Buck Woody works as an Applied Data Scientist at Microsoft on the Azure Data Team, and uses data and technology to solve business and science problems. With over 35 years of professional and practical experience in computer technology, he is also a popular speaker at many conferences around the world; the author of over 700 articles and eight books on databases, machine learning, and R; teaches and sits on the Data Science Board at the University of Washington, and specializes in data analysis techniques.

Sessions

If you want to learn how to make your business systems available then attend this session
Buck Woody, Microsoft's "Real World DBA" explain the new feature-sets in SQL Server 2008 and R2, as they apply to the data professional.
When your boss sends you to a conference, she expects you to learn something useful. Like all of the buzzwords she has to explain to her boss. Make it worth her while (and budget) and bring back the info she craves.
Presenting your ideas is essential – from a simple team meeting to a hall of thousands of listeners, it’s vital that you have this skill. But how do you make your presentations effective, useful and interesting for everyone.
Buck Woody will lead you around the Cortana Intelligence Suite showing you how to create intelligent actions from data.
In this session Buck Woody explains how Microsoft has implemented the SQL Server 2019 relational database engine in a big data cluster leverages an elastically scalable storage layer that integrates SQL Server and HDFS to scale to petabytes of data storage. You’ll see the three ways you can interact with massive amounts of data: Data Virtualization, Data Marts, and working with a complete Kubernetes Cluster in SQL Server. You’ll also learn common use case scenarios that leverage big data and the SQL server 2019 Big Data Cluster on-premises, in the cloud, and in a hybrid architecture.
What is the difference between Artificial Intelligence, Machine Learning and Deep Learning and how can each be used? Join Buck Woody cover simple, clear explanations for these technologies, how they can be applied.
Join this session if you are interested in the administration scenarios of the big data clusters, including tooling for monitoring, how to deploy and secure the environment, and to learn about the latest improvements.
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