Software:Azure Data Lake
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| Developer(s) | Microsoft |
|---|---|
| Initial release | November 16, 2016 |
| Available in | English |
| Type | Data storage and analytics service |
| Website | azure |
Azure Data Lake[1] is a scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud.
History
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS,[2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built.[2]
Azure Data Lake Storage
Users can store structured, semi-structured or unstructured data produced from applications including social networks, relational data, sensors, videos, web apps, mobile or desktop devices. A single Azure Data Lake Storage account can store trillions[3] of files where a single file can be greater than a petabyte in size.
Azure Data Lake Analytics
Azure Data Lake Analytics is a parallel on-demand job service. The parallel processing system is based on Microsoft Dryad.[4] Dryad can represent arbitrary Directed Acyclic Graphs (DAGs) of computation. Data Lake Analytics provides a distributed infrastructure that can dynamically allocate or de-allocate resources so customers pay for only the services they use.
Azure Data Lake Analytics uses Apache YARN, the part of Apache Hadoop which governs resource management across clusters. Microsoft Azure Data Lake Store supports any application that uses the Hadoop Distributed File System (HDFS) interface.[4]
U-SQL
Using Data Lake Analytics, users can develop and run parallel data transformation and processing programs in U-SQL, a query language that combines SQL with C#. U-SQL was designed as an evolution of the declarative SQL language with native extensibility through the user code written in C#. U-SQL uses C# data types and the C# expression language.
Retirement
In 2021 Microsoft announced the 2024 retirement of the original Azure Data Lake Storage, now termed "Gen1". The related Azure Data Lake Analytics / U-SQL technologies are also being retired.[5] Azure Data Lake Storage Gen2, an extension of Azure Storage, will continue.[6] The suggested replacement technologies are Azure Synapse Analytics and Apache Spark.[7]
See also
References
- ↑ "Data Lake". Microsoft Azure. https://azure.microsoft.com/en-us/solutions/data-lake/.
- ↑ 2.0 2.1 Harris, Derrick (2015-02-05). "Why opening up its Cosmos big data system would be the right move for Microsoft" (in en-US). https://gigaom.com/2015/02/05/why-microsoft-would-open-up-its-own-big-data-systems-to-make-azure-more-competitive/.
- ↑ "Data Lake | Microsoft Azure" (in en). https://azure.microsoft.com/en-us/solutions/data-lake/.
- ↑ 4.0 4.1 Harris, Ed. "Cosmos". http://hpts.ws/papers/2011/sessions_2011/Cosmos-Big-Data-and-Big-Challenges-hpts.pdf.
- ↑ "Azure Data Lake Analytics will be retired on 29 February 2024". Microsoft Azure. https://azure.microsoft.com/en-gb/updates/migrate-to-azure-synapse-analytics/.
- ↑ "Retirement Announcement - Azure Data Lake Storage Gen1". Microsoft Azure. https://learn.microsoft.com/en-us/answers/questions/281107/retirement-announcement-azure-data-lake-storage-ge.
- ↑ "Migrate Azure Data Lake Analytics to Azure Synapse Analytics". Microsoft Azure. https://learn.microsoft.com/en-us/azure/data-lake-analytics/migrate-azure-data-lake-analytics-to-synapse.
External links
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