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2. Databricks makes bringing data into its 'lakehouse' easier - AOL

   www.aol.com/news/databricks-makes-bringing-data...

   Databricks today announced the launch of its new Data Ingestion Network of partners and the launch of its Databricks Ingest service. At the core of the company's lakehouse is Delta Lake ...

3. Databricks - Wikipedia

   en.wikipedia.org/wiki/Databricks

   Databricks develops and sells a cloud data platform using the marketing term "lakehouse", a portmanteau of "data warehouse" and "data lake". [40] Databricks' Lakehouse is based on the open-source Apache Spark framework that allows analytical queries against semi-structured data without a traditional database schema. [41]

4. Data lake - Wikipedia

   en.wikipedia.org/wiki/Data_lake

   [14] [15] A data lakehouse architecture attempts to address several criticisms of data lakes by adding data warehouse capabilities such as transaction support, schema enforcement, governance, and support for diverse workloads. According to Oracle, data lakehouses combine the "flexible storage of unstructured data from a data lake and the ...

5. 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 ...

6. Azure Stream Analytics - Wikipedia

   en.wikipedia.org/wiki/Azure_Stream_Analytics

   azure.microsoft.com /en-us /services /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 ]

7. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   Data Warehouse and Data mart overview, with Data Marts shown in the top right.. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1]

8. Database activity monitoring - Wikipedia

   en.wikipedia.org/wiki/Database_activity_monitoring

   Database activity monitoring (DAM, a.k.a. Enterprise database auditing and Real-time protection [1]) is a database security technology for monitoring and analyzing database activity. DAM may combine data from network-based monitoring and native audit information to provide a comprehensive picture of database activity.

9. Real user monitoring - Wikipedia

   en.wikipedia.org/wiki/Real_user_monitoring

   Real user monitoring (RUM) is a passive monitoring technology that records all user interaction with a website or client interacting with a server or cloud-based application. [1] Monitoring actual user interaction with a website or an application is important to operators to determine if users are being served quickly and without errors and, if ...