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  2. 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]

  3. 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 ...

  4. Databricks launches its first industry-specific lakehouse - AOL

    www.aol.com/news/databricks-launches-first...

    Today, the well-funded data analytics firm Databricks is joining the fray with its first vertical-specific solution: Lakehouse for Retail. The promise here is to offer a fully integrated platform ...

  5. 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 ...

  6. 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 ...

  7. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key. [26] The necessary relationships are established at the query time. [27] The data in Azure Data Explorer generally follows this pattern: [28] Creating Database, Ingesting data, Query the ...

  8. Reynold Xin - Wikipedia

    en.wikipedia.org/wiki/Reynold_Xin

    Reynold Xin is a computer scientist and engineer specializing in big data, distributed systems, and cloud computing. He is a co-founder and Chief Architect of Databricks . [ 1 ] He is best known for his work on Apache Spark , a leading open-source Big Data project. [ 2 ]

  9. JPMorgan consumer banking boss Marianne Lake on Trump, the ...

    www.aol.com/finance/jpmorgan-consumer-banking...

    Marianne Lake, who runs JPMorgan's sprawling consumer franchise, offers her thoughts on the state of bank regulation, Trump's return to the White House, and the possibility of a soft landing.