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Data Exploration and Preparation with BigQuery
Data Exploration and Preparation with BigQuery

Data Exploration and Preparation with BigQuery: A practical guide to cleaning, transforming, and analyzing data for business insights

By Mike Kahn
$29.99
Book Nov 2023 264 pages 1st Edition
eBook
$29.99
Print
$36.99
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$15.99 Monthly
eBook
$29.99
Print
$36.99
Subscription
$15.99 Monthly

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Table of content icon View table of contents Preview book icon Preview Book

Data Exploration and Preparation with BigQuery

Part 1: Introduction to BigQuery

In the first part of this book, you will learn the mechanics behind BigQuery and how it operates. These chapters will cover BigQuery resource organization and design best practices. You will also understand the goals of data exploration and preparation after completing these chapters.

This part has the following chapters:

  • Chapter 1, Introducing BigQuery and Its Components
  • Chapter 2, BigQuery Organization and Design
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Key benefits

  • Use mock datasets to explore data with the BigQuery web UI, bq CLI, and BigQuery API in the Cloud console
  • Master optimization techniques for storage and query performance in BigQuery
  • Engage with case studies on data exploration and preparation for advertising, transportation, and customer support data
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Data professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges. The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem. The book doesn’t merely offer theoretical insights; it’s a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You’ll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems. By the end of this book, you’ll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.

What you will learn

Assess the quality of a dataset and learn best practices for data cleansing Prepare data for analysis, visualization, and machine learning Explore approaches to data visualization in BigQuery Apply acquired knowledge to real-life scenarios and design patterns Set up and organize BigQuery resources Use SQL and other tools to navigate datasets Implement best practices to query BigQuery datasets Gain proficiency in using data preparation tools, techniques, and strategies

Product Details

Country selected

Publication date : Nov 29, 2023
Length 264 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805125266
Vendor :
Google
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Nov 29, 2023
Length 264 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805125266
Vendor :
Google
Category :
Concepts :

Table of Contents

21 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1: Introduction to BigQuery Chevron down icon Chevron up icon
2. Chapter 1: Introducing BigQuery and Its Components Chevron down icon Chevron up icon
3. Chapter 2: BigQuery Organization and Design Chevron down icon Chevron up icon
4. Part 2: Data Exploration with BigQuery Chevron down icon Chevron up icon
5. Chapter 3: Exploring Data in BigQuery Chevron down icon Chevron up icon
6. Chapter 4: Loading and Transforming Data Chevron down icon Chevron up icon
7. Chapter 5: Querying BigQuery Data Chevron down icon Chevron up icon
8. Chapter 6: Exploring Data with Notebooks Chevron down icon Chevron up icon
9. Chapter 7: Further Exploring and Visualizing Data Chevron down icon Chevron up icon
10. Part 3: Data Preparation with BigQuery Chevron down icon Chevron up icon
11. Chapter 8: An Overview of Data Preparation Tools Chevron down icon Chevron up icon
12. Chapter 9: Cleansing and Transforming Data Chevron down icon Chevron up icon
13. Chapter 10: Best Practices for Data Preparation, Optimization, and Cost Control Chevron down icon Chevron up icon
14. Part 4: Hands-On and Conclusion Chevron down icon Chevron up icon
15. Chapter 11: Hands-On Exercise – Analyzing Advertising Data Chevron down icon Chevron up icon
16. Chapter 12: Hands-On Exercise – Analyzing Transportation Data Chevron down icon Chevron up icon
17. Chapter 13: Hands-On Exercise – Analyzing Customer Support Data Chevron down icon Chevron up icon
18. Chapter 14: Summary and Future Directions Chevron down icon Chevron up icon
19. Index Chevron down icon Chevron up icon
20. Other Books You May Enjoy Chevron down icon Chevron up icon

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