Jan 13 · 5 min read · In the world of streaming databases, speed is usually associated with how fast we can process new events. But anyone managing a production data pipeline knows that handling historical data—creating new Materialized Views (MVs) based on massive existi...
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Jan 9 · 4 min read · RisingWave is built as a streaming-first system, designed to react to changes as they happen. However, not all real-world data behaves like a stream. Many external batch data sources—such as snapshot-based tables—do not emit change events at all. Eve...
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Apr 19, 2023 · 5 min read · With the rise of big data in the last decade the industry has adopted the tools to process it. In the past, data was often processed using batch jobs. Later, companies started to move to map/reduce frameworks like Spark. These days, a lot of data is ...
Join discussionJan 16, 2023 · 5 min read · In this article, you can learn the difference between stream processing vs batch processing, and get to know the basic use cases for each. What Is Batch Processing? Batch processing refers to a method of processing high-volume data in batches or grou...
Join discussionJan 14, 2023 · 5 min read · In 2004, Google's three papers([1], [2], [3]) unveiled the era of big data processing. While those systems were designed for large scale batch processing, a few years later streaming processing system received more and more attention. Unlike batch pr...
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