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Data Engineering with Google Cloud Platform - Second Edition

Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud , Second Edition

By Adi Wijaya
$33.99 $22.99
Book Apr 2024 476 pages 2nd Edition
eBook
$33.99 $22.99
Print
$41.99
Subscription
$15.99 Monthly
eBook
$33.99 $22.99
Print
$41.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Apr 30, 2024
Length 476 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781835080115
Vendor :
Google
Category :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • Get up to speed with data governance on Google Cloud
  • Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream
  • Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you invaluable insights into managing and optimizing data resources effectively. Furthermore, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.

What you will learn

Load data into BigQuery and materialize its output Focus on data pipeline orchestration using Cloud Composer Formulate Airflow jobs to orchestrate and automate a data warehouse Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster Harness Pub/Sub for messaging and ingestion for event-driven systems Apply Dataflow to conduct ETL on streaming data Implement data governance services on Google Cloud

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Apr 30, 2024
Length 476 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781835080115
Vendor :
Google
Category :

Table of Contents

19 Chapters
Preface Packt Packt
Part 1: Getting Started with Data Engineering with GCP Packt Packt
Chapter 1: Fundamentals of Data Engineering Packt Packt
Chapter 2: Big Data Capabilities on GCP Packt Packt
Part 2: Build Solutions with GCP Components Packt Packt
Chapter 3: Building a Data Warehouse in BigQuery Packt Packt
Chapter 4: Building Workflows for Batch Data Loading Using Cloud Composer Packt Packt
Chapter 5: Building a Data Lake Using Dataproc Packt Packt
Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow Packt Packt
Chapter 7: Visualizing Data to Make Data-Driven Decisions with Looker Studio Packt Packt
Chapter 8: Building Machine Learning Solutions on GCP Packt Packt
Part 3: Key Strategies for Architecting Top-Notch Solutions Packt Packt
Chapter 9: User and Project Management in GCP Packt Packt
Chapter 10: Data Governance in GCP Packt Packt
Chapter 11: Cost Strategy in GCP Packt Packt
Chapter 12: CI/CD on GCP for Data Engineers Packt Packt
Chapter 13: Boosting Your Confidence as a Data Engineer Packt Packt
Index Packt Packt
Other Books You May Enjoy Packt Packt

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