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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.
Azure Linux, previously known as CBL-Mariner (in which CBL stands for Common Base Linux), [3] is a free and open-source Linux distribution that Microsoft has developed. It is the base container OS for Microsoft Azure services [ 4 ] [ 5 ] and the graphical component of WSL 2 .
Data lakehouses are a hybrid approach that can ingest a variety of raw data formats like a data lake, yet provide ACID transactions and enforce data quality like a data warehouse. [ 14 ] [ 15 ] A data lakehouse architecture attempts to address several criticisms of data lakes by adding data warehouse capabilities such as transaction support ...
Azure Data Lake is a scalable data storage and analytic service for big data analytics workloads that require developers to run massively parallel queries. Azure HDInsight [ 31 ] is a big data-relevant service that deploys Hortonworks Hadoop on Microsoft Azure and supports the creation of Hadoop clusters using Linux with Ubuntu.
Cosmos DB databases can be configured to be available in any of the Microsoft Azure regions (54 regions as of December 2018), letting application developers place their data closer to where their users are. [13] Each container's data gets transparently replicated across all configured regions.
Azure Maps uses map data and routing algorithms to calculate the shortest or fastest routes between locations based on factors like vehicle size and type, traffic conditions, and distance. [21] Routing also supports multi-modal routing, which include multiple modes of transport in a single trip, including cycling, walking, and ferries.
In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key. [26] The necessary relationships are established at the query time. [27] The data in Azure Data Explorer generally follows this pattern: [28] Creating Database, Ingesting data, Query the ...
Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive performance tuning, and automatic improvements to reliability and data protection.