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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
Languages
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Getting Started with Data Engineering with GCP
2. Chapter 1: Fundamentals of Data Engineering FREE CHAPTER 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

Unlocking the power of your data with Looker Studio

Looker Studio is a tool for you to visualize your data fully on the cloud. There are two main reasons why we need data visualization; the first is exploration, while the second is reporting:

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    As a data engineer, even though visualizing data is not your main responsibility, there are times when visualizing data may help in your job. For example, at times when you need to optimize your data pipeline, you may need to analyze a query job’s performance. Visualizing the job’s data will help you get more information. If you have a data science background, you may be familiar with tools such as Jupyter Notebook. It is a fully-fledged tool for data analytics, including visualization for exploration. But in our case, we may only need to quickly visualize a bar chart from a BigQuery table, for example. In that case, Looker Studio is the best option due to its simplicity and seamless connectivity to BigQuery.

  • Data...
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