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Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. . Additionally, the validation of migrated data for completeness and the decommissioning of legacy data storage are considered part of the entire data migrati
Interactive data transformation (IDT) [13] is an emerging capability that allows business analysts and business users the ability to directly interact with large datasets through a visual interface, [9] understand the characteristics of the data (via automated data profiling or visualization), and change or correct the data through simple ...
A schema migration is performed on a database whenever it is necessary to update or revert that database's schema to some newer or older version. Migrations are performed programmatically by using a schema migration tool. When invoked with a specified desired schema version, the tool automates the successive application or reversal of an ...
This process involves transferring data, applications, or workloads from one cloud environment to another, or from on-premises infrastructure to the cloud. Cloud migration can be complicated, time-consuming, and expensive, particularly when there are compatibility issues between different cloud platforms or architectures.
Backup: email migration is performed to back up or preserve data, for example, to ensure legal compliance. Coexistence: email migration is performed for evaluation purposes, for example during a migration pilot. Upgrade: email migration is performed to facilitate an upgrade, for example when deploying a new version of an email system.
A data steward is a role that ensures that data governance processes are followed and that guidelines are enforced, and recommends improvements to data governance processes. Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data ...
The Fourth Paradigm: Data-intensive Scientific Discovery is a 2009 anthology of essays on the topic of data science.Editors Tony Hey, Kristin Michele Tolle, and Stewart Tansley claim in the book's description that it presents the first broad look at the way that increasing use of data is bringing a paradigm shift to the nature of science.
For Dummies is an extensive series of instructional reference books which are intended to present non-intimidating guides for readers new to the various topics covered. The series has been a worldwide success with editions in numerous languages.