8 Steps for a Developer to Learn Apache Spark with Delta Lake

For data engineers, building fast, reliable pipelines is only the beginning. Today, you also need to deliver clean, high quality data ready for downstream users to do BI and ML.

Apache Spark™ and Delta Lake deliver fast, reliable data to your data teams for all your data engineering, data science, machine learning, and business analytics use cases. And these projects are open source and use open formats, so you can easily access your data using your tools of choice.

	Why Apache Spark and Delta Lake
	Apache Spark and Delta Lake concepts, key terms and keywords
	Advanced Apache Spark internals and core
	DataFrames, Datasets and Spark SQL essentials
	Graph processing with GraphFrames
	Continuous applications with structured streaming
	Machine learning for humans
	Data reliability challenges for data lakes
	Delta Lake for ACID transactions, schema enforcement and more
	Unifying batch and streaming data pipelines