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Data migration trends reflect pain points and opportunities in data management. In our modern, data-driven economy, data managers face the challenges of rapidly growing data repositories and the need to replace legacy data storage solutions. These challenges force data migration to new solutions capable of handling more data. Meanwhile, the value of data mining demands data scientists' ever-increasing access to data, as well as the ability to examine data in detail to extract deeper insights. The types of data also change as the Internet of Things (IoT) includes new sources such as video, audio, and sensor data. Some older solutions that may have additional data capacity will not be able to handle new data sources. This inconsistency provides another force for the adoption of data migration tools. Also Check:   10 Security Considerations in Mobile Application Development 5 Trends in Data Migration Companies progress at different rates and will migrate for different reasons. The fi...

Data migration is a one-time process of moving internal data from one storage system to another; This may involve preparing, extracting and, if necessary, transforming the data. This may sound like data replication or data integration, but each process is different. Data replication is the periodic copying of data from one data source to one platform to another, whereas data integration combines data from different sources into a data warehouse destination or analysis tool. Projects that require Data Migration range from upgrading servers to moving to a new data center and launching a new application to integrating the resources of the newly acquired company. Ideally, moving data to a new platform, location, or architecture can be accomplished without any data loss and with minimal manual data manipulation or re-creation. Types of Data Migration Tools Organizations can write their own data migration scripts or use on-premises or cloud-based tools. Self-Scripted Data Migration is a do-...