What Is Data Mapping?
The term "data mapping" refers to the ability to make connections between source data fields and their target data fields. In addition, technicians and developers can create code conversions to ensure that the targeted output is met. In all of today's businesses and organizations, accurate data mapping is an essential part of data migration and data integration strategies.
Data mapping is what determines what data will be transferred to a certain target system. It determines the format of the data to be transferred, how frequently these transfers will occur, and how the data transfers will be initiated or triggered.
Data mapping software converts data input into an electronic data interchange file format. Data mapping software is capable of transforming any data field into the required compatible format by making it the required length, data type, and format to be compatible with a certain receiver.
Data mapping can be manually performed and this is ideal for small organizations and businesses. Larger firms with more complex networks and databases, or those that are mostly to completely cloud-based, however, would benefit from semi-automated and/or automated data mapping techniques. Similarly, these businesses would be most effective if they used cloud-based data mapping. Both open-source and cloud-based data mapping software is available. However, cloud-based data mapping systems, such as those offered by Alooma, Adeptia, and Microsoft CRM, are not encumbered by the limitations encountered by on-site or manual data mapping systems.
Why Is Data Mapping Important?
By creating the web-like maps that show the data connections between source fields and their targets, data mapping allows developers to also foresee potential problems, such as by identifying incompatible data fields or formats. Since the data map points this out before it is put into action, preemptive prevention and correction measures can be taken.
Data mapping is important for maintaining cohesive relationships between two or more elements of data. It provides the common medium in which all of an organization's data fields interact with one another. As such, data mapping is responsible for maintaining data compatibility throughout the data processing and analysis.
Data mapping also helps in identifying personal and private data and keeping it secure. As long as mapping to servers that handle this type of information is accurate, the data can be properly encrypted and securely transferred from source to target.
How Is Data Mapping Used?
Data mapping in organizations is primarily used in two main tasks: data migration and data integration. In data migration, information is moved from one data field to another. Data mapping's role in data migration is to create a schematic that shows the proper route between the source data field and its target. A simple example of this is when one buys a new Android Smart Phone. Having backed up the previous phone's data to the cloud, the user now wants to download that data (contacts, apps, files, photos, settings, etc.) to the new phone. All the user needs to do is to download the app he or she used to back up the files to the new phone, log in with his or her information, and the information will now be seamlessly downloaded to the new phone. Another example of data mapping would be near field communication. This allows a buyer's purchasing data to be remotely uploaded to a merchant's or store's network to purchase merchandise.
Data integration is the process of building and synchronizing data between two or more sources. Data integration is responsible for creating a bridge between an old data model and a new data model. Data mapping makes fostering this connection possible by ensuring that the data between models is made compatible and accessible for both. Data mapping is important for rectifying the differences between two or more data sources and their targets o ensure integration efficiency.
Overall, data mapping is an integral component of data building and maintenance, as well as a secure network.
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