Azure Data Lake store provides storage for big data. It provides petabyte scale of storage and is highly optimized for storing data that has high volume, velocity, and comprises multiple types and format. Data of various format and size can be co-stored within the same Data Lake.
Traditional storage, such as filesystems, relational databases, and other storage are general purpose storage accounts and are not suitable for storage of big data that is accessed for analytics purposes. The repository should be optimized for faster and efficient querying and should be able to store data in raw as well as processed format. Azure Data Lake has been created specifically for this purpose.
Azure Data Lake is accessible by a variety of tools and services including HDInsight Hadoop, Azure machine learning, stream analytics, data factory, event hubs, and more.
Data comes...
