Tuesday, September 29
Location: 3D 05/08
9:00am - 12:30pm
The data ecosystem has matured to the point where the pluses and minuses of distributed systems are clear, and best practices for building and managing both the human and the technical side of a big data program have emerged. Now is the time to step back and take a fresh look at the options. Whether starting a data science program, reaching the breaking point with your current data technology, or figuring out what the competition is up to, these sessions will give you a bird's-eye view of data technologies, techniques, and data-driven organizations.
Marie Beaugureau is the Lead Data Editor for O'Reilly Media.
Paco Nathan is a speaker/instructor/author (Just Enough Math, Intro to Apache Spark, and Enterprise Data Workflows with Cascading). Paco’s expertise/interests include machine learning, cluster computing, cloud, functional programming, Spark, Mesos, Cassandra, Kafka, streaming analytics, approximation algorithms, advanced math applications, Ag+Data, open data, Scala, Python, Clojure, R, NLP.
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