AN INTRODUCTION TO DATA SCIENCE
To understand data migration in data science, we essentially need to know how data science as a field of study can be defined. This field is a combination of several skills of programming, knowing mathematics and statistics, and so on, to make sure that meaningful data insights are extracted to apply machine algorithms to produce AI (Artificial Intelligence) systems to perform and fulfill the tasks which would have needed human intelligence. The insights which are produced by AI systems are mostly used in business and by analysts. Nowadays, the need for data science is expanding among industries and various organizations worldwide because it helps in efficiently using and implementing the data. 360DigiTMG the award-winning training institute offers a data science syllabus, and other regions of India and become certified professionals.ABOUT DATA MIGRATION
To understand how industries use, share, and implement this data, we need to look closely into data migration. “Data migration” is when the data are being moved from location to location, transferred from one format to another, or maybe from one application to another. The data migration process needs to be well planned and established, or a business without a strict drawn plan can face certain issues with the budget, and the results may not meet the expectations. Though the process may seem to be quite lucid and uncomplicated, it does need time to get loaded and transformed through several stages and functions, and then it finally reaches the target location. Don’t delay your career growth, kickstart your career by enrolling in this affordable data science training in Bangalore with certification with 360DigiTMG Data Analytics course.WHY THERE IS A NEED FOR A DATA MIGRATION STRATEGY
Though there are several reasons why data migrations are done, the main focus remains on enhancing competitiveness and improving the quality of performance. A complete migration strategy can make the data safe from any problematic issues. By planning it and making it follow a particular strategy, the attention at first would only remain on the migration. It would certainly not get overlap with any other projects, as per concerned. There is more than one particular way of planning a strategy, but either way, most of those strategies fall into only two categories: the “Big Bang Migration” strategy or the “Trickle Migration” strategy. Big bang migration needs relatively less time to transfer the data to the final location, but the pressure remains intense as one of the resources is being operated offline. While on the other hand, the trickle migration process takes time because it makes the data being transferred go through several stages and phases to reach the final location. Though this type of design is complex, there remain fewer chances of risk. Also, check this data science course with a job guarantee in Hyderabad to start a career in Data Science.TYPES OF DATA MIGRATION
- DATABASE MIGRATION: databases are storage systems where data are stored in a very organized manner. These databases are managed through DBMS (database management systems), which involves migrating data from one DBMS to another or the latest version of the DBMS.
- STORAGE MIGRATION: this type of migration is done when a business migrates data from a particular storage location to another, which means, the migration of data from one physical medium to the other one. It upgrades the data and helps it to be loaded from paper, tapes, and hardware storage systems to digital, hard disk, and cloud-based storage systems.
- APPLICATION MIGRATION: application migration usually happens when an organization or a company wants to go through a change in the application software.
- CLOUD MIGRATION: this type of migration means when the data are being migrated to cloud-based storage systems from the on-premise locations. According to IT experts, most of the data is migrated to mostly cloud-based storage systems.
- BUSINESS PROCESS MIGRATION: this particular type of migration system is needed because of the business applications and data which are to be migrated to a new location.
- DATA CENTER MIGRATION: it means when the data center is being shifted to a new physical infrastructural location from the old center. The things which are to be shifted are not only the data and the applications but also include servers, network routers, computers, other storage systems or types of equipment, and so on.
SOME FOREMOST PRACTICES TO KEEP IN MIND FOR DATA MIGRATION
The following are some important practices that one should keep in mind while migrating the data:- Having a backup of the data. During the migration process, if something goes faulty or out of control, there would be chances of losing the data that the company or industry cannot afford. So checking beforehand and having a backup of the data is much more important.
- Having to stick to the strategy as per plan. Mostly, when the process either goes too smoothly or faces any problematic issues, the migration process or strategy changes are being planned at the last moment, which, in turn, creates more obstacles. Though the processes may seem a little bit frustrating because of the complications, one still needs to stick with the plan.
- To test. While planning the strategies and the designs for the migration, the migration of data should be tested repeatedly while having strict maintenance to ensure that the expected outcome is achieved.
- To check that the data which is being transferred should be of the right size, or else it might create issues.
- Before migrating the data, cleaning can help in ensuring that there remain no issues and only the useful data, with its improved quality, is being transferred to the final location.
RISKS REGARDING DATA MIGRATION
Losing the data. While transferring the data, if any problematic issues occur, the whole data might be lost. So having a backup of the data is quite important for companies.- Migration time. Transferring or migration of data may take a long period, as it needs to go through several phases and stages to reach the final place. Also, sometimes problems regarding internet and network connection time can be prolonged. The process might be completed in several months, but it may also take years to be transferred.
- To make sure that the data is encrypted before any migration process.
- Time has an essential role regarding budgets. The prolonged period can create problems regarding budgets and financial challenges.
IN SOME CIRCUMSTANCES WHERE DATA MIGRATION IS REQUIRED
To replace any data with another one, to expand the storage system, or to upgrade any data.- If firms move to cloud-based storage systems from a local storage system.
- Website consolidation.
- To help in the maintenance of the infrastructure.
- Data center relocation.
- To install any new system to coexist and augment the existing applications sharing the same database.