Category Archives: General

Introducing Apache Arrow: A Fast, Interoperable In-Memory Columnar Data Structure Standard

Categories: Data Science General HDFS Impala Kudu Performance

Engineers from across the Apache Hadoop community are collaborating to establish Arrow as a de-facto standard for columnar in-memory processing and interchange. Here’s how it works.

Apache Arrow is an in-memory data structure specification for use by engineers building data systems. It has several key benefits:

  • A columnar memory-layout permitting O(1) random access. The layout is highly cache-efficient in analytics workloads and permits SIMD optimizations with modern processors.

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What’s New in Cloudera Director 2.0?

Categories: Cloud General Ops and DevOps

New functionality includes support for spot instances, automatic job submission, and integrated setup for HA and Kerberized clusters.

Cloudera Director is the manifestation of Cloudera’s commitment to provide a simple and reliable way to deploy, scale, and manage Apache Hadoop clusters in the cloud of your choice. Cloudera Director lets you deploy production-ready clusters for big data applications and successfully run workloads in the cloud. With Cloudera Director 2.0,

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Spark Dataflow Joins Google’s Dataflow SDK

Categories: Cloud Cloudera Labs General Spark

Spark Dataflow from Cloudera Labs is now part of Google’s New Dataflow SDK, which will be proposed to the Apache Incubator.

Spark Dataflow is an experimental implementation of Google’s Dataflow programming model that runs on Apache Spark. The initial implementation was written by Josh Wills, and entered Cloudera Labs exactly a year ago. Since then, we’ve seen a number of contributions to the project, culminating in the recent addition of an implementation of streaming (running on Spark Streaming) by Amit Sela from PayPal.

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The Top 10 Cloudera Engineering Blog Posts of 2015

Categories: Community General Hadoop

Which topics interested attracted the most community interest in 2015? Find out below.

It’s our annual custom to bring you a list of this blog’s most popular posts of the year. (See the 2013 and 2014 versions.) Why? Because this list reflects interests across the ecosystem; it’s one of the best passive surveys we have, actually.

As usual, when drawing conclusions, be sure to account for data skew.

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Announcing RecordService Beta 2: Brings Column-level Security to Apache Spark and MapReduce

Categories: General Platform Security & Cybersecurity Sentry Spark

With this new beta release, column-level privileges set via Apache Sentry (incubating) are now enforced on Spark/MapReduce jobs.

Cloudera is excited to announce the availability of the second beta release for RecordService. This release is based on CDH 5.5 and provides some new features, including:

  • Support for Sentry column-level security. Previously, column-level access control required the use of views; now,

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