enow.com Web Search

  1. Ad

    related to: pentaho data integration latest version

Search results

  1. Results from the WOW.Com Content Network
  2. Pentaho - Wikipedia

    en.wikipedia.org/wiki/Pentaho

    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 ...

  3. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    Latest stable version ... Pentaho [14] 3.7 EPL: free Oracle Database OLAP Option: Oracle [15] 11g R2 ... Data access Cell security Dimension security

  4. Sqoop - Wikipedia

    en.wikipedia.org/wiki/Sqoop

    Informatica provides a Sqoop-based connector from version 10.1. Pentaho provides open-source Sqoop based connector steps, Sqoop Import [6] and Sqoop Export, [7] in their ETL suite Pentaho Data Integration since version 4.5 of the software. [8] Microsoft uses a Sqoop-based connector to help transfer data from Microsoft SQL Server databases to ...

  5. PDI - Wikipedia

    en.wikipedia.org/wiki/PDI

    Pentaho Data Integration, design data flow software; Versit Consortium's Personal Data Interchange; Pop Directional Isolate, Unicode bidirectional text character; Portable Database Image format (.pdi) Atmel Program and Debug Interface

  6. Mondrian OLAP server - Wikipedia

    en.wikipedia.org/wiki/Mondrian_OLAP_server

    mondrian.pentaho.com 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.

  7. 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).

  8. LucidDB - Wikipedia

    en.wikipedia.org/wiki/LucidDB

    Purpose-built for data warehousing, OLAP, and business intelligence, LucidDB is a "columnar Business Intelligence database". [3] [4] It handles ETL functionality using extensions to ANSI SQL, by using 'wrappers' around a range of data sources (databases, text files, Web services, etc.), allowing them to be queried as though they were all databases. [3]

  9. Comparison of integrated development environments - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_integrated...

    Yes, until version 4.5.25 and since version 5.5.0 [51] Yes, since version 5.0.0 [52] Yes, for Python 2 & 3 Yes: Qt Creator: Un­known Yes Yes Yes Multiple integrated checkers and Pylint via plug-in Yes Yes Yes Subversion and Mercurial (core plug-ins), git (optional plug-in) Django as optional plug-in Geany: Team 1.37.1 2020-11-08

  1. Ad

    related to: pentaho data integration latest version