Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis

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Key benefits

Get started with BigQuery API and write custom applications using it

Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease

A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery

Description

Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.

What you will learn

Get a hands-on introduction to Google Cloud Platform and its services

Understand the different data types supported by Google BigQuery

Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques

Use partition tables in your project and query external data sources and wild card tables

Create tables and data sets dynamically using the BigQuery API

Perform real-time inserting of records for analytics using Python and C#

Visualize your BigQuery data by connecting it to third party tools such as Tableau and R

Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Robert Robinson Jan 26, 2018

This book is easy to understand to know what is Big query and how to use Google BigQuery, Google services with good examples.This book covers in beginning how to start with Google cloud services and their types of services. It helped me to do project in Google App Engine and Google BigQuery. We can learn BigQuery API with examples and the current capabilities of the platform.The great thing in this book is we can choose the language in C#.Net or Python to get into Google BigQuery API.Finally it's a great book for BigQuery beginners.

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FSTB Jan 29, 2018

This is a step by a step book that give you the bases and the power through all the reading. As you read and follow the exercises, you quickly learn and understand the meaning behind BigQuery. Easy to read, easy to learn. The author gives tips and lessons based on their experience. Using this data warehouse solution, you will save time and get into work very quickly. You will see results as you follow the guides from this book.

Eike Pierstorff Jun 07, 2018

This is not a "guide to mining massive datasets", this is a guide to run very basic SQL queries against a high performance cloud database; basic SQL does not suddenly become "data mining" because you run it on a cloud database, or via an API. If you really need to have explained to you what "SELECT" does in a SQL statement then BigQuery might not be a good tool for you in the first place (and don't event get me started on the so called "Advanced SQL" section).What's left is an okay-ish step by step manual on how to create a BigQuery project and set up API access, so if you prefer spending some 20 bucks over searching for ten minutes to find the appropriate support pages this book might be for you.This book might make sense if you take the "beginner" in the title to mean "first time database users" (which would be akin to "heart surgery for first time knife users"). I mistook "beginner" to mean "BigQuery beginner" (i.e. I thought I could expand existing SQL skills into data mining), but even so, for SQL starters there is just no point to start with BigQuery. Basically any SQL manual will be more useful.

George A. Quintas Jan 25, 2018

The kindle version is not working on Kindle Cloud Reader. I only able to read from location 1 to location 719 and beyond that the contents are all unreadable and I lost interest reading this book and did not bother to read the rest of the pages (location 1429 on wards are readable). I need a refund please or send me a complete working copy. So far the readable locations gave me the information that I need but still I need a complete book.

Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis

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