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What is Batch and Real Time Streaming Data Process in DataEngineering
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Databricks and PySpark | Full Course | - What is Batch and Real Time Streaming Data Process in DataEngineering

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What you'll learn

This course includes

  • 35.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course link: https://www.geekcoders.co.in/courses/Databricks-Certified-Data-Engineer-Zero-to-Hero-65eea8c0940e6c57bba246f7 Hello Geeks, This is the introduction video of what is batch and real time streaming data processing. When to use Batch Processing? 1. When you want to process large amounts of data. 2. Usually in a scheduled or ad-hoc manner 3. Latency could be minutes, hours or days 4. Batch processing is a bit lengthy and is not suitable for data that is time-sensitive 5. Because batch jobs run occasionally, it is a cost saving option When to use streaming? 1. When you want to process small amount of data in real-time. 2. Data is streaming continuously. 3. Latency must be roughly 1 minute or less. #data #dataengineer #coding #spark #hastag #llm #datascience #dataengineer #dataanalysis #sql

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