October 2021
Beginner to intermediate
322 pages
7h 27m
English
Content preview from Essential PySpark for Scalable Data Analytics
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Chapter 14: The Data Lakehouse
Throughout this book, you have encountered two primary data analytics use cases: descriptive analytics, which includes BI and SQL analytics, and advanced analytics, which includes data science and machine learning. You learned how Apache Spark, as a unified data analytics platform, can cater to all these use cases. Apache Spark, being a computational platform, is data storage-agnostic and can work with any traditional storage mechanisms, such as databases and data warehouses, and modern distributed data storage systems, such as data lakes. However, traditional descriptive analytics tools, such as BI tools, are designed around data warehouses and expect data to be presented in a certain way. Modern advanced analytics ...
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