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  2. Data preparation - Wikipedia

    en.wikipedia.org/wiki/Data_preparation

    Data preparation is the first step in data analytics projects and can include many discrete tasks such as loading data or data ingestion, data fusion, data cleaning, data augmentation, and data delivery. [2] The issues to be dealt with fall into two main categories:

  3. Data curation - Wikipedia

    en.wikipedia.org/wiki/Data_curation

    The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...

  4. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  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. Agnostic (data) - Wikipedia

    en.wikipedia.org/wiki/Agnostic_(data)

    The field definitions and formatting can be stored in the entity synchronization layer with the data they are acting on. Allows fields and formatting to change, without having to hardcode and compile programs. The data and formatting are then generated dynamically by the code used to extract the data and the formatting information.

  7. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Other data warehouses (or even other parts of the same data warehouse) may add new data in a historical form at regular intervals – for example, hourly. To understand this, consider a data warehouse that is required to maintain sales records of the last year. This data warehouse overwrites any data older than a year with newer data.

  8. International groups sound alarm after IDF detain director of ...

    www.aol.com/concerns-grow-israeli-forces-detain...

    Before his detention, Abu Safiya, a pediatrician, repeatedly warned about the IDF's raid on the hospital and how it endangered patients, including premature babies. On Friday, he posted video on ...

  9. Unstructured data - Wikipedia

    en.wikipedia.org/wiki/Unstructured_data

    Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text -heavy, but may contain data such as dates, numbers, and facts as well.