How cloud migration can drive growth for enterprises

Back when the buzz around big data was starting to take shape, and advanced data analytics were only present on the books, data storage used to be the greatest of all concerns for businesses who wanted to extract value from their data. Since then, we have come across the distributed file system, parallel processing models, legacy data lakes, and the cloud. Each new development has some advantages over the previous one, and each time, enterprises have been hard-pressed to decide – to move or not to move.

How cloud migration can drive growth for enterprises

Things become easier for business users when they have clear case studies and objective value propositions favouring a certain technology. Every business in the world is a technology business owing to the internet of things. Hence, not updating is not an option. This article helps you with a clear picture of what cloud migration brings to the table.

The legacy trap

The volume and variety of data that enterprises deal with daily are quite incredible compared to how things were a couple of decades ago. As a result, legacy systems, in most cases, feel dated and fall short of the task. Let us look at some problems businesses face.


Setting up a data warehousing architecture takes time, effort, and a lot of investments. In an era of dizzying speed in technology development, that sort of commitment to a data warehousing system is hardly a good idea. The technology dictating your warehouse architecture may just become obsolete by the time the storage system gets up and running.

This is often referred to as the legacy trap. You spend a lot and gain very little in this approach.

Data lake as a solution

Data lakes emerged as an answer to the unmet needs of data storage capabilities. Data lakes could ingest data from a wide variety of sources and in a wide range of formats. Engineers can clean and prepare data, be it structured or unstructured, for further analysis, within the data lakes. It gave enterprises enough reasons to get excited. However, legacy data lakes come with a lot of maintenance cost and a fair amount of technological burden.

The problems statement on data lakes

Data lakes are fantastic, but they need maintenance and management at a regular and robust rate. If you keep your data lake unmanaged, it turns into what we call a data swamp. It becomes impossible to see what lies beneath the surface, and all the data you were trying desperately to save and salvage die in vain.

Cloud adoption

Migrating to a cloud-based data management solution is on the cards for a lot of enterprises. They want to focus on running the business and pass the onus of managing and maintaining their data to largely automated cloud-based systems.

However, certain practices ensure a successful implementation whether you are performing an AWS migration or an Azure cloud migration.

From writing the raw data onto the cloud-based data management system to securing the data, every step must be planned and implemented with planning and dexterity. You want to make sure that steps like data ingestion, data cleansing and preparation, data validation, data sharing, and security are all taken care of.

The benefits

You save two important resources – time and money. Migrating to the cloud reduces your investments in architecture and maintenance. It also significantly decreases processing time and delays in backup and sync. It does not leave any scope of complaint in terms of performance and security. Maintaining redundancies also becomes much easier than on-premises storage systems.

With the scalability and ease of access that cloud data lakes provide, running data analytics becomes much easier. Even if you want to leverage unstructured data through machine learning algorithms, the cloud provides the right platform to do it.

The bottom-line

As data leaders and business users, your job is to find out the platform that suits the growth vision of your business. You cannot just think about what is working today. You must envision the possible turns of events in the future. Go for scalability, security, and performance. Go for cloud migration. Or at least prepare your organization for the same, for it is inevitable.

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