<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: ETL Avec Python</title><link>http://www.bing.com:80/search?q=ETL+Avec+Python</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>ETL Avec Python</title><link>http://www.bing.com:80/search?q=ETL+Avec+Python</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Extract, transform, load - Wikipedia</title><link>https://en.wikipedia.org/wiki/Extract,_transform,_load</link><description>Extract, transform, load (ETL) is a three-phase computing process where data are extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.</description><pubDate>Wed, 11 Nov 2026 13:17:00 GMT</pubDate></item><item><title>ETL Process in Data Warehouse - GeeksforGeeks</title><link>https://www.geeksforgeeks.org/dbms/etl-process-in-data-warehouse/</link><description>In short, the ETL process involves extracting raw data from various sources, transforming it into a clean format and loading it into a target system for analysis.</description><pubDate>Tue, 10 Nov 2026 21:39:00 GMT</pubDate></item><item><title>Extract, transform, load (ETL) - Azure Architecture Center</title><link>https://learn.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl</link><description>Extract, transform, load (ETL) is a data integration process that consolidates data from diverse sources into a unified data store. During the transformation phase, data is modified according to business rules using a specialized engine.</description><pubDate>Sat, 09 Mar 2024 16:44:00 GMT</pubDate></item><item><title>What is ETL? - Extract Transform Load Explained - AWS</title><link>https://aws.amazon.com/what-is/etl/</link><description>What is ETL? Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse. ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML).</description><pubDate>Fri, 17 Apr 2026 06:18:00 GMT</pubDate></item><item><title>What is ETL (extract, transform, load)? - IBM</title><link>https://www.ibm.com/think/topics/etl</link><description>ETL is a data integration process that extracts, transforms and loads data from multiple sources into a data warehouse or other unified data repository.</description><pubDate>Tue, 10 Nov 2026 09:08:00 GMT</pubDate></item><item><title>ETL Listed Mark | Product Certification - Intertek</title><link>https://www.intertek.com/product-certification-marks/etl/</link><description>ETL is issued by Intertek, an OSHA-recognized Nationally Recognized Testing Laboratory (NRTL), which means products bearing the ETL Mark meet the same U.S. safety standards as other NRTL certified products.</description><pubDate>Wed, 11 Nov 2026 02:47:00 GMT</pubDate></item><item><title>What is ETL (extract transform load)? - Informatica</title><link>https://www.informatica.com/resources/articles/what-is-etl.html</link><description>ETL is a three-step data integration process used to synthesize raw data from a data source to a data warehouse, data lake, or relational database. Data migrations and cloud data integrations are common use cases for ETL.</description><pubDate>Mon, 09 Nov 2026 19:53:00 GMT</pubDate></item><item><title>What Is ETL? | Oracle</title><link>https://www.oracle.com/integration/what-is-etl/</link><description>Extract, transform, and load (ETL) is the process data-driven organizations use to gather data from multiple sources and then bring it together to support discovery, reporting, analysis, and decision-making.</description><pubDate>Thu, 22 Oct 2026 11:39:00 GMT</pubDate></item><item><title>Extract Transform Load (ETL) - Databricks</title><link>https://www.databricks.com/discover/etl</link><description>ETL, which stands for extract, transform, and load, is the process data engineers use to extract data from different sources, transform the data into a usable and trusted resource, and load that data into the systems end-users can access and use downstream to solve business problems.</description><pubDate>Mon, 20 May 2024 10:32:00 GMT</pubDate></item><item><title>What is ETL (Extract Transform Load) - GeeksforGeeks</title><link>https://www.geeksforgeeks.org/data-analysis/what-is-etl-extract-transform-load/</link><description>ETL (Extract, Transform, Load) is a data integration process used to collect data from multiple sources, transform it into a consistent format and load it into a target system such as a data warehouse or data lake.</description><pubDate>Thu, 05 Nov 2026 19:51:00 GMT</pubDate></item></channel></rss>