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Data Engineering with Google Cloud Platform - Second Edition

You're reading from  Data Engineering with Google Cloud Platform - Second Edition

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Pages 476 pages
Edition 2nd Edition
Languages
Author (1):
Adi Wijaya Adi Wijaya
Profile icon Adi Wijaya

Table of Contents (19) Chapters

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

Figure 3.1 – BigQuery console

  1. As you can see, there are many buttons and panels in the BigQuery console. There are three main sections on the page. On the left-hand side, there is the BigQuery menu bar, where you can see SQL Workspace, Data Transfers, Scheduled Queries, and the other menus. The second section is the Explorer section...
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