Book

Simplifying Data Engineering and Analytics with Delta

This book is a practical guide for creating and executing data and ML pipelines using the open protocol Delta. Simplifying Data Engineering and Analytics with Delta focuses on helping you make the right architecture choices and providing a hands-on approach to implementation and associated methodologies that will have you up and running in no time.

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Difficulty Level

Intermediate

Completion Time

11h8m

Language

English

About Book

Who Is This Book For?

Data engineers, data scientists, ML practitioners, BI analysts, or anyone in the data domain working with big data will be able to put their knowledge to work with this practical guide to executing pipelines and supporting diverse use cases using the Delta protocol. Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book.

Book content

chapters 11h8m total length

An Introduction to Data Engineering

Data Modeling and ETL

Delta – The Foundation Block for Big Data

Unifying Batch and Streaming with Delta

Data Consolidation in Delta Lake 

Solving Common Data Pattern Scenarios with Delta

Delta for Data Warehouse Use Cases

Handling Atypical Data Scenarios with Delta

Delta for Reproducible Machine Learning Pipelines

Delta for Data Products and Services

Operationalizing Data and ML Pipelines

Optimizing Cost and Performance with Delta

Managing Your Data Journey

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