Building scalable enterprise digital commerce for a global pharma giant
Digital transformation around the e-commerce services across multiple geographies and business divisions for a globally leading pharma company.
In the present scenario, the field of data migration is very topical as the ever-increasing volume of data collected has driven the architectural migration from SQL to NoSQL database. With the growing popularity of big data, the relational database management system cannot keep pace with the velocity, volume and variety of data being created and consumed. This highlights the importance of NoSQL databases. However, different enterprises need to be updated about the steps that are required to migrate to these open-source databases.
Migrating from SQL to NoSQL
It is important to understand that successful migration from SQL to NoSQL requires careful planning. This is where NoSQL databases like MongoDB or Neo4j fail as they are so easy to work with that developers don’t bother to construct their data model. This leads to other problems going ahead. NoSQL databases better fit modern application development, and provide significant database performance and developer agility benefits, albeit at the expense of some functionality.
The important steps in the data migration process include:
e-Zest has been providing migration services for the past few years and has been smart enough to architect for scale from the very beginning, which means turning to NoSQL. For more related services on big data or NoSQL, please feel free to contact info@e-zest.com and understand how to make the best use of this opportunity to grow your business.
e-Zest is a leading digital innovation partner for enterprises and technology companies that utilizes emerging technologies for creating engaging customers experiences. Being a customer-focused and technology-driven company, it always helps clients in crafting holistic business value for their software development efforts. It offers software development and consulting services for cloud computing, enterprise mobility, big data and analytics, user experience and digital commerce.