ETL USE CASES

Enterprise Applications of ETL

The use of ETL is broadening across the globe beyond simple data movements. Here are a few common use-cases of ETL: Data Migration Data migration is the process of transferring data between databases, data formats, or enterprise applications. There are various reasons why an organization may decide to migrate data to a new environment, such as to replace legacy applications with modern tools, switch to high-end servers, or consolidate data post-merger or acquisition.

Regardless of the underlying reason, ETL remains a proven method that many organizations rely on to respond to data migration needs.

Using ETL tools, businesses can surface data from different repositories as well as consolidate data from external and internal sources to offer business users a unified, well-rounded view of all business operations.

Data Warehousing Data warehousing is a complex process as it involves integrating, rearranging, and consolidating massive volumes of data captured within disparate systems to provide a unified source of BI and insights. In addition, data warehouses must be updated regularly to fuel BI processes with fresh data and insights.

ETL is a key process used to load disparate data in a homogenized format into a data repository. Besides, with incremental loads, ETL also enables near real-time data warehousing, thereby providing business users and decision makers fresh data for reporting and analysis. Data Quality

From erroneous data received from online forms to lack of integration between data sources and ambiguous nature of data itself, there are several factors that impact the quality of incoming data streams, thereby diminishing the value businesses can extract from its data assets. ETL is a key data management process that helps enterprises ensure that only clean and consistent data makes it to their data repository and BI tools. Here are some of the ways businesses can use ETL to enhance data quality:

• Data profiling and standardization • Duplication • Data enhancement • Data cleansing and verification

To get a better view of enterprise information assets, it is critical to integrate data stored in disparate applications, such as Salesforce.com and MS Dynamics. An end-to-end ETL process helps integrate data from cloud applications, massage the data for ensuring data quality, and load it into a target destination, such as a data warehouse or database.