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 ...

A data lake is a central location in which businesses can store their data in a variety of structures and at different scales ...

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Estuary, the right-time data platform solving the AI data bottleneck for enterprises, announced today it has raised $17 million in Series A funding. The round was led by M13, with participation from ...

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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 ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...