Ultimate BigQuery for Data Engineering by Dinak Lal (.ePUB)
File Size: 28.9 MB
Ultimate BigQuery for Data Engineering: Master BigQuery, Data Modeling, dbt, Dataflow, Apache Beam, Streaming Analytics, BigQuery ML, and Production Data Engineering by Dinak Lal
Requirements: .ePUB reader, 28.9 MB | True EPUB
Overview: Transform Data into Intelligence at Cloud Scale. 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!
Genre: Non-Fiction > Tech & Devices
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