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Writing The Book That Offers A Single Reference For The Fundamentals Of Data Engineering

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. What are your goals with this book?

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Apache Spark Use Cases & Applications

Knowledge Hut

It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. Spark SQL features are used heavily in warehouses to build ETL pipelines. A typical use case is building a Data Warehouse for batch processing and daily reporting. Spark SQL: Spark has an amazing SQL support and has an in-built SQL optimizer.

Scala 52
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. You will analyze accidents happening in NYC.