Hadoop opens up a range of possibilities to expand the analytics available to an organization, by allowing for application of various analytics techniques to new data types. Hadoop can also significantly reduce the duration of data wrangling, processing, and analytics cycles.
Join us as big data expert Madina Kassengaliyeva from Think Big reviews strategies to expanding analytics on Hadoop, such as:
- Architectural integration with existing platforms
- Skills and organizational readiness
- The importance of a vision and a clear path forward
Madina Kassengaliyeva - Director of Client Services, Think Big, a Teradata Company
Madina Kassengaliyeva is responsible for ensuring successful delivery of Think Big’s engagements – helping clients capture the value of adding Big Data technologies and methods to their businesses. Madina has led strategy, engineering and data science engagements in a variety of areas, including recommendation engines, customer interactions optimization, marketing analytics and compliance. Madina holds an MBA from the University of Chicago and a BA in International Studies from American University.
Register here to learn how to successfully add Hadoop to your analytics mix.
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