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  2. Azure Stream Analytics - Wikipedia

    en.wikipedia.org/wiki/Azure_Stream_Analytics

    Stream Analytics supports three different types of input sources - Azure Event Hubs, Azure IoT Hubs, and Azure Blob Storage. [2] Additionally, stream analytics supports Azure Blob storage as the input reference data to help augment fast moving event data streams with static data. [2] Stream analytics supports a wide variety of output targets.

  3. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    Azure Data Explorer can ingest 200 MB per second per node. [14] Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub, [21] or programmatic ingestion using SDKs. Data visualization can be achieved using their native dashboard offering, or with tools like Power BI [21] [22] or Grafana ...

  4. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    Table Explanation. Software: The name of the application that is described; SMP aware: . basic: hard split into multiple virtual host; basic+: hard split into multiple virtual host with some minimal/incomplete communication between virtual host on the same computer

  5. Event-driven SOA - Wikipedia

    en.wikipedia.org/wiki/Event-driven_SOA

    SOA 2.0 is the ability to create high-level business events from numerous low-level system events. Events are created by filtering real-time data (from middleware, applications, databases, and Web services, for example) and infusing it with defining detail such as dependencies or causal relationships discovered by correlating other events.

  6. 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 ...

  7. Data hub - Wikipedia

    en.wikipedia.org/wiki/Data_hub

    A data hub differs from a data lake by homogenizing data and possibly serving data in multiple desired formats, rather than simply storing it in one place, and by adding other value to the data such as de-duplication, quality, security, and a standardized set of query services. A data lake tends to store data in one place for availability, and ...

  8. Data vault modeling - Wikipedia

    en.wikipedia.org/wiki/Data_Vault_Modeling

    Hubs contain a list of unique business keys with low propensity to change. Hubs also contain a surrogate key for each Hub item and metadata describing the origin of the business key. The descriptive attributes for the information on the Hub (such as the description for the key, possibly in multiple languages) are stored in structures called ...

  9. 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.