Having Problems Scaling Your SQL Database?

HBase allows you to build big data applications for scaling, but with this comes some different ways of implementing applications compared to developing with traditional relational databases. For example, in HBase you cannot do transactions spanning multiple tables. In this session, you will learn how, in some cases, to work around to implement transactions using HBase. We will explore real-world big data problems and talk about architectures, APIs, and key parts of HBase for developing efficient big data applications to solve these problems. We will go through some best practices and how to apply them, using demos and code.

Sridhar Reddy is Director of Education Services at MapR. He has extensive experience working with Java and JaveEE in many roles of the software development life cycle, including design, development, management, training and technology evangelism. He leads the Education Services organization and developed the HBase training course and also helps customers in building HBase solutions from migrating data from SQL databases. Prior to MapR Sridhar led a team of Java developers to build the next generation of the Java platform at PayPal. Sridhar worked as a Technology Evangelist at Sun Microsystems for over 10 years, where he presented at many Technical conferences world wide and helped increase awareness and adoption of Java technology in the worldwide developer community. While at Sun, Sridhar managed the JavaOne Hands-On Labs as well as Sun Tech Days, a worldwide developer conference. Sridhar holds a BS in Mechanical Engineering from Osmania University in India, and an MS in Co