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Pentaho for Big Data: EE, CE: PDI plug-in: N/A: 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]
A database catalog of a database instance consists of metadata in which definitions of database objects such as base tables, views (virtual tables), synonyms, value ranges, indexes, users, and user groups are stored. [1] [2] It is an architecture product that documents the database's content and data quality. [3]
Alation is an enterprise software company based in Silicon Valley.. Alation Data Catalog is a data catalog that serves enterprises in organizing and consolidating their data. . Alation launched its data catalog as their first product in 2015 to give data consumers an easy way to search for enterprise data with natural langua
The terms data dictionary and data repository indicate a more general software utility than a catalogue. A catalogue is closely coupled with the DBMS software. It provides the information stored in it to the user and the DBA, but it is mainly accessed by the various software modules of the DBMS itself, such as DDL and DML compilers, the query optimiser, the transaction processor, report ...
Includes text mining tools and links to external molecular and medical data sets. Free Yes EMBL-EBI: PubMed Central (PMC) [13] Biomedical, life sciences: 7,500,000 Free full-text archive of publications and preprints Free Yes NIH, NLM: ResearchGate: Multidisciplinary: 4,000,000 [citation needed] Commercial social networking site for scientists ...
Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.By using DCAT to describe datasets in catalogs, publishers increase discoverability and enable applications to consume metadata from multiple catalogs.
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Data warehouse automation (DWA) refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from source system analysis to testing to documentation .
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