What Are The Challenges in Moving Data At Scale – From On-Premise To The Cloud?

Many companies focus on deploying workloads in the cloud to streamline their business operations. The cloud platform has a dynamic nature that allows for scaling infrastructure to deal with changing requirements and ease various processes. 

However, migrating applications from on-premises to the cloud is challenging and requires careful planning and preparation. Here are a few challenges faced by businesses in moving data at scale to the cloud. Read on! 

Data Model Redesign 

Your company needs a specific type of schema for your data types. For example, Big Query uses RECORD and STRING, whereas AWS Redshift supports PostgreSQL. Likewise, Azure uses SQL, PostgreSQL, MariaDB, and MySQL. 

You may also have a specific set of data types, which might not be supported at all by these cloud platforms. It is crucial to update your data as the storage requirement increases. Although updating data is not costly, it is not easy to adjust the data model. That’s why you must maintain continuous synchronization between your data models as they change over time. 

High-Level Security 

Moving data at scale from on-premises to the cloud requires high-level security. It becomes essential for companies when their migration has gained substantial credit and momentum. 

Most often, it is challenging to handle permissions. However, it is an excellent opportunity to assign different groups and roles that require access to cloud resources. You must configure it correctly. 

For example, millions of users trust Azure for its high-level data security standards and protocols. Choose a cloud platform that offers the highest data security protocols. It becomes even more critical for industries or sectors like government, financial, and healthcare institutions. 

That’s the reason cloud platforms have certifications, such as HIPAA, ISO27001, SOC2, and PCI. Some cloud platforms do not offer authentication, authorization, and auditing, which becomes challenging for companies to migrate data securely. Security measures such as firewalls, identity management, and DDOS protection are essential. So, make sure the cloud platform offers these security services. 

Cloud User Acceptance Testing (UAT)

Companies moving data from on-premises systems to the cloud need to know that resources are not a limiting factor. You can copy and run systems effortlessly in the cloud, which is not trivial on-premise. 

Moreover, on-demand access to resources allows “cloud user acceptance testing (UAT)” of disaster recovery (DR) to expand beyond shutting down the primary node. Remember, you can face different problems, such as sabotaged networks and corrupted databases. 

Connecting Custom Data Applications 

It is challenging to connect custom data applications to the data store. Although you can maintain ODBC and JDBC drivers, they are not easily compatible with each other. If you want to change the database driver for your application, it will require various query parameters. 

For example, SQL Statements can lead to errors. However, other changes are not evident because different drivers can be used for small data conversions. These include handling NULL values, the time zone format of timestamps, and floating point numbers accuracy. Bear in mind that these changes will lead to data gaps, and you will need to perform thorough testing to detect them. 

Final Words 

Every company has its own challenges when moving data at scale from an on-premises system to the cloud. If you want to avoid substantial migration challenges, you can hire professional cloud services to effectively and securely move your data and apps. 

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