Understanding Batch vs. Streaming Data Processing As Enterprises Go Real Time | Inside HPC & AI News
In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. Rob is a repeat entrepreneur focused on enterprise infrastructure as software.
Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...
StarTree Inc., the developer of a managed service based on the Apache Pinot real-time data analytics platform, today rolled out a set of enhancements aimed at helping organizations more efficiently ...
The real-time streaming enabled by Apache Spark 2.0, the newest version of the popular engine for Big Data processing, may be the best thing to happen to data so far this year. It’s difficult to think ...
Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...
For businesses and their customers, the answers to most questions rely on data that is locked away in enterprise systems. Here’s how to deliver that data to GPT model prompts in real time. By this ...
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