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Ultimate BigQuery for Data Engineering: Master BigQuery, Data Modeling, dbt, Dataflow, Apache Beam, Streaming Analytics, BigQuery ML, and Production Data Engineering (English Edition)
by Dinak Lal
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ISBN: B0HBWB4C4G • Publisher: Orange Education Pvt Ltd, AVA™ • Year: 2026
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[color=#55acee]🌐 Language: English
[color=#44bb44]📄 Pages: 700
[color=#ff9900]📋 INFO: English | 2026 | ISBN: 8169646294 | 489 pages | True EPUB | 112.98 MB
[color=#888888]📝 DESCRIPTION: Transform Data into Intelligence at Cloud Scale.
Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● Production-grade BigQuery warehouse engineering covering data modeling, partitioning, clustering, and cost optimization.
● End-to-end pipeline engineering with dbt, Apache Beam, Dataflow, Cloud Composer, and CI/CD automation.
● Two complete capstone projects – a real-time streaming analytics system, and a full dbt as well as BigQuery ELT platform.
Book Description
Every Great AI System Begins with a Great Data Platform
BigQuery is the backbone of modern cloud data engineering. Ultimate BigQuery for Data Engineering takes you from SQL fundamentals to building a complete production analytics platform on Google Cloud – with hands-on labs and real engineering patterns at every stage.
You begin with BigQuery internals – columnar storage, Dremel execution, and slot management – then advance through data modeling, partitioning, clustering, cost engineering, and ELT pipelines with dbt. The book covers Apache Beam, Dataflow, Cloud Composer, and streaming analytics with Pub/Sub, before addressing enterprise governance, including row-level security, column masking, data quality testing, CI/CD automation, and ML with BigQuery ML as well as Vertex AI.
The final three chapters deliver two complete capstone projects – a real-time streaming analytics system and a full warehouse ELT platform built with dbt and BigQuery – before closing with the future of BigQuery and emerging trends that will shape the next generation of cloud data engineering. Thus, by the end, you will have a portfolio of production-grade projects that prove your skills on Google Cloud!
What you will learn
● Master BigQuery internals including columnar storage, Dremel execution, and slot management.
● Design scalable data models using partitioning, clustering, and physical optimization strategies.
● Build production-grade ELT pipelines using dbt transformation layers and automated CI/CD workflows.
● Implement streaming analytics using Apache Beam, Dataflow, Pub/Sub, and Cloud Composer orchestration.
● Secure data warehouses using row-level security policies, column masking, and data quality testing.
● Deploy ML models and predictions using BigQuery ML and Vertex AI on Google Cloud.
[color=#ff9900]📦 Download Info
Folder: Ultimate BigQuery For Data Engineering
Format: EPUB
Total Size: 112.98 MB
📋 File List:
📅 29-07-2026 | ⏰ 11:55 UTC
[size=2]
📌 Ultimate BigQuery For Data Engineering.epub (Dinak Lal) (2026) (112.98 MB)
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