Though data fabric is not a mature technology, andno single vendor currently delivers all data fabric components, its potential benefits apply to different parts of the organization, such as: Business units —Enables nontechnical business users to quickly find, integrate, analyze and sh...
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Data analytics is all about better decision making. This complex process is performed primarily by data analysts and data scientists, but in some cases and with the right tools it can be done by non-tech staff as well. The process often starts with raw data, which is data mined, seeking...
If you wanted to create a two-dimensional matrix with customer name and any other field, for example, phone number), you would realize that there is only a one-to-one correspondence. The following table is an example of a database table with fields that have only a one-to-one ...
Learn about data governance and the set of principles and practices that ensure quality control of your data. Find data governance tools and software.
You can access all three what-if analysis options under the Data tab in Excel. What is a what-if analysis is also known as? What-if analysis is also known as scenario analysis or scenario planning. That’s because it lets you compare different scenarios in your business to help you make...
Data classification is the process of analyzing and organizing structured and unstructured data into categories by tagging data based on: File type Contents Metadata Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discret...
Common data classification steps Not all data needs to be classified. In some cases, it isn't necessary to retain data, sodestroying it is the prudent course of action. Understanding why data needs to be classified is an important part of the process. ...
Cloud migration is the process of transferring data, services, and applications to a cloud provider’s data center. It typically involves a detailed plan for backing up data, understanding network connections, and ensuring data security during the migration process. It also involves working with the...
Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data.