What is ETL? ETL stands for Extract, Transform, Load. This process is used to integrate data from multiple sources into a single destination, such as a data warehouse. The process involves extracting data from the source systems, transforming it into a format that can be used by the destination system, and then loading it into […]
Anshu Sharma –
As a data engineer specializing in Informatica PowerCenter, Azure Data Factory, Azure Databricks, and Azure DevOps, I am responsible for designing, building, and maintaining data pipelines that enable businesses to extract insights from their data. Well-acquainted with Agile and Scrum Methodology, having experience and expertise in handling multiple types of tasks.
Blogs from this Author
Informatica PowerCenter Overview: Part 1
what is ETL? ETL is a process that extracts the data from different source systems, then transforms the data (like applying calculations, concatenations, etc.), and finally loads the data into the Data Warehouse system. The full form of ETL is Extract, Transform, and Load. What is a data warehouse (DW)? A Data Warehouse (DW) is […]
ETL & SQL : The Dynamic Data Duo
Data is the lifeline of any modern organization. At any point, every day, you work on molding data points into information to derive profits. Therefore, having the right building blocks is a crucial part of running a good business. This is where the dynamic duo of ETL and SQL comes into play. While you may […]