Principal Consultant, Analytics Practice, Wipro, Ltd.
Pon Prabakaran Shanmugam is a Principal Consultant with Wipro Analytics practice. He possesses exhaustive data architecture experience in the Financial Industry with strong data modeling, integration and analytical skills, and is an enthusiastic agile modeling proponent. He is also a strong believer of embracing open source technologies to make data architecture flexible and evolving.
Posted by: Pon Prabakaran Shanmugam | May 10, 2017
One of the critical factors that influence decision making when it comes data project initiative is the additional infrastructure that needs to be housed in the data center.
Posted by: Pon Prabakaran Shanmugam | February 10, 2017
Data architecture, similar to Application or Infrastructure architecture has been evolving rapidly due to innovation and speed of adoption.
Posted by: Pon Prabakaran Shanmugam | October 12, 2016
The importance and significance of a data warehouse is a topic which is not discussed in the technology forum anymore as almost every organization – small or big – understands the business value that the data storage and analytics platform brings.
Posted by: Pon Prabakaran Shanmugam | February 24, 2016
The emergence of cloud computing and integration patterns is not only disrupting existing integration nomenclature but also makes us rethink the way we do integration. When the rest of the enterprise architecture is being taken by micro services based architecture storm, one aspect of enterprise architecture which is still not disturbed is the data warehouse architecture.
Posted by: Pon Prabakaran Shanmugam | September 30, 2015
The Data Modeling as a trade has been practiced in the IT world for many decades. As a concept, data model is a process to arrive at the diagram by exploring the data in question and getting a deep understanding of the data.
Posted by: Pon Prabakaran Shanmugam | September 21, 2015
A recent trend that we see emerging in the data warehousing marketplace is the continued integration of data warehouses into the enterprise IT infrastructure. The need for integrated store of detailed data available – for both tactical and strategic business decision making – is finding wider acceptance across industries today.
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