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Azure Synapse Analytics is a fully managed cloud data warehouse. [27] [28] Azure Data Factory is a data integration service that allows creation of data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. [29]
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 Cosmos DB. Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector ...
Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. [1] Users can set up alerts to detect anomalies, predict trends ...
Azure Synapse Analytics is the leading MDCS's modern service for data storage used by everybody, from individual programmers to the world's top companies. The team develops end-to-end management for Service Fabric that is capable of orchestrating millions of containers on thousands of virtual machines .
Open sourced in 2015 for real-time low-latency analytics. Support and extensions available from StarTree. Calpont InfiniDB: C++ ClickHouse: C++ Released in 2016 to analyze data that is updated in real time CrateDB: Java C-Store: C++ The last release of the original code was in 2006; Vertica a commercial fork, lives on. DuckDB: C++
Microsoft Azure SQL Database (formerly known as SQL Azure, SQL Server Data Services, SQL Services, and Windows Azure SQL Database) is a managed cloud database (PaaS) cloud-based Microsoft SQL Servers, provided as part of Microsoft Azure services. The service handles database management functions for cloud based Microsoft SQL Servers including ...
e. In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations. ETL processing is typically executed using ...