Big data is the lifeblood of most modern businesses. There must be well-established, seamless data migration processes, whether data moves from inputs to a data lake, repositories to a data mart, or in or through the cloud. Without a solid data migration strategy, businesses risk budget overruns, overburdened data processes, and underperforming data operations.
Data migration specialists have a wide range of career options. Experts in data migration are in high demand and pay well. Data migration is also a very competitive field. During an interview, you are likely to be surrounded by experts in migration. Without adequate preparation, it can be a difficult time. Isn’t that scary? Don’t be afraid!
The good news is that you can easily prepare for such hiring processes. Get a glimpse of the most common data migration interview questions, and you’ll be better prepared.
Time to walk through the questionnaire whether you are a self-learner or a graduate of the Data Science Program. Let’s begin!
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Data Migration – Tell me about it?
It is the systematic process of transferring data between systems. Even though this may appear to be a simple task, it requires a change in storage and databases or applications.
ETL (Extract, Transform, and Load) is a procedure for moving data from one location to another. It means that extracted data must first travel through a set of functions before being loaded into a destination location.
Data migrations are carried out for many reasons. For example, upgrade databases, create a new data warehouse, or combine data from the acquisition. Data migration is also required when replacing an existing system.
Why is a Data Migration Strategy important?
When it comes to data migration, it’s always a good idea to focus on improving performance and competitiveness.
You must, however, get it exactly correctly the first time.
Migrations that don’t go as planned can result in erroneous data that contain redundant information and unanswered questions. Even if the original data is beneficial and acceptable, this can still happen. In addition, you can exacerbate any problems with the actual data by transferring it to a new, more sophisticated system.
They are avoiding substandard data migration results in far fewer problems than it addresses thanks to an organized approach. Migration efforts can fail if they are not properly planned out in advance. When planning and strategizing, migrations should not be subordinated to larger projects with an enormous scope.
A data transfer strategy must incorporate a step-by-step process for acquiring the necessary software and equipment.
Top Data Migration interview questions with answers
Q1: What are the steps in a data migration?
Ans: Every professional should be familiar with six crucial data migration processes. Before defining and designing the migration, one must first study and analyze the data. Third, develop a migration solution to ensure that you do it right. The next step is to conduct a live test, followed by a final one. Auditing, the final stage, verifies that the migration was accurate.
Q2: Is data migration significant?
Ans: Data migration is vital since it helps with server and storage hardware upgrades and consolidations. It is essential to have a well-established infrastructure when adding data-intensive applications, such as data lakes, warehouses, and databases. Visualization projects of this scale also require it.
Q3: Mention the difference between ETL and data migration?
Ans: The goal of data migration and ETL is to move data from one location to another. There is a big difference between migration and ETL regarding data type.
Q4: What are some of the data migration challenges?
Ans: Many issues arise during a data migration project, such as:
- Lack of familiarity with the data source
- Making the data analysis process more difficult
- Integration processes are being utilized inefficiently.
- The absence of a sound data migration plan
- Teams working together less or not at all
- Inadequate utilization of data migration knowledge and expertise
Q5: How to ensure data integrity during migration?
Ans: Data integrity can be ensured during the migration process using the following methods:
- Providing a high standard of quality
- Keeping track of the audit logs
- Creating process diagrams.
- Identifying and addressing security risks during the migration process
- Using software to identify and correct errors.
Q6: Explain the data migration process in the SQL server?
Ans: An SQL server data migration typically includes four steps.
- Extracting data from a source to a middle
- Changing data formats to match the destination
- Data cleansing and aggregation
- Processing cleansed data and aggregated data into the desired database
Q7: What are the things to consider in a data migration plan?
Ans: During migration, we must keep an eye on the following:
- Auditing the source database is critical.
- Cleaning the dataset is required for migration.
- High-performance migration strategies must maintain data integrity.
- During data movement, auditing and governance should be parallel.
Q8: Tell me, what is partitioning in Data Migration?
Ans: Partitioning is the division of transactions. It is widely used in data migration. The most common partitioning methods are severe and round-robin. They speed up the data migration procedure overall.
Q9: What is an operational data store?
Ans: The operational data store is a storage layer between data staging and warehousing. The functional data storage contains data with low granularity.
Q10: Do you know the techniques used on Data Migration?
Ans: The primary data movement strategy is extracting, loading, and transforming (ETL). There are ETL technologies that can handle sophisticated data migration requirements. They help manage extensive data, integrate systems, and profile data.
Q11: What does data cleansing mean in a migration process? Why is it vital?
Ans: Data cleansing involves identifying missing or incorrect records in a dataset and updating the columns and tuples. Cleaning is essential in data migration since it improves database quality and efficiency.
Data migration is a challenging task that requires extensive planning. If you’re seeking a career as a data migration consultant, these suggestions summarise frequent interview questions.