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Data Engineering with Google Cloud Platform

You're reading from   Data Engineering with Google Cloud Platform A practical guide to operationalizing scalable data analytics systems on GCP

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800561328
Length 440 pages
Edition 1st 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 (17) Chapters Close

Preface 1. Section 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. Section 2: Building Solutions with GCP Components
5. Chapter 3: Building a Data Warehouse in BigQuery 6. Chapter 4: Building Orchestration 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 for Making Data-Driven Decisions with Data Studio 10. Chapter 8: Building Machine Learning Solutions on Google Cloud Platform 11. Section 3: Key Strategies for Architecting Top-Notch Data Pipelines
12. Chapter 9: User and Project Management in GCP 13. Chapter 10: Cost Strategy in GCP 14. Chapter 11: CI/CD on Google Cloud Platform for Data Engineers 15. Chapter 12: Boosting Your Confidence as a Data Engineer 16. Other Books You May Enjoy

Introduction to the BigQuery console

The best way to understand BigQuery is by using it, so let's start with a simple exercise. This first exercise will focus on understanding the BigQuery console. The BigQuery console is your main user interface for developing and using BigQuery. In this exercise, we will create a dataset and table and query the table using the BigQuery console.

Let's start our exercise by opening the BigQuery console from our browser:

  1. Open your GCP console. 
  2. Go to the navigation bar and choose BigQuery. This is the BigQuery main page, called the BigQuery console.

Figure 3.1 – BigQuery console

  1. As you can see, there are a multitude of buttons and panels in the BigQuery console. I recommend that you quickly scan through the console to familiarize yourself with the menus. As the first step, let's look at the left panel, Explorer.

You can find your project name in Explorer as a default...

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