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 ...

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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 ...

MENLO PARK, CA, UNITED STATES, April 8, 2025 /EINPresswire.com/ -- DeltaStream, Inc. , a leader in serverless stream processing, today introduces the DeltaStream ...

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, ...

Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

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 ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...