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ETL

A specific type of data integration revolving around the extraction, transformation, and loading of data from multiple sources.

ETL is a specific type of data integration revolving around the extraction, transformation, and loading of data from multiple sources. ETL initially gained popularity in the 1970s when businesses started using multiple data repositories to store their information and needed a solution to integrate their data across their multiple databases.

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Yash Mehta
September 13, 2021
CIO
ETL has lost the race to big data. The solution is as simple as reordering the phases of traditional process integration.
Valuates Reports
June 24, 2021
www.prnewswire.com:443
/PRNewswire/ -- The Data Warehousing Market is Segmented by Type by Type of Offering (Extraction, Transportation & Loading (ETL) Solutions, Statistical...
U.S. Consumer Product Safety Commission
June 21, 2021
www.prnewswire.com:443
/PRNewswire/ -- https://www.cpsc.gov/Newsroom/News-Releases/2021/CPSC-Urges-Consumers-to-Schedule-a-Safety-Check-Up-on-Products-in-Their-Homes We all know that...
Research and Markets
June 11, 2021
www.prnewswire.com:443
/PRNewswire/ -- The "Risk Analytics Market With COVID-19 Impact Analysis by Software Type(ETL, Risk Calculation Engines), Service, Risk Type(Strategic Risk,...
Bitwise Inc.
June 3, 2021
www.prnewswire.com:443
/PRNewswire/ -- Bitwise Inc., a Chicago based technology consulting and services company, launches its ETL Conversion to Azure Data Factory (ADF) 2-Day...
MarketsandMarkets
May 26, 2021
www.prnewswire.com:443
/PRNewswire/ -- According to a new market research report "Risk Analytics Market with COVID-19 Impact Analysis by Software Type(ETL, Risk Calculation Engines),...
Research and Markets
November 12, 2020
www.prnewswire.com:443
/PRNewswire/ -- The "Geospatial Analytics Market - Global Forecast to 2025" report has been added to ResearchAndMarkets.com's offering. The Geospatial...
Martin Heller
July 20, 2020
InfoWorld
Aimed at integrating models with Java applications, Deeplearning4j offers a stack of components for building JVM-based applications that incorporate AI
June 24, 2020
WebWire
The world's most popular data analytics application, Apache Spark, now offers revolutionary GPU acceleration to its more than half a million users through the general availability release of Spark 3.0. Databricks provides the leading cloud-based enterprise Spark platform, run on over a million virtual machines every day. At the Spark + AI Summit today, Databricks announced that Databricks Runtime 7.0 for Machine Learning features GPU-accelerator aware scheduling with Spark 3.0, develop...

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