Data migration is the process of moving data from one system to another.
- Selecting the specific dataset to be moved from the legacy system to the new one
- Preparing it for transfer and removing it from the legacy system
- Transforming it to match the data requirements and specifications of the new datastore and to ensure the right metadata reflects the correct data
- Testing and validating the data to remove any duplicates. Isolate, fix, and remove corrupted data and perform tests to fix outstanding issues
- Loading the data into the destination system and conducting final tests
Data migration can happen for several reasons:
- Overhaul of an entire system, specifically new hardware solutions with greater storage and processing capacity
- Upgrading of databases to vendors with higher capacity
- An acquisition, merger, or restructuring demands data from one entity is merged with data from another entity to a new system
- Disaster recovery
Most data migrations occur today to enable on-premise database solutions to move to the cloud or to establish hybrid database systems.
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Application migration comes when you replace one application with another. Typically, it can involve changing vendors from a sales tracking or CRM software to another. It can include moving from an application on-premises to one on the cloud, or even to an application hosted by the software provider.
Cloud migration is the transfer of data from an on-premises system to a cloud platform, or from one cloud platform to another. It can be moving your data, an entire application, or even parts of your entire business to a cloud solution.
Storage migration is moving your data to a data store with a higher capacity for holding more data, enabling data replication, more sophisticated disaster recovery, operating at faster performance, or expanding from a monolith server to a distributed database system. It can also be done to achieve greater ease for scaling out and increasing your ROI.
Database migration involves moving your data from one database vendor to another. A legacy relational system can be discarded for a more modern version like NoSQL, Document, or Schemaless. Data will be moved to a newer database to take advantage of features like distributed data or nonrelational ACID that can only be found on the new database.
Business process migration happens when a company is acquired, reorganizes operations, or evolves its products and product groupings to reflect changes in the marketplace.
There are the three main challenges that must be met to guarantee the data migration process goes smoothly:
- Proper data governance. Make sure you have assigned the specific developers in charge of creating, approving, editing or removing data from each system. Only allow the appropriate personnel access to each operation.
- Lack of expertise. Data migration can be a complex process. It is essential to have people with experience in these matters on the migration team. You must have the right software tools to migrate your data, even taking on a consultant if the migration is massive.
- Lack of planning. Too little planning can result in disasters once the data is moved. It is vital to confirm that the plan you are implementing has been used before, either at your organization or with other organizations.
For years, RavenDB CEO Oren Eini was a consultant to projects that ran on SQL relational databases. Projects spanned industries as vast as car leases and nursing care facilities. Over and over again Oren saw the same problems using SQL databases.
This is the core problem that Oren decided to solve by developing his own NoSQL Document Database.
There are several common mistakes that negatively effect the complexity, performance, and efficiency of your applications. Using your own server, the cost is limited to time. Once you are on the cloud, every inefficiency will appear on your next month's cloud bill.
In this webinar, Oren shows you the advantages of migrating an application from a relational database to RavenDB. He will address the common challenges, moving your data store from your legacy system, minimizing costs, and more.
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