Abstract: The performance of big data workflows depends on both the workflow mapping scheme, which determines task assignment and container allocation in Hadoop, and the on-node scheduling policy, ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The easiest way for a Java developer to learn Java Database ...
This tutorial shows you how to load data files into Apache Druid using a remote Hadoop cluster. For this tutorial, we'll assume that you've already completed the previous batch ingestion tutorial ...
The latest trends and issues around the use of open source software in the enterprise. The best run DevOps teams in the world choose Perforce, that’s the claim from Perforce. The company makes this ...
Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...
Abstract: Big-data processing systems such as Hadoop, which usually utilize distributed file systems (DFSs), require data reduction schemes to maximize storage space efficiency. These schemes have ...
Big on Data bro Andrew Brust's recent post on the spring cleaning of Hadoop projects evidently touched a nerve, given the readership numbers that went off the charts. By now, the Apache Hadoop family ...
Apache Hadoop stores data in the Hadoop Distributed File System (HDFS). The data could be in several supported file formats. Files are broken into lines. A line end is indicated with a carriage return ...