Learning Google BigQuery (notice n° 70198)
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| fixed length control field | 03539cam a2200289zu 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FRCYB88855327 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250107230024.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250107s2017 fr | o|||||0|0|||eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781787288591 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | FRCYB88855327 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | FR-PaCSA |
| Language of cataloging | en |
| Transcribing agency | |
| Description conventions | rda |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Haridass, Thirukkumaran |
| 245 01 - TITLE STATEMENT | |
| Title | Learning Google BigQuery |
| Statement of responsibility, etc. | ['Haridass, Thirukkumaran', 'Brown, Eric'] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Packt Publishing |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | p. |
| 336 ## - CONTENT TYPE | |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type code | c |
| Source | rdamdedia |
| 338 ## - CARRIER TYPE | |
| Carrier type code | c |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasetsAbout This BookGet started with BigQuery API and write custom applications using itLearn how BigQuery API can be used for storing, managing, and query massive datasets with easeA practical guide with examples and use-cases to teach you everything you need to know about Google BigQueryWho This Book Is ForIf 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.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 the legacy and standard SQL techniquesUse partition tables in your project and query external data sources and wild card tablesCreate tables and data sets dynamically using the BigQuery APIPerform 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 RMaster the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big DataIn DetailGoogle 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.Style and ApproachThis book follows a step-by-step approach to teach readers the concepts of Google BigQuery using SQL. To explain various data querying processes, large-scale datasets are used wherever required. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Haridass, Thirukkumaran |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Brown, Eric |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Access method | Cyberlibris |
| Uniform Resource Identifier | <a href="https://international.scholarvox.com/netsen/book/88855327">https://international.scholarvox.com/netsen/book/88855327</a> |
| Electronic format type | text/html |
| Host name | |
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