Ebook

Big Book of Data Engineering

Big Book of Data Engineering

Pages 123 Pages

This ebook provides an in-depth guide to modern data engineering practices, focusing on building high-quality, scalable data pipelines. It covers ingestion, transformation, orchestration, governance, and real-time processing. The book addresses challenges such as fragmented tooling, data quality, and operational complexity, and explains how unified platforms simplify data engineering workflows. Through best practices and real-world case studies, it shows how strong data engineering foundations enable analytics, BI, machine learning, and AI initiatives at scale.

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