In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a ...

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 ...

Artificial intelligence is often celebrated for its brilliance—the way it can analyze vast amounts of information, identify patterns, and even generate content that feels almost human. But as the pace ...

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The question is no longer whether to invest in integration—but how fast to move, who owns it and which model creates the most ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

To improve data quality, cost, and access to information, streaming should be a central component of all data infrastructure, regardless of “real-time” adoption. When defining their data strategy, ...

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...