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Handling Out-of-Order Data in Real-Time Analytics Applications

Rockset

These real- and near-real-time use cases dramatically narrow the time windows for both data freshness and query speeds while amping up the risk for data errors. This ensures that queries access the latest, correct version of data. It also prevents data bloat that would hamper storage efficiency and query speeds.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.