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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

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Profile Icon Mike Kahn
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Mex$424.99 Mex$607.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (17 Ratings)
eBook Nov 2023 264 pages 1st Edition
eBook
Mex$424.99 Mex$607.99
Paperback
Mex$758.99
Subscription
Free Trial
Arrow left icon
Profile Icon Mike Kahn
Arrow right icon
Mex$424.99 Mex$607.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (17 Ratings)
eBook Nov 2023 264 pages 1st Edition
eBook
Mex$424.99 Mex$607.99
Paperback
Mex$758.99
Subscription
Free Trial
eBook
Mex$424.99 Mex$607.99
Paperback
Mex$758.99
Subscription
Free Trial

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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.

Who is this book for?

This book is for data analysts seeking to enhance their data exploration and preparation skills using BigQuery. It guides anyone using BigQuery as a data warehouse to extract business insights from large datasets. A basic understanding of SQL, reporting, data modeling, and transformations will assist with understanding the topics covered in this book.

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

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 29, 2023
Length: 264 pages
Edition : 1st
Language : English
ISBN-13 : 9781805123422
Vendor :
Google
Category :
Languages :
Concepts :
Tools :

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Product feature icon Download this book in EPUB and PDF formats
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OR
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Product Details

Publication date : Nov 29, 2023
Length: 264 pages
Edition : 1st
Language : English
ISBN-13 : 9781805123422
Vendor :
Google
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total Mex$ 2,912.97
Data Engineering with Google Cloud Platform
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Database Design and Modeling with Google Cloud
Mex$717.99
Data Exploration and Preparation with BigQuery
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Total Mex$ 2,912.97 Stars icon
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Table of Contents

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

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Amazon Customer Dec 09, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The author is successfully able to present the material in a clear and concise way. I found the book extremely helpful! Highly recommend!
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Kindle Customer Dec 09, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
In today’s world where data is of utmost importance, this book provides a wealth of knowledge into various insights for business to leverage to apply real world strategies. Highly recommend as an easy to follow and informative guide for anyone looking to learn more about making better data supported decisions.
Amazon Verified review Amazon
Thomas Frantzen Dec 14, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
An essential guide for anyone in data and mastering BigQuery! It goes beyond the basics with comprehensive insights, practical techniques, and realistic examples for data exploration, preparation, and analysis. Super helpful!
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Amazon Customer Dec 09, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I found the information very helpful. Well done......
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Ross K. Dec 09, 2023
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Book is a wealth of knowledge and deep dive into big query and data exploration. Highly recommend.
Amazon Verified review Amazon
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