![]() By setting up data retention policies, you can reduce the likelihood of cost overruns and storing irrelevant data. ![]() Azure Data Explorer, as a big data service, can potentially produce a lot of data that will become irrelevant after a short period of time. You need to enable JavaScript to run this app. Storage Explorer makes use of both the Blob (blob) & Data Lake Storage Gen2 (dfs) endpoints when working with Azure Data Lake Storage Gen2. Now you can use the same tool to manage your different Azure entities in one place. ![]() ![]() Data Lake Storage Gen1 in Azure Storage Explorer enables you to access and manage Data Lake Storage Gen1 data and resources, along with other Azure entities like blobs and queues. ![]()
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