ScaleOut Pushes Hadoop Towards Low-Latency for Real-Time Analytics
OK, so the headline is a tad extreme, but bear with me. Recent developments combining in-memory technologies and Hadoop/MapReduce from ScaleOut Software point to a future where big data analytics and real-time processing, as it's defined in the financial markets, ...
3 Ways to Move SQL into Hadoop Faster
Despite the increasing interest in unstructured data, much of the world's information still lives in some form of relational database. Firing up your first Hadoop cluster often means moving data from existing SQL tables, maybe hosted in SQL Server, MySQL ...
7 Tips for Improving MapReduce Performance
One service that Cloudera provides for our customers is help with tuning and optimizing MapReduce jobs. Since MapReduce and HDFS are complex distributed systems that run arbitrary user code, there’s no hard and fast set of rules to achieve optimal ...
First Hadoop Search Engine Launched By Cloudera
Real-time search for open source projects using Hadoop and Apache HBase. Cloudera has announced the general availability of Cloudera Search and an accompanying add-on RTS (Real-time Search) subscription. This product represents the first fully integrated search engine for interactive exploration ...
Revolution Analytics brings in-Hadoop R to Cloudera CDH
Revolution Analytics, the corporate benefactor-in-chief of the R programming language, is now supporting the integration of R inside Cloudera's Distribution Including Apache Hadoop (CDH), versions 3.0 and 4.0.
Specifically, the upcoming version 7.0 of the Revolution R Enterpise distribution and its ...