How to mount AZURE Data lake storage Gen2 container with Databricks.
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In this video I will show you how to How to mount AZURE Data lake storage Gen2 container with Databricks
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=====⏱️Timestamps⏱️=====
00:00 How to mount AZURE Data lake storage Gen2 container with Databrick. - Intro.
00:20 Basic syntax of mounting.
01:04 How get Account key and Defines the Account key.
01:50 Mount data lake in Databricks.
03:20 How to list the mount points in data lake.
04:00 How to unmount mount points in Data Lake.
In Azure Data Lake Storage, a mount point is a directory in a Databricks file system (DBFS) where a Data Lake Storage Gen1 or Gen2 container is mounted for easy access to the data. Mounting a Data Lake Storage container in Databricks allows you to access the data stored in the container as if it were stored in a local file system.
When you mount a Data Lake Storage container, you specify the mount point directory where the container's data will be made available. Once the mount point is set up, you can read and write data to the container using familiar file I/O operations in your Databricks notebooks or jobs.
Mount points make it easier to work with large amounts of data stored in Data Lake Storage, as you can access the data directly from Databricks without having to copy it to the local file system. This can save time and reduce storage costs, as you don't need to duplicate the data in multiple places.
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