Thursday that it’s adding the Spark stack to its Hadoop distribution as part of a partnership with Spark startup Databricks (Ion Stoica, the co-founder and CEO of ...

Using Scala To Work With Hadoop

Cloudera has a great toolkit to work with Hadoop.  Specifically it is focused on building distributed systems and services on top of the Hadoop Ecosystem. http://cloudera.github.io/cdk/docs/0.2.0/cdk-data/guide.html And the examples are in Scala!!!! Here is how you you work with generic stuff on the ...

Selecting the right SQL-on-Hadoop engine to access big data

With SQL-on-Hadoop technologies, it's possible to access big data stored in Hadoop by using the familiar SQL language. Users can plug in almost any reporting or analytical tool to analyze and study the data. Before SQL-on-Hadoop, accessing big data was ...

Apache Mahout is moving on from MapReduce

Apache Mahout, a machine learning library for Hadoop since 2009, is joining the exodus away from MapReduce. The project’s community has decided to rework Mahout to support the increasingly popular Apache Spark in-memory data-processing framework, as well as the H2O engine for ...

How-to Implement Role-based Security in Impala using Apache Sentry

Apache Sentry (incubating) is the Apache Hadoop ecosystem tool for role-based access control (RBAC). In this how-to, I will demonstrate how to implement Sentry for RBAC in Impala. I feel this introduction is best motivated by a use case. Data warehouse ...
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