Carlos Scheidecker: Principles of Big Data Architecture
Wednesday April 24th, 2013 6:30 PM
Please RSVP below…
ABSTRACT
This month’s presentation we will be discussing the fundamental principles of Big Data architecture and how the leading Big Data products are designed around them. We will cover The Lambda Architecture principles and show how the Hadoop and Dynamo models relate to it. We will also discuss NoSQL architecture in terms of Key-Value Store, Graph Store, Bigtable Store and Document store.
We will then present Apache Cassandra and show how to connect and design code via the Thrift protocol. Demonstrations include creating the Thrift stubs for Cassandra, a connection pool idea as well as a DAO for performing CRUD and other operations to the server. Also, we will show how to integrate a Bigtable store like Cassandra to Hadoop for batch analysis purposes. Hardware architecture considerations as well as monitoring ideas will also be discussed.
Presenter: Carlos Scheidecker
Short Bio:
Carlos co-founded Dataware which pioneered intelligent EDI for the auto industry in 1989. As the CTO and technical evangelist, his products received awarded for Innovation Excellence by companies like Toyota, BMW, Esso, Land Rover, Subaru and FIAT. Carlos has certifications from the University of Cambridge, University of Chicago. He has a background in Mechanical Engineering as well as receiving bachelors and masters degrees in Computer Science from the University of Utah. Carlos’ passion and approach to practical artificial intelligence implementation has elevated companies to a competitive status beyond their competitors. Carlos has been using Big Data technologies for different industries and has vast experience with Apache Cassandra both on the software and hardware architecture realms.
