Business Intelligence Technology Trends: CSI Pune Lecture – 30 Jan

Computer Society of India – Pune Chapter presents the 4th lecture in a series on Data warehousing. The first lecture gave an overview of BI and DW. The second lecture was about how these techniques are used by businesses. The third was about data management for business intelligence. This is the fourth in the series:

What: Technology trends in Business Intelligence by Prasad Kulkarni of SAS R&D India.
When: Friday January 30th, 2008, 6:30pm to 8:30pm
Where: Damle Hall, Damle Path, Behind Indsearch, Off Law College Road
Registration and Fees: Free for CSI Members & Students, Rs. 100 for others. Register here.

Details – Technology trends in Business Intelligence

This lecture will cover technological advances in BI domain. It will start with a discussion on general trends in BI and will relate them to technology. Primary focus is on different technologies used currently, their necessity and type of problem they are solving in the business intelligence domain. It will discuss areas like SOA (Service oriented architecture), SaaS (Software as a service), MDM (Master data management), Real time warehousing, Click stream data warehouses, Federated/integrated search, Web 2.0, Data visualization and so on. The participant will know how such technologies are solving problems specific to BI domain.

It is not necessary to have attended the previous lecture.

For more information about other lectures in this series, and in general other tech events in Pune, see the PuneTech events calendar.

About the speaker – Prasad Kulkarni

Prasad Kulkarni is working with SAS Research And Development India Pvt. Ltd for past 8 years as Associate Director – Platform Research and Development. He leads the core technology group at SAS R&D Pune. Prasad holds post graduation degree in computer management from University Of Pune and has 12 years of experience in the field of information technology. He has worked with product development setups in India. With SAS his focus areas are Metadata Management, Data Warehousing, Data visualization and Data access.

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