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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Wednesday, May 18 • 3:00pm - 3:40pm
Analyzing Time Interval Data

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Analyzing huge amounts of time interval data is a task arising more and more frequently in different domains like resource utilization and scheduling, real time disposition, as well as health care. Analyzing this type of data using established, reliable, and proven technologies is desirable and required. However, utilizing commonly used tools and multidimensional models is not sufficient, because of modeling, querying, and processing limitations. In this talk, I present a tool (TIDAIS) helpful to analyze large amounts of time interval data. I present a query language and demonstrate some API examples. With time interval data, I will also share how time interval data plays a role in generating real-time user behavior predictions around interests and intent.

avatar for Philipp Meisen

Philipp Meisen

CTO & Cofounder, Breinify Inc.
I'm a workaholic visionary always searching for the next adventure to be mastered until success. My passion is bringing innovative ideas to life finding new ways on how to make the impossible possible. I've developed software and analyzed data for more than 15 years; different... Read More →

Wednesday May 18, 2016 3:00pm - 3:40pm PDT