Tag Archives: cassandra

YCSB, the Open Standard for NoSQL Benchmarking, Joins Cloudera Labs

Categories: Cloudera Labs HBase Performance

YCSB, the open standard for comparative performance evaluation of data stores, is now available to CDH users for their Apache HBase deployments via new packages from Cloudera Labs.

Many factors go into deciding which data store should be used for production applications, including basic features, data model, and the performance characteristics for a given type of workload. It’s critical to have the ability to compare multiple data stores intelligently and objectively so that you can make sound architectural decisions.

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Tuning Java Garbage Collection for HBase

Categories: Guest HBase Performance

This guest post from Intel Java performance architect Eric Kaczmarek (originally published here) explores how to tune Java garbage collection (GC) for Apache HBase focusing on 100% YCSB reads.

Apache HBase is an Apache open source project offering NoSQL data storage. Often used together with HDFS, HBase is widely used across the world. Well-known users include Facebook, Twitter, Yahoo, and more. From the developer’s perspective, HBase is a “distributed,

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NoSQL in a Hadoop World

Categories: Hadoop HBase Impala

The number of powerful data query tools in the Apache Hadoop ecosystem can be confusing, but understanding a few simple things about your needs usually makes the choice easy. 

Ah, the good old days. I recall vividly that in 2007, I was faced to store 1 billion XML documents and make them accessible as well as searchable. I had few choices on a given shoestring budget: build something one my own (it was the rage back then—and still is),

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How Impala Brings Real-Time, Big Data Analytics to Digital Reasoning’s Users

Categories: Guest Hive Impala Use Case

The following post, by Sarah Cannon of Digital Reasoning, was originally published in that company’s blog. Digital Reasoning has graciously permitted us to re-publish here for your convenience.

At the beginning of each release cycle, engineers at Digital Reasoning are given time to explore the latest in Big Data technologies, examining how the frequently changing landscape might be best adapted to serve our mission. As we sat down in the early stages of planning for Synthesys 3.8 one of the biggest issues we faced involved reconciling the tradeoff between flexibility and performance.

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Integrating Apache Hive and Apache HBase

Categories: Guest HBase Hive

This post was contributed by John Sichi, a committer on the Apache Hive project and a member of the Data Infrastructure team at Facebook.

As many readers may already know, Hive was initially developed at Facebook for dealing with explosive growth in our multi-petabyte data warehouse.  Since its release as an Apache project, it has been put into use at a number of other companies for solving big data problems.   Read more