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Data Engineering with Google Cloud Platform

You're reading from   Data Engineering with Google Cloud Platform A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Length 476 pages
Edition 2nd Edition
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
LinkedIn
Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google.nAdi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.n
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Table of Contents (19) Chapters Close

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Access Control List (ACLs) 307, 331

accountability 345

clear traceability 346, 347

acknowledge (ack) 200

Airflow 110

backfilling 143

catchup 143

rerun 143

used, for loading bike-sharing tables 138-142

working 111, 112

Airflow dataset 154-157

used, for handling DAG dependency 150-152

Airflow deferrable 155

Airflow jobs

task idempotency for incremental load 149, 150

Airflow macro variables 137

Airflow sensor 153-155

Airflow smart sensor 155

Airflow web UI 115-118

analytics

services 36, 37

analytics engineer 433

Analytics Hub 101, 426

Apache Beam

used, for creating HelloWorld application 210-217

Application Default Credentials (ADCs) 274

application programming interface (API) 111, 298

artificial intelligence (AI...

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Authors (1)

Profile icon Adi Wijaya
Adi Wijaya
LinkedIn icon Github icon
Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google. Adi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.
Read more
See other products by Adi Wijaya

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