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GOOGLE BIGQUERY LERNEN: EIN ANFÄNGERLEITFADEN FÜR DEN BERGBAU von Thirukkumaran Haridass-

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LEARNING GOOGLE BIGQUERY: A BEGINNER'S GUIDE TO MINING By Thirukkumaran Haridass
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ISBN-10
1787288595
Book Title
Learning Google BigQuery: A beginner's guide to mining massive
Item Height
9.25 inches
ISBN
9781787288591

Über dieses Produkt

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1787288595
ISBN-13
9781787288591
eBay Product ID (ePID)
242733746

Product Key Features

Number of Pages
264 Pages
Language
English
Publication Name
Learning Google BigQuery : A Beginner's Guide to Mining Massive Datasets Through Interactive Analysis
Subject
Data Modeling & Design, Programming Languages / Sql, Data Processing
Publication Year
2017
Type
Textbook
Author
Eric Brown, Thirukkumaran Haridass
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Length
92.5 in
Item Width
75 in

Additional Product Features

Intended Audience
Trade
Table Of Content
Table of Contents Google Cloud and Google BigQuery Google Cloud SDK Google BigQuery Data Types BigQuery SQL Basic BigQuery SQL Advanced BigQuery API Visualizing BigQuery Data Google Cloud Pub Sub
Synopsis
Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features 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 Book 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 Who this book is for If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed., Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features 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 Book 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 Who this book is for If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed. ]]>, 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 ...

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