Top 5 Challenges in Big Data Migration and Ways to Overcome Them

TechnologyTop 5 Challenges in Big Data Migration and Ways...

Does ‘Data Migration’ send shivers down your spine?

For many, getting a draw of 25 in Uno is better than completing a data migration.

As a CEO committed to data solutions, I understand that data migration challenges often put stress in the hearts of data teams.

For the same reasons, I have hand-picked a list of solutions for all your migration challenges.

So, let’s get started.

What is Big Data Migration, and Why is it Needed?

Data migration is the process of transferring data from one location to another in one go. The transfer usually takes from an on-premise system to a new system, such as the cloud.

Big Data Migration is fast, less complex and less expensive. It brings many promises of relief for data analysts, but migration always comes with nightmares.

There are numerous reasons for businesses to perform data migration. Apart from data exploding out of their current systems, businesses are migrating because,

  • They want to expand their business
  • They want to upgrade with the latest technologies
  • They want to adopt cloud computing
  • They are looking for better security options

But, the most important reason businesses are migrating is the explosion of data around the globe. By the next year, i.e., 2025, the global data volume will approximately be more than 180 zettabytes. Isn’t it alarming?

We at Augmented Systems understand the dilemma you face, which is why we have enlisted the top 5 data migration risks and solutions to overcome them. Let’s make your migration smooth and successful.

5 Common Big Data Migration Challenges and Their Solutions

Exploding data and straining systems are common for today’s businesses. Big data migration has many merits, but what is data migration without any hurdles?

Data migration risks are difficult to tackle, often bringing a threat to your data. But, there are data migration strategies (when utilized correctly) that can help you ensure a seamless transition.

So, dig in, as I’ll help you easily navigate your data migration process with the following solutions.

1. Data Loss

Data loss during migration occurs when data or information is lost intentionally or unintentionally. Imagine you are migrating your business data, and some crucial information gets lost during the move.

Here’s what you can do to prevent this data disaster.


  • Before starting your migration process, ensure that you backup your data.
  • Reduce the risks of data loss with incremental data migration techniques, i.e., move your data in phases.
  • Finally, compare and rigorously verify the source and target data post-migration.

This missing information or data loss during transit can leave you with incomplete records and hinder your overall business operations.

  1. Semantics Errors

In simple terms, data semantics errors mean your data getting lost in translations. You might feel that everything is perfect after the big move, but something might be missing.

For instance, say your legacy system has a field called “total,” but that field lands in the wrong location on your new systems during the transfer. Now, you are confused when searching for it. This confusion is called a data semantics issue.


  • First, understand data structures and relationships by conducting thorough data profiling.
  • Second, use detailed data mapping and transformation rules to ensure semantic consistency between the source and the target systems.
  • Finally, perform tests to verify that you preserve data semantics during the migration.

The semantics errors can jumble up your data, create inaccurate reports and expand data gaps.

3. Downtime

Downtime during migration is the amount of time your system remains closed. This data migration risk happens when the migration process takes longer than expected.

It may result in business loss, leading to productivity issues and overall revenue loss.


  • Select a migration process with minimal downtime
  • Implement a phased migration strategy
  • Plan data migration during off-peak hours to reduce operational hindrances
  • Use replication or data synchronization tools between the legacy and target system

Minimizing downtime during migration can be tricky. But it can certainly be avoided with proper planning and execution.

4. Data Security and Compliance

Another common data migration risk is data security and regulatory compliance. To avoid breaches and legal issues, you need to protect your data and ensure regulatory compliance.

Compromising your data can be a big loss for your business. All your crucial information may get exposed to third parties. To minimize this risk, build a data security strategy for your migration strategy.


  • Implement robust security and encryption features for your data.
  • Use strict access controls to protect your data from unauthorized users
  • Conduct compliance audits so that the migration process meets all regulatory requirements.

Protect your data during the move because you cannot risk your entire business to third parties or cyber criminals.

5. Scalability

Imagine all your belongings stuck in a small room. What if you face the same with your data? As your business grows, it is evident that your data will grow. If the new system doesn’t offer scalability for your data, it can be a big migration risk.


  • Consider scalability when you design your new system or plan for data migration. Distributed computing and scalable storage solutions can help.
  • Conduct performance testing through composable systems to verify that the new system can handle big data
  • Select software and technologies that scale with your expanding business

So, for long-term success, you must ensure the new target system offers scalability for your growing data and business.

Tackle data migration challenges head-on with smart planning and powerful solutions. If you are unsure about the transition, hire data migration consultants and experts.


Ditch the data jitters because moving your data should not be a nightmare. With the right data migration strategies, you can navigate the complexities of data migration successfully.

Want to effortlessly move your big data? Contact us today and make your data migration feel like a breeze with experts at Augmented.

Co-Founder & CEO

The CEO of Augmented Systems, Kandarp Patel, has a rare blend of outstanding leadership abilities and database system knowledge. Our cutting-edge IT solutions company has reached new heights of success and continuously produces excellent outcomes under his strategic direction.

Thanks to Mr. Patel’s inspiring leadership, our team is able to push limits and generate groundbreaking ideas. In the constantly changing world of technology, Augmented Systems flourish because of our CEO’s persistent dedication to quality.

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