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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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Toc

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

Visualizing Data to Make Data-Driven Decisions with Looker Studio

Visualizing data helps business stakeholders concentrate on important KPIs and empowers them to make data-driven decisions. Data engineers need to analyze the underlying structure of the data and curate custom reporting layers on top to enable the development of dashboards and reports.

In this chapter, we will discuss the dashboarding product Looker Studio in detail, which can be leveraged to visualize data coming from different sources, including BigQuery, to build compelling reports. On top of that, we will learn what a data engineer should see from a data visualization point of view.

At a high level, here is a list of content that will be covered in this chapter:

  • Unlocking the power of your data with Looker Studio
  • From data to metrics in minutes with an illustrative use case
  • Understanding how Looker Studio can impact the cost of BigQuery
  • Creating Materialized Views and understanding how BI...
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