Data Exploration and Preparation with BigQuery
Language: English
Published by Packt Publishing Limited, GB, 2023
- Softcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 37.39
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Data Exploration and Preparation with BigQuery is a comprehensive guide to working with data preparation tools and strategies using BigQuery as a modern data warehouse solution. Through hands-on exercises and projects, you'll leverage your BigQuery proficiency to overcome common challenges faced by data analysts.
Seller Inventory # LU-9781805125266
- Title
- Data Exploration and Preparation with BigQuery
- Author
- Mike Kahn
- Publisher
- Packt Publishing Limited, GB
- Publication year
- 2023
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1805125265
- ISBN 13
- 9781805125266
Learn to understand and prepare data using BigQuery to make your data accurate, reliable, and ready for analysis and modeling
Key Features
- Explore data with the BigQuery web UI, bq CLI, and BigQuery API in cloud console using mock dataset
- Optimizing storage and query performance techniques in BigQuery
- Case study on data exploration and preparation for advertising, transportation, and support data
Book Description
Data professionals today encounter challenges including handling large volumes of data, dealing with data silos, and lacking 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 lifecycle often hinders teams and organizations from extracting the desired value from their data.
Data Exploration & Preparation with BigQuery will help in addressing these challenges. The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. The book then progresses to demonstrate how BigQuery can be used for data exploration and preparation and explain the various big data tools available on Google Cloud. The book will further teach you to properly shape your tables for query efficiency and best practices for data preparation. You will also learn about when to use Dataflow, BigQuery, and Dataprep for ETL. The book will give you a walkthrough of various case studies that demonstrate how BigQuery can be used to solve real-world data problems.
By the end of this book, Readers are expected to be able to use SQL to explore and prepare datasets in BigQuery to unlock insights from data.
What you will learn
- Assess the quality of a dataset and learn best practices for data cleansing
- Prepare data for data analysis, visualization, and for machine learning
- Approaches to visualize data in BigQuery
- Apply lessons learned with real-life scenarios and design pattern
- Setup and organize BigQuery resources
- Use SQL and other tools to explore datasets
- Best practices for querying BigQuery datasets
- Understand data preparation tools, techniques, and strategies
Who This Book Is For
This book is for data analysts who want to learn how to explore and prepare data using BigQuery. Readers are expected to have a basic understanding of SQL, reporting, data modeling, and transformations. Moreover, this is an excellent guide for anyone who plans on using BigQuery as a data warehouse to provide insights to their business from large data sets
Table of Contents
- BigQuery and Data Exploration and Preparation Introduction
- BigQuery Design and Organization
- Exploring Data in BigQuery
- Loading and Transforming Data
- Querying BigQuery Data
- Exploring Data with Notebooks
- Exploring and Visualizing Data
- Data Preparation Tools
- Cleansing and Transforming Data
- Data Preparation and Cost Control Best Practices
- End to End Use Case for Advertising Data
- End to End Use Case for Transportation Data
- End to End Use Case for Customer Support Data
- Summary of Key points, Future Directions, Resources
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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London, United Kingdom
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