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A common source of problems in ETL is a big number of dependencies among ETL jobs. For example, job "B" cannot start while job "A" is not finished. One can usually achieve better performance by visualizing all processes on a graph, and trying to reduce the graph making maximum use of parallelism , and making "chains" of consecutive processing ...
It started at RJMetrics in 2016 as a solution to add basic transformation capabilities to Stitch (acquired by Talend in 2018). [3] The earliest versions of dbt allowed analysts to contribute to the data transformation process following the best practices of software engineering.
Pipeline Pilot was initially developed by SciTegic, a company that was acquired by BIOVIA in 2004. In 2014, BIOVIA became part of Dassault Systèmes.. Originally designed for applications in chemistry, Pipeline Pilot's capabilities have since been expanded to support a wider range of data processing tasks, including extract, transform, and load (ETL) processes, as well as general analytical ...
IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition.
Spatial extract, transform, load (spatial ETL), also known as geospatial transformation and load (GTL), is a process for managing and manipulating geospatial data, for example map data. It is a type of extract, transform, load (ETL) process, with software tools and libraries specialised for geographical information.
2012-05-10 2.4.6 GPL: Yes Yes Yes Yes Yes Yes Yes No Yes Yes IBM Db2, HSQLDB, Apache Derby, H2: Java: HeidiSQL: Ansgar Becker 2022-08-13: 12.1 [3] GPL: Yes needs Wine: needs Wine: Yes Yes Yes Yes Delphi: Maatkit Baron Schwartz 2010-06-01 5247 GPL: Yes Yes Yes Yes Perl: Microsoft SQL Server Management Studio: Microsoft: 2024-07-09 [4] 20.2 ...
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).
Providing hyperlinks to already answered, semantically related questions helps users to get answers earlier but is a challenging problem because semantic relatedness is not trivial. [18] The lab was motivated by the fact that 20% of mathematical queries in general-purpose search engines are expressed as well-formed questions. [ 19 ]