July 2022
Beginner to intermediate
334 pages
7h 33m
English
Overview
This book will guide you through mastering Delta, a robust and versatile protocol for data engineering and analytics. You'll discover how Delta simplifies data workflows, supports both batch and streaming data, and is optimized for analytics applications in various industries. By the end, you will know how to create high-performing, analytics-ready data pipelines.
What this Book will help me do
- Understand Delta's unique offering for unifying batch and streaming data processing.
- Learn approaches to address data governance, reliability, and scalability challenges.
- Gain technical expertise in building data pipelines optimized for analytics and machine learning use.
- Master core concepts like data modeling, distributed computing, and Delta's schema evolution features.
- Develop and deploy production-grade data engineering solutions leveraging Delta for business intelligence.
Author(s)
Anindita Mahapatra is an experienced data engineer and author with years of expertise in working on Delta and data-driven solutions. Her hands-on approach to explaining complex data concepts makes this book an invaluable resource for professionals in data engineering and analytics.
Who is it for?
Ideal for data engineers, data analysts, and anyone involved in AI/BI workflows, this book suits learners with some basic knowledge of SQL and Python. Whether you're an experienced professional or looking to upgrade your skills with Delta, this book will provide practical insights and actionable knowledge.
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