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In computing, online analytical processing, or OLAP ( / ˈoʊlæp / ), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [ 1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [ 2] OLAP is part of the broader category of business intelligence ...
Cubes (light-weight open-source OLAP server) ClickHouse. Apache Pinot. Apache Druid. Apache Doris. icCube. Oracle Essbase. Oracle Retail Predictive Application Server (RPAS), a retail specific MOLAP/OLAP server using Berkeley DB for persistence.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
Graph database. A graph database ( GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. [1] A key concept of the system is the graph (or edge or relationship). The graph relates the data items in the store to a collection of nodes and edges, the edges representing the ...
Relational database management system (includes market share data) List of relational database management systems. Comparison of object–relational database management systems. Comparison of database administration tools. Object database – some of which have relational (SQL/ODBC) interfaces. IBM Business System 12 – an historical RDBMS and ...
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 considered a core component of business intelligence. [ 1] Data warehouses are central repositories of integrated data from one or more disparate sources.
The user can easily download and add files to their Excel sheets to use for their data. Other tools Excel offers is the use of conditional formatting and basic pivot tables and charts. Excel allows the user to reference other cells which ultimately allows for complex computations to be made and conclusions to be drawn from data. [21]
The first release of Power BI was based on the Microsoft Excel-based add-ins: Power Query, Power Pivot and Power View. With time, Microsoft also added many additional features like question and answers, enterprise-level data connectivity, and security options via Power BI Gateways. [5] Power BI was first released to the general public on 24 ...