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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. [53] 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. Object–relational database - Wikipedia

    en.wikipedia.org/wiki/Object–relational_database

    An object–relational database (ORD), or object–relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language.

  4. 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 ...

  5. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    Star schema used by example query. Consider a database of sales, perhaps from a store chain, classified by date, store and product. The image of the schema to the right is a star schema version of the sample schema provided in the snowflake schema article.

  6. Aggregate (data warehouse) - Wikipedia

    en.wikipedia.org/wiki/Aggregate_(data_warehouse)

    Example of a basic architecture of a data warehouse. An aggregate is a type of summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason why aggregates can make such a dramatic increase in the performance of a data warehouse is the reduction of the ...

  7. Data lake - Wikipedia

    en.wikipedia.org/wiki/Data_lake

    For example, the definition of data warehouse is also changeable, and not all data warehouse efforts have been successful. In response to various critiques, McKinsey noted [ 13 ] that the data lake should be viewed as a service model for delivering business value within the enterprise, not a technology outcome.

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  9. Operational data store - Wikipedia

    en.wikipedia.org/wiki/Operational_data_store

    An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support.

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