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 ...
Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...
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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 ...
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Transforming Viewership Data: Batch Pipeline Delivers Key Metrics for Enhanced User Experience
In the industry of streaming services, the ability to process and analyze massive volumes of viewership data has become a key ...
Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...
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