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Power Pivot allows for importing data from multiple sources, such as databases (SQL Server, Microsoft Access, etc.), OData data feeds, Excel files, and other sources, facilitating comprehensive data analysis within a single environment. [10] The VertiPaq compression engine is used to hold the data model in memory on the client computer ...
Oracle Reports is a tool for developing reports against data stored in an Oracle database. Oracle Reports consists of Oracle Reports Developer (a component of the Oracle Developer Suite) and Oracle Application Server Reports Services (a component of the Oracle Application Server).
BI Publisher separates the creation of data from the process of formatting it for different uses. [1] The engine can format any well-formed XML data, allowing integration with any system that can generate XML, including Web Services or any data source available through JDBC. BI Publisher can merge multiple data sources into a single output ...
The majority of Essbase users work with Essbase data via an add-in for Microsoft Excel (previously also Lotus 1-2-3) known as Smart View. The Essbase Add-In is a standard plugin to Microsoft Excel and creates an additional menu that can be used to connect to Essbase databases, retrieve or write data, and navigate the cube's dimensions ("Zoom in ...
The PL/SQL package DBMS_PREDICTIVE_ANALYTICS automates the data mining process including data preprocessing, model building and evaluation, and scoring of new data. The PREDICT operation is used for predicting target values classification or regression while EXPLAIN ranks attributes in order of influence in explaining a target column feature ...
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.
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This lets businesses forgo preload transformations and replicate raw data into their data warehouses, where it can transform them as needed using SQL. After having used ELT, data may be processed further and stored in a data mart. [13] Most data integration tools skew towards ETL, while ELT is popular in database and data warehouse appliances.