What is data migration? Data migration generally refers to movement, transferring, selecting preparing of data from one datastore to another. Data migration is the process in which a new system replaces the central system with the same database. Businesses need data migration services due to various reasons, which include new system implementation, system up-gradation, consolidation, and disaster recovery or data center relocation.
A data migration plan is necessary before the transfer of data. The data migration process is considered a challenge because the administrator has to maintain data integrity time so that there is minimal impact on the business and cost. The main issue of data migration is that every application creates complicated data management by introducing various types of elements of application logic into the data management process, and each one is different from next data use case — a business process in isolation and process the output in their own format.
Numerous factors to be considered during data migration, which are
- Know about the data you are migrating, where it is coming from and the form which it will take at its new destination.
- Before migrating the data, it should be extracted, transform, and have its reduplicate.
- Validate and test data to check its accuracy.
- Implementation of data migration policy to move data in an orderly manner.
- Entire data should be adequately audit and documented.
Categories of Data Migration
- Array-based on data migration between the same types of system.
- Network-based application migrates volumes file or data depending on their configuration.
- Host-based is considered best for specific types of application migration, used for platform upgrade, data replication, and file copying.
Standard Phases of Data Migration
The planning of data is based on the business, project, and technical requirements. Type of bandwidth and hardware is analyzed. Data cleansing and data transformation are required, which are gauged for data formats to improve data quality and to reduce or eliminate obsolete information.
It required hardware and software is validated. Data migration testing before validation may also occur to ensure requirements of the migrated data. In the process, primarily data extraction is done, data is read from the old system and data loading, here information is written into the new system.
This is the phase after migration of data, the result is subjected to data verification, to verify data is accurately transferred and is complete. During the transfer, there is a need to parallel run of both systems to identify that is no loss of data.
Types of Migrations
It is the process includes movement of a group of data, blocks of storage or files from one warehouse to another; it can be disk, tape or cloud. The data is moved to a more modern system to enable other systems to access it. It also offers faster performance and enabling cost-effective work; it features cloning, snapshots, and disaster recovery. There are numerous types of migration products and tools which help in making the process very smooth and assuring.
This is done when there is the necessity of a change of database vendors, upgradation of database software, or to move a database to cloud. There may be a possibility of compatibility problem during the data migration process, so it becomes essential to test operation first. Some key task includes checking database size to determine how much quantity of storage is needed.
It can occur when switching from one vendor to another platform or application. It may include moving the entire application from one premise to cloud, between clouds or moving application to a new form of application that is hosted by the software provider.
It is in a significant trend, as the migration is done between the clouds. The clouds provide flexible on-demand availability of data when needed. In many cases, it is storage migration.
Planning Of Data Migration
Migration of data includes three necessary steps:
- Extract data
- Transform data
- Load data
For moving critical sensitive data, proper care is to be taken. Having a proper plan is must, we can first check on numerous types of sample data migration process, plan and checklists online. A community of data migration specialist that has an outline of a different kind of process.
- Planning before migration evaluation of data which is being moved
- Analysis in the landscape creates data quality rules process and brief business on goals of the project
- Design of the solution to determine the type of data that is to move and check the quality of data before and after the move
- Building and testing coding the migration and test the migration with the ongoing production environment.
- Validate and execute to analyze whether the migration has done according to requirement and data is according to business purpose
- Monitoring and shutting proper disposal and close down of the old system.
The above process seems to be a very long and vast quantity of work, but all the process are not needed to be done forever type of data migration. Each type of migration is different, so the company handles it every of it in different ways.
Data Migration Services That We Offer
Various companies such as Microsoft, Google, Amazon are providing their user to migrate there personal data which include multiple types of data. For example, Amazon is using AWS data migration service, which helps you to migrate the database to AWS very quickly and securely. At the time of migration, with the help of minimizing downtime of application relying on the database, the source database remains fully operational to use.
AWS database migration supports various migrations such as oracle to oracle, which is done on comparable database and between other types of database systems such as oracle to Microsoft SQL to Amazon Aurora. With the help of AWS data migration services, you can continuously copy or replicate data at high availability at consolidating rate at petabyte scale.
Challenges Faced by Data Migration
NOT TAKING CARE OF DATA
The migration size of data can of any type, there can be someone who cares about the data you are moving. Check them out and tell them about the necessity of data and project and inform them about the impact that can be on them.
NOT COMMUNICATING AT A PROPER TIME
Once the project is explained to the stake person, make sure to update them about the progress of the project. Provide them status on a weekly basis, especially when the things are getting out of hand.
LACK OF GOVERNANCE OF DATA
It makes sure that the things which are rightful to create and edit or remove from the data.
LACK IN EXPERTISE
The task is very straightforward, but there can be very complex involving in the data migration testing process. So professional expert help should be taken so as go on duty very smoothly and effectively.
On average a person spends 10 to 15 hours time on preparing for vacation, while IT teams take as less as a half time of planning for small data migration. Hours of spending time do not guarantee that the task will be done successfully, but having a proper and solid data migration process plan saves time.
NOT SUFFICIENT DATA PREPARATION
Proper software and skill are needed when there is large migration, there is the necessity of investment in first-class data quality software and consideration of hiring a specialist. Hiring from a specific firm will also provide you with software rent, which helps in conserving cost and availing you with superior data migration services.
It necessary for the target waiting for perfect specs for the project increases the period of the process.
USAGE OF NON-APPROVAL MIGRATION METHODS
Sufficient research is needed to be done to be sure that the data migration process has worked well. Resist the dependency on a procedure that is only given by the vendor.
PROPER PROJECT MANAGEMENT
Both the project and suppliers must be properly managed. Make sure to check on the project and any related suppliers if you are busy also in daily work.
DEPENDENCIES ON OTHER OBJECTS
With the availability of technology and capability of various data management tools available today, it has become very easy to validate data but at some places still, now we can see a dependent dataset that was not included in the original plan. Cross object dependencies can prove very helpful to build a contingency for not throwing off the entire delivery date.
It is verifying the data migration process from the old system to new one with minimal disruption, which proper data integrity inspection and no data loss, and to ensure that all aspects of the application are functional and are same as post-migration.
Hence following things should be kept in mind while migrating from a legacy system to the new system.
Any type of disturbance or disruption caused due to migration to the user should be minimized.
To ensure that the user can access all the features of the software which he can use before migration, and there is no loss of data.
To pre-calculate or anticipate all possible hindrance and problems that might occur during the actual data migration process so to save time and loss of data.
To ensure proper and smooth migration by eliminating all defects, it is necessary to carry out-migration in the testing lab. The testing has its role as it played an important role when the data came out.