Data mapping, also known as schema mapping, is the initial step in in a wide variety of data integration processes. The data mapping process involves mapping the elements of two distinct data sets or models in order to convert data from one source into a format that matches that of the destination location.
A common use case scenario is when one company merges with another company. The data for both sets of operations, customers, etc. must be merged into the central database. Data mapping is used to track one set of information and cross-reference it with another set of data. This allows both companies to merge the data into one final database.
Data conversion, translation, and mapping are not complex tasks, but can be incredibly tedious and often error prone, depending upon the scope of the data mapping tools being used. Almost every system will at some point need to transform data from one format to another, whether for importing data from another source, translating it from one format to another, or transforming it to a different output format. While many data mapping tasks are alike, they can be different enough to require specialized conversion that needs code to be written.
In addition, as technologies evolve, IT must constantly learn new database mapping skills and frameworks.
While there are numerous data mapping or schema mapping tools available in the market, ranging from simple mapping software to sophisticated extract, transform, and load (ETL) tools for data warehouses, most are not designed for complex, hierarchical data conversions and require workarounds, multi-step processes, and custom programming. Consequently, many organizations have developed custom processes using expensive IT resources. These homegrown programs are difficult to create, expensive to maintain, often have performance issues, and do not scale well.
Centerprise database mapping software reduces or eliminates the need for hand coding and automates many tedious tasks, saving human resource time and resulting in fewer errors and higher quality, more reliable data.
Certain procedures are important in database mapping in order for the user to obtain the best results. Centerprise ensures the highest, most reliable data quality thanks to built-in profiling, validation, and correction capabilities. It supports reusable maps and modular dataflow development, enhancing efficiency and freeing human resources for more important projects.
The code-free, visual environment ensures that anyone can create, debug, and manage complex dataflows and data mappings. Astera designed Centerprise with an intuitive and user-friendly interface, enabling users to transform advanced tasks into basic drag-and-drop or single-click commands, with no need to write code or maintain generated code for any type of transformation. This improves productivity and efficiency when mapping, validating, and cleansing data. Customers and partners can be quickly integrated, boosting performance and profitability.