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Pentaho for Big Data is a data integration tool based on Pentaho Data Integration. [2] It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3] It also supports NoSQL data sources such as MongoDB and HBase. [4] Pentaho ...
free Essbase: Oracle [8] 21.6 Proprietary: IBM Cognos TM1: IBM [9] 10.2.2 FP7 Proprietary - icCube icCube SARL [10] 8.4.14 Proprietary: community / Jedox OLAP Server: Jedox [11] 2019.3 Proprietary: Kyvos: Kyvos Insights [12] 2024.3 Proprietary: Pricing- Microsoft Analysis Services: Microsoft [13] 2016 Proprietary: Mondrian OLAP server: Pentaho ...
Most data integration tools skew towards ETL, while ELT is popular in database and data warehouse appliances. Similarly, it is possible to perform TEL (Transform, Extract, Load) where data is first transformed on a blockchain (as a way of recording changes to data, e.g., token burning) before extracting and loading into another data store.
Importantly, data harvested into RN tools can be repurposed, especially if available as Linked Open Data (RDF triples). These RN tools enhance research support activities by providing data for customized, web pages, CV/biosketch generation and data tables for grant proposals.
Free / Commercial support available Yes GNU LGPL: Replaced by JBoss Fuse Magic xpi Integration Platform: Magic Software Enterprises: 4.0 2015-05 No Proprietary: Openadaptor: The Software Conservancy 3.4.6 2011-02 Free Yes variant of MIT OpenESB: OpenESB Community: 3.2.2 2014-12-02 Free / Enterprise Edition with commercial support Yes CDDL ...
Mondrian is an open source OLAP (online analytical processing) server, written in Java.It supports the MDX (multidimensional expressions) query language and the XML for Analysis and olap4j interface specifications.
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).
Web data integration (WDI) is the process of aggregating and managing data from different websites into a single, homogeneous workflow. This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites is referred to as "web data".