Big Data Classes | Big Data TechCon | October 27-29, 2014 | San Francisco Bay Area
Hadoop is the foundation of enterprise big data solutions. However,
it’s one component. It’s not the complete solution. A complete solution
requires databases, message brokers, stream processors and more. The
flow of data starts at the client and it ends with Apache Hadoop.
However, data flows through multiple systems before it ends with Apache
Hadoop. The key to a real-time big data solution is architecture. It has
fill the big data/fast data gap. It has to meet both operational and
analytical requirements. This requires integrating multiple systems to
enable a flow of data.
In this class, we will discuss real-time big data architecture by
evaluating the architecture of enterprise production deployments. These
industry solutions range from messaging to finance to advertising. In
addition, we will highlight several components of real-time big data
solutions, including Apache Hadoop, Apache Storm, Apache Sqoop, Apache
Kafka and Couchbase Server.
Finally, we will examine the requirements for...(Read whole news on source site)