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You're reading from  Snowflake Cookbook

Product typeBook
Published inFeb 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800560611
Edition1st Edition
Languages
Python
Tools
Cloud Foundry
Concepts
Data Science
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Authors (2):
Hamid Mahmood Qureshi
Hamid Mahmood Qureshi
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Hamid Mahmood Qureshi

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.
Read more about Hamid Mahmood Qureshi

Hammad Sharif
Hammad Sharif
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Hammad Sharif

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.
Read more about Hammad Sharif

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Identifying dropped databases, tables, and other objects and restoring them using Time Travel

Time Travel can be used to recover tables, schemas, and even complete databases. In this recipe, we are given a scenario where a database and other objects have been deleted. We will identify what has been deleted and recover them back to the previous state.

Getting ready

You will need to be connected to your Snowflake instance via the web UI or the SnowSQL client to execute this recipe.

How to do it…

We will first create a database, then two schemas in that database, and some tables within those schemas. We will then gradually delete the tables, schemas, and eventually the complete database. Then we will try to recover them through the Time Travel feature:

  1. We will start by creating a new database, followed by the creation of a schema. To do so, run the following SQL:
    CREATE DATABASE C8_R3;
CREATE SCHEMA SCHEMA1;
  2. Next, we will create a test table called CUSTOMER...
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Snowflake Cookbook
Published in: Feb 2021Publisher: PacktISBN-13: 9781800560611
© 2021 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Hamid Mahmood Qureshi

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.
Read more about Hamid Mahmood Qureshi

author image
Hammad Sharif

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning. He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles. Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.
Read more about Hammad Sharif

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