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Delta Lake with Apache Spark using Scala

 Delta Lake with Apache Spark using Scala
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 Delta Lake with Apache Spark using Scala
You will Learn Delta Lake with Apache Spark using Scala on DataBricks Platform. Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing.
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by Bigdata Engineer

What you'll learn
  • Learn Delta Lake with Apache Spark in few hours
  • Basics about Delta Lake
  • Hands on practice with Delta Lake
 Description

You will Learn Delta Lake with Apache Spark using Scala on DataBricks Platform

Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Delta Lake runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

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