data cloud

Business should always strive to provide a high-value consistent experience or run the risk of losing customers. To deliver this experience, more businesses are leveraging big data technologies. But big data transformation is difficult and the most effective way to tackle this challenge is through “the cloud.” But then you also have to deal with the challenges of using it.

What are the Challenges?

There are many benefits to leveraging the cloud — competitive advantage, reduced IT costs, ease of integration, reduced security risks, and the ability to develop fresh insights and customer applications. On the other hand, shifting big data to the cloud comes with specific challenges, particularly security, integration, legacy, and skills.

How could you deal with these challenges? Below are some guidelines.


This is a huge concern for businesses that deal with proprietary and confidential data or are required to adhere to stringent compliance and security requirements. Consider a private, single tenant cloud solution that offers personalized encryption to give you the capabilities of big data but in a dedicated and more secure environment.


This could be quite challenging if you have a more complex and diverse data ecosystem. That said, you need to analyze your data pipeline thoroughly before choosing a specific technology to minimize the risk of building incompatible systems and fragmented data.


The main concern here is data migration that typically involves either one of these three:

  • Retiring legacy data – Consider leaving your existing data where they are, which is your legacy systems, and sending new data to your new cloud platform so you won’t have to deal with data migration.
  • Lifting and shifting – Move only existing tasks to cloud SaaS to make the most of its network, storage, and compute capabilities. As an experienced full stack developer for big data noted, you won’t have to do application rewrites and related tasks.
  • Transforming complex data – This is probably the most difficult since it would involve a complete overhaul of all data-driven apps. However, you might need to do this if your apps are nearing their end-of-life.
  • Skills: Implementing big data would require the skills of many, competent individuals. Consider selecting a vendor that could offer these capabilities and has experience with managing complex big data cloud environments.
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Many businesses are already leveraging big data technologies. Those that could harness it effectively could become industry disruptors, while those that couldn’t might be at risk of lagging behind. Instead of worrying about the challenges you would no doubt need to overcome, get the right people for the job.