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{ "item_title" : "Mastering Data Engineering with BigQuery", "item_author" : [" Shanthababu Pandian "], "item_description" : "Your guide to building intelligent, cloud-ready data pipelines.Key Features● Get a free one-month digital subscription to www.avaskillshelf.com● Master end-to-end data engineering on Google Cloud, from ingestion to AI.● Build hands-on pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub.● Production-ready design covering performance, security, and governance.Book DescriptionBigQuery sits at the core of modern cloud data platforms, enabling you to analyze massive datasets with speed, scalability, and simplicity. Mastering Data Engineering with BigQuery guides you through the complete lifecycle of cloud-native data systems on Google Cloud Platform-from data ingestion and storage to processing, orchestration, analytics, and machine learning-using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.What you will learn● Design scalable, cloud-native data architectures on Google Cloud.● Build batch and streaming pipelines using Dataflow and Dataproc.● Store, query, and optimize data efficiently with BigQuery.Who is This Book For?This book is ideal for data engineers, cloud engineers, analysts, machine learning engineers, and solution architects building scalable data systems on Google Cloud as well as IT professionals transitioning into cloud data engineering roles. Readers should have a basic programming knowledge (Python or SQL preferred) as prior cloud or data experience is helpful, but not a necessityTable of Contents1. Introduction to Data Engineering on Google Cloud2. Google Cloud Platform Essentials3. Data Storage on GCP4. Processing Data with Cloud Dataproc5. Data Pipelines with Dataflow6. Orchestrating Workflows with Cloud Composer7. Analytics with BigQuery8. Managing Data Integration with Cloud Pub/Sub9. BigQuery Machine Learning10. BigQuery Performance Optimization11. Data Security and Compliance on GCPIndex", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/34/988/771/9349887711_b.jpg", "price_data" : { "retail_price" : "44.95", "online_price" : "44.95", "our_price" : "44.95", "club_price" : "44.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Data Engineering with BigQuery|Shanthababu Pandian

Mastering Data Engineering with BigQuery

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Overview

Your guide to building intelligent, cloud-ready data pipelines.

Key Features

● Get a free one-month digital subscription to www.avaskillshelf.com

● Master end-to-end data engineering on Google Cloud, from ingestion to AI.

● Build hands-on pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub.

● Production-ready design covering performance, security, and governance.

Book Description

BigQuery sits at the core of modern cloud data platforms, enabling you to analyze massive datasets with speed, scalability, and simplicity. Mastering Data Engineering with BigQuery guides you through the complete lifecycle of cloud-native data systems on Google Cloud Platform-from data ingestion and storage to processing, orchestration, analytics, and machine learning-using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.

What you will learn

● Design scalable, cloud-native data architectures on Google Cloud.

● Build batch and streaming pipelines using Dataflow and Dataproc.

● Store, query, and optimize data efficiently with BigQuery.

Who is This Book For?

This book is ideal for data engineers, cloud engineers, analysts, machine learning engineers, and solution architects building scalable data systems on Google Cloud as well as IT professionals transitioning into cloud data engineering roles. Readers should have a basic programming knowledge (Python or SQL preferred) as prior cloud or data experience is helpful, but not a necessity

Table of Contents

1. Introduction to Data Engineering on Google Cloud

2. Google Cloud Platform Essentials

3. Data Storage on GCP

4. Processing Data with Cloud Dataproc

5. Data Pipelines with Dataflow

6. Orchestrating Workflows with Cloud Composer

7. Analytics with BigQuery

8. Managing Data Integration with Cloud Pub/Sub

9. BigQuery Machine Learning

10. BigQuery Performance Optimization

11. Data Security and Compliance on GCP

Index

This item is Non-Returnable

Details

  • ISBN-13: 9789349887718
  • ISBN-10: 9349887711
  • Publisher: Orange Education Pvt Ltd
  • Publish Date: March 2026
  • Dimensions: 9.25 x 7.5 x 0.9 inches
  • Shipping Weight: 1.66 pounds
  • Page Count: 442

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