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Sprint’s Data Modernization Journey

Date
30 November 2017
Time
11:00 AM PT
Duration
1 hr

Sprint, being one of the largest telecom organizations in the US with over 60 million subscribers relies on analytics and insights derived from their vast data landscape to drive better customer experience, improved business operations and detecting fraud. Modernizing their data platforms turned into a key strategic undertaking with several complex parameters related to ingesting billions of records in a continuous cycle from hundreds of feeds coming from various operational systems, storing massive amounts of data in 100s of terabytes per day and provisioning the data in a timely manner to support several business analytics patterns.

 

A conventional approach with traditional technologies could not provide a comprehensive solution and would lead into a patchy and fragmented approach which is not scalable, suffers from several points of failure and creates maintenance challenges. Additionally, upgrading existing technologies would be a cost prohibitive endeavor.

 

In this webinar, we will hear from Mark McKinney, Director – Enterprise Data Analytics at Sprint about the business drivers, key success factors, and challenges faced while undertaking Sprint’s data modernization journey. You will hear how Sprint set about establishing a Hadoop data lake, ingested data from multiple environments, and overcame key skill shortages. You will also hear from Diyotta and Hortonworks about best practices for modernizing your data architecture to support transformational business initiatives.

SPEAKERS
Mark McKinney
Director, Enterprise Data Analytics - Sprint
Sanjay Vyas
CEO & Co-Founder - Diyotta
Piet Loubser
VP, Product & Solutions Marketing - Hortonworks

Register For The Webinar

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