Comment être résilient lors d’une migration de base de données ? (2024)

1. Identify the available migration window -- not just the duration but the "low business" period2. Confirm if you are doing a technology / platform or version migration. Migrating to a different technology (e.g Windows to Linux or vice versa) and migrating to a different platform (e.g. MS SQL to Oracle or vice versa) can be immensely more complex than a simple version upgrade.3. Identify or estimate the business benefits vis-a-vis the cost of the migration. Both may not be immediately visible -- they may accrue over subsequent quarters and years.

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To be resilient during a database migration it is very crucial to have following :1. Good analysis of the source and destination environment ensuring everything in place as per the best practices.2. Analyze the source database, capture all the database properties, logins, credentials etc.3. Decide on the migration tool and strategy to use depending on the size of the databases, network speed and downtime window.4. Prepare a roll back plan.5. Have a sign off of the migration plan and seek the acceptance from the customer.Having the well planned migration strategy, well defined migration steps and roll back plan in case of any issues and clear communication is a key duringa database migration.

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Starting a database migration with well-defined goals and a clear scope is crucial. This involves understanding the benefits and risks, setting clear expected outcomes and deliverables, and acknowledging constraints and dependencies. Effective communication and coordination with stakeholders and users are key. This initial step helps in setting realistic expectations, prioritizing tasks effectively, and avoiding scope creep. By laying out a comprehensive plan, you can navigate the complexities of database migration with clarity and purpose.

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Thorough assessment: Analyze your source and target databases to identify potential disagreements, data quality issues, and migration complexities. Develop a detailed migration plan that addresses these challenges.Testing and validation: Extensive testing throughout the migration process is vital. Test data extraction, transformation, and loading procedures at each stage to ensure data integrity and functionality.Backups and rollback plans: Have robust backup and rollback procedures in place to minimize downtime and data loss in case of unexpected issues.

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The success of a database migration hinges on the quality and consistency of your data. Conducting a thorough analysis of your source and target data to identify and resolve discrepancies is essential. Testing your data in a staging environment allows you to simulate the migration process and verify results. This preparation and testing phase is critical to minimize risks of data loss, corruption, or mismatch, ensuring a smooth transition.

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1. You may start test migrations with smaller data sets as POCs before you begin testing with "real volume" data2. Try to ensure that your test data includes "variability" (e.g. edge cases) or data that may cause failures or errors after migration3. Dependencies with other data platforms / applications must be tested -- particularly when you have one or more real-time incoming or outgoing feeds.

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Continuous monitoring during the migration process is vital. Utilizing tools and metrics to track the status, speed, and impact of the migration helps in maintaining control over the process. Being prepared to address issues such as network failures, compatibility problems, or security breaches is crucial. Effective monitoring and troubleshooting enable you to swiftly detect and resolve glitches, delays, or disruptions, ensuring the migration proceeds as smoothly as possible.

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If your destination migrated environment is in SQL Server 2016 and above, you can take the advantage of Query Store feature. If you are migrating from SQL Server 2016 and above to latest versions of SQL Server, you can use Query Store feature to collect the baselines after you migrate the database to the new version of SQL Server. Once you migrate the database, place the database in the old compat mode and enable the query store to collect the information and plans. This will make sure you collect all the queries and plans just like they use to run in older environment. Then later change the compat level of db equal to the destination env version. This will help in identifying any queries that doesn’t perform as expected after the migration

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Post-migration, it’s important to validate the functionality and performance of your database. This involves ensuring data accuracy and completeness, comparing results with baseline expectations, and confirming stakeholder satisfaction. Additionally, optimizing your database for performance and efficiency is key. Tuning parameters, indexes, and queries, and implementing maintenance and backup best practices are essential steps in enhancing the quality and value of your migrated database.

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1. Post-migration check all use cases of the data2. Check for performance outliers and identify ways to fix them (e.g. cost-based optimizer fixes / workarounds)3. Be careful to handle incoming / outgoing data feeds when validating data.

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Every database migration offers valuable learning opportunities. Reviewing and documenting the migration process helps identify strengths and areas for improvement. Evaluating feedback and applying insights to future migrations is crucial for continuous improvement. Sharing your experiences, findings, and tips with others not only contributes to your professional growth but also enhances the collective knowledge in your field.

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Document all issues encountered during the database migration, outlining resolution strategies and mitigation measures. The issue logs serve as a valuable resource, facilitating analysis, implementation, and updates by users for future reference and improvement.

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Beyond the technical and procedural aspects of database migration, it’s important to consider the human element. Effective team collaboration, clear communication, and strong leadership play significant roles in the success of a migration project. Sharing stories of past migration challenges and successes can provide real-world context and valuable insights. Remember, resilience during database migration is not just about managing data and systems; it’s also about managing people, expectations, and change.

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Don't allow external factors to get you flustered. Park that domestic dispute. Don't have that extra glass of wine for lunch. Make sure you get rest and exercise.Sit calmly, have a cup of tea. Talk with your friends and read a good book.

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Always be intentional in your DB migrations, and make sure your local/testing/development/staging environments are migrated using the same code you intend to apply to production. There's a lot of temptation to have migrations automatically generated by some tool. Some ORMs will even try to adapt to DB changes for you. Resist the urge to use these tools after prototyping, and try not to automate too much in this space. A migration is a process that should be written, tested, and validated by you and your team. There are tools like Flyway and Liquibase that can help to standardize these processes. Successful migrations are consistent processes and deserve as many business process considerations as they do technical ones.

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