![]() Thanks to the open source world, there are some popular open source ETL tools which can address complex real-time data migration challenges. In today’s world the lack of ETL specific tools can cost organizations significant development effort and money to build an efficient automated process for data migration. These challenges can be addressed by ETL tools which can save costs and business time. Data can exist in different forms in RDBMS Database, flat files, CSVs etc., and the requirement would be to migrate, integrate all of this data into a single database or if the target database is different, data transformation process would become critical. Whenever there is a requirement for data migration, the first thing that DBAs or Developers look for is an ETL tool. Though these tools exist, there is no guarantee that the data migration requirements will be fulfilled straight away, which is why DBAs and Developers often opt to build custom ETLs to get through real-time complex data migration challenges. There a quite a few popular ETL tools out there which are widely used by businesses to address different data migration requirements. The ETL process exists in the form of various tools. ![]() ![]() In simple core terms, ETL is used to extract the data from a data source like a database or a file and then cleansed, transformed according to the business requirements and then loaded into the target database. ETL is a popular process in the data warehousing world where-in data from various data sources are integrated and loaded into a target database for performing analytics and reporting for business. ETL refers to Extract, Transform and Load, it is a 3 step process applied to extract the data from various sources (which can exist in various forms), cleanse, and load in to a target database for analytics. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |