An ETL tool is used to execute an integration project, and it includes three steps: extraction, transformation, and loading. Thus, an ETL tool extracts data from disparate sources, transforms it to make it compatible with the destination system, and then loads it into the destination system.
A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. ... It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing
The main difference between ETL and Data Warehouse is that the ETL is the process of extracting, transforming and loading the data to store it in a data warehouse while the data warehouse is a central location that is used to store consolidated data from multiple data sources.
|
Course Features |
|
| Lectures | 6 |
|---|---|
| Quizzes | 1 |
| Duration | 3 hours |
| Skill Level | All Levels |
| Language | English |
| Student | Nill |
| Certification | Yes |
| Assessment | Yes |
Mr. Sai Krupa Sr. Software Engineer
They should have 6+ years of enjoying in data warehousing responsibilities, information training, and facts gateways. They need to be professional and familiar with the extraordinary Business Intelligence analytical device, including SSRS, SSAS, and SSIS. They must have essential facts about JavaScript and SQL.
AIn this module, you learned how, why, and when to use the Power BI service. You used Power BI Home and the navigation pane to find your content: dashboards, reports, and apps. You opened a dashboard and added alerts and comments. On that dashboard, you selected tiles to open and view reports. With a report open, you moved between the report pages, changed display options, explored filters and bookmarks, and viewed and exported the underlying data. In the final unit, you learned how to share and collaborate with colleagues.