Big Data Information Architecture: Building an Architecture for Insight with Hadoop

The advent of big data has changed the world of analytics forever. Big data challenges scalability and big data platforms reshape BI and analytics infrastructure. Hadoop has taken center stage in the big data revolution. We all need to understand the platform, its ecosystem, and how to work with it. The enterprise adoption of Hadoop is met with mixed responses. Join us to learn Hadoop basics, understand the realities, sort out the conflicts, and find out where and how Hadoop fits into your BI and analytics future. We will discuss the ecosystem and its intricacies, look at where it will help, and discuss how companies have embraced its usage.


Audience


Architects, developers, data scientists, anyone interested in developing a sustainable big data architecture, anyone interested in Hadoop and the Apache ecosystem


Hadoop

Core components (HDFS, YARN, Zookeeper)

Tools (Hbase, Hive, Pig, Mahout, Impala, MapReduce)

Technical architecture

Administration and management


NoSQL Databases

MongoDB, Hbase, Cassandra, CouchDB, Riak


Graph Databases

Neo4J, Giraph


Review and Deployment Discussion

Program Details
Duration 1 Days
Capacity Max 12 Persons
Training Type Classroom / Virtual Classroom


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