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  2. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    In March 2024, Databricks released DBRX, an open-source foundation model. It has a mixture-of-experts architecture and is built on the MegaBlocks open-source project. [52] DBRX cost $10 million to create. At the time of launch, it was the fastest open-source LLM, based on commonly-used industry benchmarks.

  3. 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] Data warehouses are central repositories of data integrated from ...

  4. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    MS SQL Server, MySQL, Oracle, Firebird, ... Enterprise Architect: Sparx Systems ... PostgreSQL, Red Brick Warehouse, SAP business Suite, SAP Hana, SAP Adaptive Server ...

  5. Databricks CEO thinks we’re on the verge of an ‘intelligence ...

    www.aol.com/finance/databricks-ceo-thinks-verge...

    Databricks is also considered a top candidate to go public. “Right now we have a huge demand on our business and we're focused on satisfying that. When the time is right, we will also go public.

  6. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1]

  7. Data lake - Wikipedia

    en.wikipedia.org/wiki/Data_lake

    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 ...

  8. Data architecture - Wikipedia

    en.wikipedia.org/wiki/Data_architecture

    One of the architecture techniques is the split between managing transaction data and (master) reference data. Another is splitting data capture systems from data retrieval systems (as done in a data warehouse). Technology drivers These are usually suggested by the completed data architecture and database architecture designs.

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