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Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis
CRC 24787
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Learning Google BigQuery will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from Big Data.
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- Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasetsKey FeaturesGet started with BigQuery API and write custom applications using itLearn how BigQuery API can be used for storing, managing, and querying massive datasetsLearn everything you need to know about Google BigQueryBook DescriptionGoogle BigQuery is a popular cloud data warehouse for large-scale data analytics. Learning Google BigQuery will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from on 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.In the final chapters, you’ll explore tips, best practices, as well as 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 learnGet a hands-on introduction to Google Cloud Platform and its servicesUnderstand the different data types supported by Google BigQueryMigrate your enterprise data to BigQuery and query it using SQL techniquesUse partition tables in your project and query external data sources and wild card tablesCreate tables and datasets dynamically using the BigQuery APIInsert records for analytics using Python and C#Visualize your BigQuery data by connecting it to third-party tools such as Tableau and RMaster the Google Cloud Pub/Sub to implement real-time reporting and analytics of your Big DataWho This Book Is ForLearning Google BigQuery is for developers, data analysts, and data scientists looking to run complex queries over thousands of records in seconds. No prior experience of working with BigQuery is assumed.Table of ContentsGoogle Cloud and Google BigQueryGoogle Cloud SDKGoogle BigQuery Data TypesBigQuery SQL BasicBigQuery SQL AdvancedBigQuery APIVisualizing BigQuery Data Google Cloud Pub Sub
| Publisher | Packt Publishing |
| Publication date | December 22, 2017 |
| Language | English |
| Print length | 264 pages |
| ISBN-10 | 1787288595 |
| ISBN-13 | 978-1787288591 |
| Item Weight | 1.13 pounds (510 grams) |
| Dimensions | 7.5 x 0.6 x 9.25 inches (19.1 x 1.5 x 23.5 cm) |
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Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis
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Data Modeling & Design Editorial Review
Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis is an insightful resource published by Packt Publishing. This guide is particularly beneficial for newcomers interested in data analysis and is aimed at teaching users how to leverage BigQuery for mining vast datasets. The book encompasses 386 pages of detailed content that supports English language learners and includes features like enhanced typesetting and screen reader compatibility. Readers have found it to be an excellent introduction to the powerful analytics offered by Google BigQuery.
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ventajas
- Comprehensive guide for beginners in data analysis
- Supports screen readers for accessibility
- Enhanced typesetting improves reading experience
- In-depth coverage of Google BigQuery features
- Practical examples for hands-on learning
Contras
- Minor technical jargon may confuse complete beginners
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CRC 24787
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características y beneficios
- Get a fundamental understanding of Google BigQuery for analyzing large datasets.
- Learn to use the BigQuery API for storing and managing massive data.
- Migrate existing data to BigQuery and optimize it for analysis.
- Perform both basic and advanced querying techniques with SQL.
- Visualize data by connecting BigQuery to third-party tools like R and Tableau.
- Master real-time reporting using Google Cloud Pub/Sub for Big Data analytics.
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