This chapter covers Azure Data Lake Storage. AZ-900 tests under 2.4.
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A simple way to picture Azure Data Lake Storage
A traditional data warehouse is structured for specific queries. A data lake is a massive storage area for raw data of any type, to be analyzed flexibly later.
Data Lake Storage stores massive amounts of unstructured and structured data, supporting big-data analytics without the rigid structure of traditional warehouses. It's optimized for analytics workloads.
Create a Data Lake Storage account
A storage account is provisioned.
Load data
Raw data of any type is loaded into the lake.
Analyze
Analytics tools query and analyze the data flexibly.
An organization stores years of raw log files in a data lake, then analyzes them for patterns without pre-structuring the data.
Objective 2.4 expects understanding of Data Lake as unstructured big-data storage.
Data Lake stores massive amounts of data flexibly.
Optimized for analytics.
Supports unstructured and structured data.
It's a storage service optimized for big-data analytics, storing massive amounts of structured and unstructured data flexibly.
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