Developers can use Apache Hive and Hadoop for data analytics on large web logs, analyzing users' browsing patterns and behavior.
Mod_cluster and a dynamic Tomcat cluster can help ensure that your Web applications utilize resources efficiently.
Developers who use Hadoop for big data processing have some productive options for data serialization, data compression and class formatting.
Using LZO compression and a protocol buffer can improve the speed and scalability of your large dataset processing.
Find out how to bring a protocol buffer -- the simplest and most efficient way to manage structured data -- into your Java object management.
The ability to share hardware, software, application development, and maintenance results in cost savings.