
ETL is defined as a method or process of extracting, transforming, and loading raw data from various sources into a single and centralized location. These can be data warehouses or other centralized data storage systems. In the data analytics world, raw data goes through a similar process before it can be analyzed and reported — and this is where ETL comes in. So, let’s take a look at what ETL means. Check out the video to learn more about the ETL process: https://youtu.be/CyVvglLMLew For more info on ETL, visit: https://www.cubeware.com Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh Twitter: https://twitter.com/Cubeware Instagram: https://www.instagram.com/cubeware.gmbh/ Telegram: https://t.me/cubeware #BusinessIntelligence #DataAnalytics #AdvancedDataAnalytics #Cubeware
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[ Eps. 29 ] ETL (Extract, Transform, Load) Series: How Does the ETL Process Work?

[ Eps. 28 ] What is Data Quality?

[ Eps. 26 ] A Success Story: The Future of Data Reporting

[ Eps. 25 ] Everything You Need to Know About Dark Data
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