There is data in motion, and then there is really big data in motion. The folks at LinkedIn gave us a compelling example of the latter today when it announced that it’s using the distributed messaging ...

Kafka performance relies on implementing continuous intelligence and real-time analytics. It is important to be able to ingest, check the data, and make timely business decisions. Stream processing ...

Organizations demand real-time analytics in order to make the best decisions for their business. They want data streamed from data sources such as IoT devices, online transactions and log files, which ...

When the big data movement started it was mostly focused on batch processing. Distributed data storage and querying tools like MapReduce, Hive, and Pig were all designed to process data in batches ...