July | 2016
The growth of data, and its variety and velocity, is a double edged sword. On one hand, no business can risk ignoring the intelligence that lies within their data and on the other, they must invest in new ways to manage their data. The flood of data is crippling the existing database management systems (DBMS). Not only is the nature of data changing, but there is radical change in business processes too. There is no escaping the fact that there is an urgent need to transform data platforms. Database vendors are coming up with solutions in the form of sophisticated, fully-loaded data appliances, pre-packaged with OS, database management systems (DBMS), memory, storage, analytical engines, services and support. The fact that these boxes place the data in close proximity to the analytical engines ensures that the data does not need to be shipped and time cycles are reduced.
Although more expensive than traditional relational database management systems (RDBMS), data appliances offer an effective solution to the data problem. However, the very cost of these appliances is also forcing organizations to migrate their data from one platform to another platform either on premise or to cloud based solutions. In these instances, organizations are wary of migration. They think it is too risky, it will require in house expertise (that is scarce) or it will result in down time that is hazardous to the business. These concerns are valid - to different extents but they cannot become barriers to what is inevitable transformation.
The focus of an organization should instead be on asking the question, "Am I a candidate for transformation?" You are, if your goals include:
The key is to see if you fit into any of the above. The rest depends on how you plan and execute the migration of data to new systems. Speaking to experts in database transformation should be your first step. A quick conversation will help understand how to engineer a safe, secure and controlled transformation that actually ends up providing you a better handle on your data. But can you avoid the eventuality? We think not.
Suvakanta Mohanty is Practice Lead for Database & Architecture Tower - Data Warehouse & Appliance Practice in Wipro Analytics
Suvakanta has more than 19 years of experience in IT Industry and worked different areas of Database technology led transformations in Wipro. He is a hard core Database Practitioner and deeply involved in almost every aspect of the Database & Data Warehouse Architecture and served with various Customers across a broad range of Industries such as Manufacturing, Pharmaceuticals banking and Retail & High Tech. He has been providing Data driven strategic insight to Customers as well as helping Accounts across WT to develop Scalable and robust Database solutions to meet high performance applications. He has been leading enterprise level end-to-end Database solutions as well as various Data Management strategies for strategic accounts as well as involved in modelling, implementing, debugging and performance tuning of Big Data systems. Has also extensive experience with the Database Design, Development, & Implementation of both OLTP & EDW Applications. Prior to Wipro, he is having significant experience with leading global outsourcing and product consulting firms like Manhattan Associates, & Virtusa on areas of Product Architecture, System Architecture and Information Architecture. Suvakanta holds a Master's in Computer Application from Nagarjuna University and has a Bachelor’s degree in Mathematics.
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© 2021 Wipro Limited |
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