Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...
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IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for enterprise AI infrastructure.
Well-funded data integration vendor SnapLogic Inc. is adding new and updated integration modules for Workday Inc., NetSuite Inc. and Amazon Web Services’ Redshift. In its latest release of its ...
When Confluent launched a cloud service in 2017, it was trying to reduce some of the complexity related to running a Kafka streaming data application. Today, it introduced a free tier to that cloud ...
Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data ...
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 ...
How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries TensorFlow has emerged as one of the leading machine learning ...
Kafka has risen as the de facto standard for event streaming with thousands of enterprises using it, including more than half of the Fortune 100. Although it has widespread adoption, many companies ...
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