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ETL – Extract, Transform and Load These three functions are combined into one tool that will pull data out of a database and place into another database. Emprise provides their Clients with access to their data by converting multiple data sources and formats into usable volumes that can be analyzed. Whether you are on a legacy, home grown or enterprise application, we can extract the data.
Data migrations and system conversions are complex processes for most businesses. We can manage the project through the entire lifecycle from the beginning stages of scoping the project thoroughly to post implementation review. These activities all incorporate data migration best practice, with the additional benefit of making the process more straightforward.
ETL: ETL is defined as Extract, Transform, and Load. These three database functions are combined into one tool which pull data out of one database and place it into another database. Additionally, it helps convert databases from one format to another. Extraction is the process of reading data from a database or from multiple sources and bringing that data through a well-defined structured stream, to a warehouse host.
Transform/Transforming is the process of converting the extracted data from its previous form into the form it needs to be in. Once this is accomplished, it can then be placed into another database. Transformation occurs by using rules, lookup tables or by combining the data with other data. Load/Loading is the process of writing the data into the target database.
Keeping in mind that every 18 months, the amount of consumable data DOUBLES; proper/concise/accurate ETL services are nothing less than a “must have”. More than fifty percent (50%) of all development work for data warehousing projects are generally focused on the design/implementation of ETL processes. Inaccurate ETL processes or inadequate designs have proven countless times to be too costly to maintain, change and update. As a result, it’s crucial to make the right technology and tool choices which will be used for developing /maintaining the ETL processes.