Table of Contents
Best Google BigQuery Courses 2022
Best Google BigQuery Tutorials 2022
Google BigQuery & PostgreSQL : Big Query for Data Analysis
6 reasons why you should choose this PostgreSQL and BigQuery course
A carefully designed program to teach you all about SQL you will need for business data analysis
Comprehensive – covers basic and advanced SQL statements in PostgreSQL and BigQuery
Business-related examples and case studies
Many practical exercises because SQL requires practice
Learn SQL for Data Analysis with Google Big Query
Learn how to use SQL with BigQuery quickly and efficiently with this course!
You will learn to read and write complex queries against a database using one of the most in-demand skills and one of the most powerful databases: Google BigQuery.
In this course, you will learn:
How to navigate the BigQuery user interface and its main features
How to write SQL syntax comprising a range of statements and functions to query your datasets.
Transferable SQL skills that can be used with any SQL database (whether you are using Bigquery or another database such as MySQL or Postgresql)
How to export your data for a diverse range of use cases after completing your analysis.
Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand technology skills and one of the most important skills as a Data Analyst.
SQL For Data Science With Google Big Query
This course assumes you don’t know anything about SQL and teaches you all the basics as well as more advanced features / methods. You will also learn Google Big Query, a very popular cloud-based tool for querying large amounts of data at scale in the cloud. Not only will you learn SQL, but you will learn a lot about data visualization and how to collect information from data. You’ll also have access to hundreds of huge real-world datasets that come with the Google Big Query ecosystem. Even after completing the course content, you can continue to improve yourself by doing all kinds of projects on the data made available.
This course requires a Google Account (which is free) and a 12-month free trial for Google Cloud Platform (GCP). This is how you access Google Big Query, one of the services offered through GCP. When you sign up for the GCP 12-month free trial, you receive $ 300 to spend on all GCP services. This is more than enough to query the datasets for this course. I used less than 5% of the credits to prepare and complete all the material. As part of the registration process, you will need a credit card or bank details so that GCP can verify your identity. You will not be billed or billed during your 12 month free trial. Instructions for registration will be available in course introduction videos.
Best Google BigQuery Books 2022
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale by Valliappa Lakshmanan and Jordan Tigani. Work with petabyte-scale data sets while creating an agile and collaborative workplace in the process. This instruction book is the canonical reference to Google BigQuery, the query engine that enables you to perform interactive analysis of large data sets. BigQuery enables companies to efficiently store, query, ingest, and learn from their data in a convenient environment. In this book, you will examine how to analyze data at scale to gain insights effectively from large data sets.
Valliappa Lakshmanan, CTO of Google Cloud Platform, and Jordan Tigani, Engineering Director of the BigQuery team, provide best practices for modern data storage in a self-scaling serverless public cloud. Whether you want to explore parts of BigQuery that you are unfamiliar with or prefer to focus on specific tasks, this reference is a must-have.
Bestsellers
- Lakshmanan, Valliappa (Author)
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- 528 Pages - 06/09/2014 (Publication Date) - Wiley (Publisher)
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- 264 Pages - 12/27/2017 (Publication Date) - Packt Publishing (Publisher)
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- 564 Pages - 10/01/2020 (Publication Date) - Apress (Publisher)
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- 304 Pages - 08/08/2021 (Publication Date) - 5STARCooks (Publisher)
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- 368 Pages - 11/21/2023 (Publication Date) - Wiley (Publisher)
- PAN FEI YI [ MEI ] WA LI A PA · LA KE SHEN MAN NAN ( Valliappa Lakshmanan ) , FU JIAN QING , JIANG...
- Chinese (Publication Language)
- 08/01/2021 (Publication Date) - China Electric Power Press (Publisher)
- Edmondson, Mark (Author)
- English (Publication Language)
- 339 Pages - 12/20/2022 (Publication Date) - O'Reilly Media (Publisher)
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- 402 Pages - 02/06/2018 (Publication Date) - O'Reilly Media (Publisher)
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- Frazel, Midge (Author)
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