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Data Engineering with Google Cloud Platform - Second Edition
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

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Profile Icon Adi Wijaya
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$22.99 $33.99
Book Apr 2024 476 pages 2nd Edition
eBook
$22.99 $33.99
Print
$41.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Adi Wijaya
Arrow right icon
$22.99 $33.99
Book Apr 2024 476 pages 2nd Edition
eBook
$22.99 $33.99
Print
$41.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$22.99 $33.99
Print
$41.99
Subscription
Free Trial
Renews at $19.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

Data Engineering with Google Cloud Platform - Second Edition

Part 1: Getting Started with Data Engineering with GCP

This part will talk about the purpose, value, and concepts of big data and cloud computing and how Google Cloud platform (GCP) products are relevant for data engineering. You will learn about a data engineer’s core responsibilities, how they differ from data scientists, and how to facilitate the flow of data through an organization to derive insights.

This part has the following chapters:

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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 with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, 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

Product Details

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

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

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

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Table of Contents

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