Azure Data Lake Storage Gen2 is optimised to perform better on larger files. This helps analytics customers optimize their data for both performance and cost. Azure Data Lake Storage provides the storage layer of the Data Lake for hosting such large volumes of data. At least one rule is required in a policy. Policies can be defined by the age, or relevancy, of data, based on an organization’s data lake needs. Storage accounts with a hierarchical namespace enabled for use with Azure Data Lake Storage Gen2 are now supported. You can define up to 100 rules in a policy. For more information about storage accounts, see Azure storage account overview. Some data stays idle in the cloud and is rarely, if ever, accessed once stored. You will be doing end to end demos to ingest, process, and export data using Databricks and HDInsight. By adjusting storage tiers in respect to the age of data, you can design the least expensive storage options for your needs. Blob Storage features such as diagnostic logging, access tiers, and Blob Storage lifecycle management policies now work with accounts that have a hierarchical namespace. 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