Big Data Modeling Challenges and Machine Learning with No Code

-by Karthikeyan Chinnusamy, Sr Principal, Data Architect, Veritas Technologies LLC (a leader in multi-cloud data management).

Agenda

6:30 Doors Open, Food & Networking
7:00 Presentation
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Event Details

What are the Big Data model challenges in today's field? With a few best practice recommendations and Machine Learning approaches, I will use Knime to show the modeling advantages for Big Data with the following themes:

.Performance: Good data models can help us quickly query the required data and reduce I/O throughput.
.Cost: Good data models can significantly reduce unnecessary data redundancy, reuse computing results, and reduce the storage and computing costs for the big data system.
.Efficiency: Good data models can greatly improve user experience and increase the efficiency of data utilization.
.Quality: Good data models make data statistics more consistent and reduce the possibility of computing errors.

I will also describe tools for Sources, Ingestion, Exploration, Modeling and Machine Learning.

Speaker Bio

Mr. Karthikeyan Chinnusamy, a Sr Principal with more than 25 years of experience in IT, product development, R&D and education.

He is a Fellow IETE, Fellow IE , Sr Member IEEE, Sr Member ACM,member of Project management Institute (PMI),reviewer and Editorial Board Member of R&D Journals. He is also a Board Member & Program Director of SF DAMA, an SME in Data Governance, GDPR, HIPAA Compliance, Data Management, Data Architecture, Master Data, Data Quality, Analytics and reporting in Payment processing, Customer, Finance, CRM and License domains. He is also a Mentor in SFDC Mig, Data.com, ERP, Architecture, R&D magazine, Embedded systems, VLSI, Adv Information processing.

Karthik has worked for many FORTUNE 500® on data management, including, Veritas, Symantec, Principal, Genentech, W3Global. As a faculty member, he has taught both Graduate and Undergraduate courses in Electronics, Computer Science Software Training and Development in SITECH. He was part of Image and advanced information processing, R&D TIFAC-CORE(Center of relevance and excellence ) and School of computing, SASTRA University.