Personal schedule for Krishna Sankar
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Databases
Location: D135
Please note: to attend, your registration must include
Tutorials.
This workshop will show you how to build a high-performance social network backend based on the open source Neo4j graph database. We will investigate the implementation of a small but working social network backend with simple but powerful APIs to find paths between people and analyze the social graph. Finally, we will show how it outperforms a relational backend by a factor of 1000x or more.
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Git is a new distributed version control system that is fast, flexible, works offline and supports powerful local branching and easy merging that encourages non-linear workflows and makes developers far more productive and efficient. This tutorial will introduce you to Git, rid you of your SVN sins, and teach you how to become more efficient and productive as a programmer.
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Java
Location: D137/138
Please note: to attend, your registration must include
Tutorials.
Scala is a hybrid object-functional language for the JVM. Java programmers can easily migrate to Scala as an improved Java, then learn to exploit its powerful support for Functional Programming. Developers from other languages can exploit the JVM's power and rich libraries using a state-of-the-art language. Come learn why Scala is seductive; why it meets the needs of the modern developer.
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This tutorial will provide an in-depth tutorial on various forms of NOSQL (NotOnlySQL) datastores (key/value, data structure store, document store and wide column stores) for working with semi- structured data. The data ranges from web logs to social and knowledge graphs to configuration data stores for cloud infrastructures and other domains.
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Databases
Location: Portland 256
Please note: to attend, your registration must include
Tutorials.
Moore's Law has run its course, yet despite the growing demands placed
on databases, traditional solutions offer little alternative to vertical
scaling. Come learn step-by-step how to use Apache Cassandra to turn a
cluster of inexpensive commodity servers in to a massively scalable
distributed datastore.
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