ETL (Extract, Transform, Load) is an optimized tool that extracts, transforms, and loads data from multiple sources into a centralized data repository or a data warehouse. Its advantage is that it can extract data in native form like unstructured or structured and transform into the desired format before loading it into the target destination. The SAP ETL Tool also integrates various systems and transforms different data formats into each other. The SAP ETL Tool moves data to and from the SAP ecosystem and runs checks to verify if the value of a name has been defined and also to clean the data. The unique benefit of this tool is that data can be extracted and transformed even outside the application. Migrating data from SAP or non-SAP sources to target the HANA database is also done through the SAP Data Services using the SAP ETL Tool, thereby enabling businesses to run data analytics in the application layer only. However, it is essential to first define the flow...
In today’s business environment that is mostly data-driven, organizations are continually looking for ways that optimize their data storage and computing capabilities. Those on Microsoft-based databases can do so too, one reason why the preference is migrating databases from Microsoft SQLServer to Snowflake. Snowflake is a data warehousing solution with all the benefits of the cloud. It offers unlimited storage capabilities and users can scale up and down paying only for the resources used. Snowflake also provides unmatched computing powers and does not have any drop in performance or speed lag even when multiple users are simultaneously executing intricate queries. It is for all these factors and more that database migration from SQL Server to Snowflake is such an attractive proposition today. Database migration from SQL Server to Snowflake There are four steps in database migration from SQL Server to Snowflake. In the first, data is extracted from the SQL Server using queries f...