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Data Exploration and Preparation with BigQuery

By Mike Kahn
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  1. Free Chapter
    Part 1: Introduction to BigQuery
About this book
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.
Publication date:
November 2023
Publisher
Packt
Pages
264
ISBN
9781805125266

 

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
About the Author
  • Mike Kahn

    Mike Kahn is a data and infrastructure enthusiast and currently leads a Customer Engineering team at Google Cloud. Prior to Google, Mike spent five years in solution architecture roles and worked in operations and leadership roles in the data center industry. His over 15 years of experience have given him a deep knowledge of data and infrastructure engineering, operations, strategy, and leadership. Mike holds multiple Google Cloud certifications and is a lifelong learner. He is based in Boca Raton, Florida, in the US and holds a Bachelor of Science degree in Management Information Systems (MIS) from University of Central Florida and a Master of Science degree in MIS from Florida International University.

    Browse publications by this author
Data Exploration and Preparation with BigQuery
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