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  2. 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 ...

  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. 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 ...

  5. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.

  6. Data warehouse appliance - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse_appliance

    "Data warehouse appliance" is a term coined by Foster Hinshaw, [1] [2] the founder of Netezza.In creating the first data warehouse appliance, Hinshaw and Netezza used the foundations developed by Model 204, Teradata, and others, to pioneer a new category to address consumer analytics efficiently by providing a modular, scalable, easy-to-manage database system that’s cost effective.

  7. Trump considers privatizing US Postal Service, Washington ...

    www.aol.com/news/trump-considers-privatizing-u...

    The U.S. Postal Service, which has lost more than $100 billion since 2007, reported a net loss of $9.5 billion for its fiscal year ending Sept. 30, $3 billion more than last year, largely due to a ...

  8. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  9. TikTok Ban Signed Into Law: What It Means For America's $15 ...

    www.aol.com/tiktok-ban-signed-law-means...

    TikTok will be banned in the United States on Jan. 19, 2025, after a federal appeals court rejected its bid to overturn the ban that President Biden signed in April. The law states that if TikTok ...