Data warehouse time travel

  • Can Snowflake Time Travel more than 90 days?

    Cloning Objects with Snowflake Time Travel
    If you have Enterprise Edition or higher, Snowflake supports time travel retention of up to 90 days.
    You can, however, create a zero-copy clone every 3 months to indefinitely preserve the object's history.
    You can save the table as a clone every 90 days for up to one year.Mar 22, 2023.

  • How can deleted data be queried with Time Travel?

    In BigQuery, time travel is used to access historical data for analysis and troubleshooting.
    This means that you can query data that was stored, updated, or deleted in the past.
    You can set the duration of the time travel window, from a minimum of two days to a maximum of seven days.
    Seven days is the default..

  • What is an example of Time Travel in Snowflake?

    Snowflake Time Travel is an interesting tool that allows you to access data from any point in the past.
    For example, if you have an Employee table, and you inadvertently delete it, you can utilize Time Travel to go back 5 minutes and retrieve the data.Aug 30, 2023.

  • What is Time Travel in data warehouse?

    You can access data from any point within the time travel window, which covers the past seven days by default.
    Time travel lets you query data that was updated or deleted, restore a table that was deleted, or restore a table that expired..

  • Which Snowflake edition provides Time Travel?

    Extended Time Travel (up to 90 days) requires Snowflake Enterprise Edition..

  • To support Time Travel, the following SQL extensions have been implemented:

    1. AT BEFORE clause which can be specified in SELECT statements and CREATE … CLONE commands (immediately after the object name)
    2. UNDROP command for tables, schemas, and databases
  • In BigQuery, time travel is used to access historical data for analysis and troubleshooting.
    This means that you can query data that was stored, updated, or deleted in the past.
    You can set the duration of the time travel window, from a minimum of two days to a maximum of seven days.
    Seven days is the default.
  • Introduction.
    Snowflake Time Travel is a very important tool that allows users to access Historical Data (i.e. data that has been updated or removed) at any point in time in the past.
    It is a powerful Continuous Data Protection (CDP) feature that ensures the maintenance and availability of historical data.
Snowflake Time Travel enables accessing historical data (i.e. data that has been changed or deleted) at any point within a defined period. It serves as a  Fail-safeStorage CostsAt | before
Using Time Travel, you can perform the following actions within a defined period of time: Query data in the past that has since been updated or deleted. Create clones of entire tables, schemas, and databases at or before specific points in the past. Restore tables, schemas, and databases that have been dropped.

How do I use Delta's time travel capabilities?

Delta's time travel capabilities simplify building data pipelines for the above use cases

As you write into a Delta table or directory, every operation is automatically versioned

You can access the different versions of the data two different ways: 1

Using a timestamp You can provide the timestamp or date string as an option to DataFrame reader:

How do you time travel over a dataset?

Thankfully, using events isn’t the only way to time travel over a dataset

A version control system (VCS) is a piece of software to manage changes in data

Git is probably the most famous VCS there is

In a nutshell, a VCS keeps a record of the changes that are made to a set of files

What is time travel storage & how does it work?

Time travel lets you query data that was updated or deleted, restore a table that was deleted, or restore a table that expired

When you set your storage billing model (in preview) to use physical bytes, the total storage costs you are billed for include the bytes used for time travel storage


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