Monday, May 11, 2015

Morning Workshops

W1: Hadoop Fundamentals

9:00 a.m. - 12:00 p.m.

Hadoop has forever changed the economics and the dynamics of large-scale computing, and its use among enterprises looking to augment their traditional data warehouses continues to grow. Join this workshop to explore the basics of Hadoop, including the Hadoop Distributed File System, MapReduce, and the budding ecosystem of Hadoop software projects. Learn bes practices for installing and configuring Hadoop in your environment, managing its performance, and developing Big Data applications.

Alex Gorbachev, CTO, Pythian

W2: Virtualizing Your Database for Performance

9:00 a.m. - 12:00 p.m.

The promise of increased efficiency and performance is inherent in the notion of virtualization. How to virtualize depends on whether you're looking at the physical infrastructure layer or at the underlying servers.

Janis Griffin, Senior Systems Consultant, Quest Software Oracle ACE

Afternoon Workshops

W3: Introduction to Data Science

1:30 p.m. - 4:30 p.m.

Data science, the ability to sift through massive amounts of data to discover hidden patterns and predict future trends and actions, may be considered the "sexiest" job of the 21st century, but it requires an understanding of many elements of data analytics. This workshop introduces basic concepts, such as SQL and NoSQL, MapReduce, Hadoop, data mining, machine learning, and data visualization.

Joe Caserta, Founding President, Caserta

W4: Moving to the Hybrid Cloud

1:30 p.m. - 4:30 p.m.

This workshop has been canceled

The hybrid cloud promises cost efficiency, scalability, security, and flexibility. Although the definition of hybrid cloud can vary, at its most basic, it involves blurring the lines between public and private clouds, between data kept onsite and that kept off site. Businesses intrigued by moving to the hybrid cloud need to know best practices in adopting the technology, migrating data from one cloud environment to another, and accessing resources in the hybrid cloud.

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BROUGHT TO YOU BY Database Trennds and Applications Big Data Quarterly


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