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  2. Azure Data Lake - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Lake

    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.

  3. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/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.

  4. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Azure Synapse Analytics is a fully managed cloud data warehouse. [ 28 ] [ 29 ] 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.

  5. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    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++ An embeddable, in-process, column-oriented SQL OLAP RDBMS Databend Rust An elastic and reliable Serverless Data Warehouse InfluxDB: Rust Time series database

  6. Microsoft Development Center Serbia - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Development...

    The Azure Data team in Belgrade is proud to own and develop the product called Managed Instance from the beginning to the end. 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.

  7. Precisely (company) - Wikipedia

    en.wikipedia.org/wiki/Precisely_(company)

    Integrate data seamlessly from legacy systems into next-gen cloud and data platforms including Amazon AWS, Microsoft Azure, Google Cloud Platform, Azure Synapse Analytics, Cloudera, Databricks, Snowflake, Hadoop, Apache Kafka, Apache Spark

  8. Azure Stream Analytics - Wikipedia

    en.wikipedia.org/wiki/Azure_Stream_Analytics

    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]

  9. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Azure SQL Database is built on the foundation of the SQL server database and therefore, kept in sync with the latest version [2] of it by using the common code base. Since the cloud version of the database technology strives to decouple it from the underlying computing infrastructure, it doesn't support some of the context specific T-SQL ...

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