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Private and Open Data in Asia: A Regional Guide.
The Telecom industry is catching on to the fact that collection of data and application of analytic methods can provide enormous value.
In this tutorial, attendees will get a taste of how large-scale data science techniques and technologies developed for the consumer internet can be applied in the world of Telecom.
In this tutorial attendees will learn how to:
Juliet Hougland is a data scientist at Cloudera and contributor/committer/maintainer for the Sparkling Pandas project. Her commercial applications of data science include developing predictive maintenance models for oil and gas pipelines at Deep Signal and designing and building a platform for real-time model application, data storage, and model building at WibiData. Juliet was the technical editor for Learning Spark by Karau et al. and Advanced Analytics with Spark by Ryza et al. She holds an MS in applied mathematics from the University of Colorado, Boulder and graduated Phi Beta Kappa from Reed College with a BA in math-physics.
Sandy Ryza is a data scientist at Cloudera focusing on Apache Spark and its ecosystem, and a co-author of Advanced Analytics with Spark (O’Reilly Media). He is a frequent Spark contributor and member of the Apache Hadoop project management committee. Sandy graduated Phi Beta Kappa from Brown University.
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