Understanding data migration: Strategy and best practices
- 2.1 1. Pre-migration
- 2.2 Importance:
- 2.3 2. Analysis
- 2.4 Importance:
- 2.5 Strategizing
- 2.6 Importance:
- 2.7 Migration
- 2.8 There are mainly seven basic commands used, that can be defined as:
- 2.9 Importance:
- 2.10 Post-migration
- 2.11 Importance:
As being a digital era businessman, there is a requirement to keep the radically evolving pace for technology. There is so much pressure in order to enhance the efficiency, scalability & productivity of the business. Business owners have a number of reasons in order to migrate data & it has been seen that database migration is one breakthrough that can help to improve the business goals in the least time. Database migration is mainly occurring due to the underlying concern of losing the data. Challenges of database migration create a demand to bring out success in migration based project. This also requires overall database knowledge that starts with proper planning & ends with services of post-migration.
Introduction to database migration
Migration of data implies the data transfer from one platform to a new platform. In this, the data can be transferred from physical storage to cloud storage in order to make a scalable or reliable platform. To gain success in database migration implementation, there is a requirement to overcome the challenges which are related to the database identification at a different location. To offset the challenges, it seems to be important to follow the effective strategy of database migration.
Data migration steps
There are some important steps discussed below for the migration process:
The main aim behind pre-migration is to gain knowledge about the data-migration scope within an organization. This seems to be important for the service provider of database migration to understand the requirement & evaluate the purview of implementation. Besides the scope, the vendor also has a plan for the resources & time.
This step helps and offers a bird-eye view in order to check the process and activities that are going on. You can also evaluate the database migration time taken that can help the shift the business practices.
It is also to ascertain whether the IT disposal service is complete, before the final migration to Cloud. This ensures that there’s no physical equipment left in the server area. The basic idea is to make optimum usage of floor space, by performing ITAD services. Here, a specialist like “Dataknox” can come in real handy, if your company or business is based out of Newark CA.
After evaluating the database migration step, the analysis seems to be an important step, this step helps to evaluate the knowledge about the present database infrastructure & then plan to move out to a new or latest infrastructure. It mainly includes three sorts of questions which can be like: is it to be done through a local infrastructure of cloud, is it to be done in a scalable manner, is it to be done in order to reduce the complexity of data. After collecting the data, service providers can set the resources requirement and rules norms.
This step helps in evaluating the complexity & difficulty of the entire data migration process. In the identification of complexity, proper brainstorming & planning is done in order to offset the challenge in the primary stage.
After evaluating the requirements of database migration, this is time to evaluate the time taken flow for the migration of the database. This step evaluates the schedules & priorities of the migration in order to reduce the downtime of data transfer. Data migration is mainly of two types, Big bang that can be done only in one go. Another one is trickle migration that can be done in parts.
Big bang benefit is that it completes only in one stipulated timeframe whereas trickle migration can be performed in phases, hence it has several times for testing.
Proper strategizing helps in evaluating the overall time required in process of database migration. It can also assist in evaluating the efficient way for the implementation process.
This is the step where actual implementation can be carried out for database migration. After fulfilling the preliminary requirements be adequate, the development team is using the effective tools & frameworks as per the essentials script used for data migration. There are so many databases that are present for the business. A plan for database migration s mainly based on flyway type database migration that seems to be an open-source tool. This tool provides simplicity along with the convention-related configuration.
There are mainly seven basic commands used, that can be defined as:
Along with it, the AWS service of database migration seems to be reliable, low cost, offer supports, minimal downtime that can be used to migrate the database. It also offers heterogeneous, homogeneous, consolidation of database & replication services of database.
Migration can be defined as a real process to move out the data from one platform to another. In this, the service provider of database migration has ensured that there will be no data loss in order to transfer the data and offer secure transaction.
After accomplishing the step of database migration, there are still some underlying issues that exist on the surface. In this type of case, the best companies for services of database migration offer the services of post-migration in order to check the database migration process that can be carried out without data loss.
This process includes repair, validation, handling & testing of the process. The database seems to be fine-tuned up in order to check the application is ready to launch or not.
This step helps the developers to evaluate the issues that can be missed out during the process of migration. In this, a database can be prepared for the applications that are based on real-life.
How to resolve the challenges involved in database migration
1. Data loss risk
When data exists in the old database, it gets lost from the latest or new database without internal efforts by an external type of source, this can be defined as data loss. Data loss seems to be the most common challenge for database migration and there is a huge financial loss happen.
Reconciliation seems to be a very effective or efficient solution in order to evaluate data loss. Two folded reconciliations named as Count & column of key financial. Key financial columns help in check out the granular level for the problem and find which record got missing whereas count will help in comparing the stored records in the legacy database.
2. Semantics Risk
When there will be a different measurement unit between old & new data, they can be considered as different entities. In this type of case, it seems to be important to check that data is not lost.
Test cases scope should get widen in order to detect the semantic risks in the primary phase of migration. These test cases consist of points with incompatibilities between old & new migrated data.
3. Data corruption
Data corruption can be defined as a different format for the old system & new system. This is a very common issue in order to encounter anomalies & redundant data during the process of database migration. This will also increase the concern of data integrity challenges.
Data corruption can be done by evaluating by validating data from every column & row from an old to a new database. Three most common validation methodologies have been used, which can be defined as validation of sample data, validation of data subsets & validation for overall data set.
An appropriate decision to select the best strategy is important to make the database migration successful. If the road map for the migration is effective or appropriate, then execution will come up with the best outcomes. If in case of any discrepancy occur, there is a requirement to look for an expert who can help in order to prevent data loss. You can hire a skilled or experienced mobile app development company in order to handle the process of data migration with ease. We, at Mtoag technologies, undertake the deep process for database migration from the initial stage to finalization. We have skilled developers who validate the data and have been stored in a new sort of database to evaluate the data loss instance & corruption of data.