Jon Bloom, a senior consultant from Agile Bay, Inc., will present on big data and Hadoop. The session agenda includes definitions of big data and Hadoop, a comparison of BI and Hadoop, and a demo. Hadoop is an open source Apache project for distributed computing across commodity servers using batch processing. It includes HDFS, YARN, MapReduce and an ecosystem of tools like HBase and Hive. While Hadoop extends BI capabilities to massive datasets, BI is suited for datasets up to hundreds of gigabytes versus Hadoop which handles terabytes to petabytes of data.

1. Presented by: Jon Bloom
Senior Consultant, Agile Bay, Inc.

2. Customers & Partners
Jon Bloom
Blog:
http://www.bloomconsultingbi.com
Twitter: @sqljon
Linked-in: http://www.linkedin.com/in/BloomConsultingBI
Email: jbloom@AgileBay.com

3. w w w . a g i l e b a y. c o m

4. Session Agenda
 What is Big Data?
 What is Hadoop?
 BI vs. Hadoop
 Demo:

5. Terms and Acronyms
 Hadoop:
Apache project (open source) project to develop software for
reliable, scalable, distributed computing.
 Cluster:
A group of computers (nodes) linked together to perform a highly-available
and high computation work
 HDFS
distributed file system that provides high-throughput access to application
data.
 YARN
A framework for job scheduling and cluster resource management.
 MapReduce
A system for parallel processing of large data sets.

7. What is Big Data?
 Volume, Velocity, Variety

9. What is Hadoop
 Apache open source project
 Batch Oriented Parallel Processing across
Commodity Servers
 Ecosystem
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Ambari
HBase
Avro
Cassandra
Chukwa
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Hive
Mahout
Pig
ZooKeeper

10. Distributed Computing &
MapReduce
Mapper
Reducer

12. BI vs. Hadoop
 Hadoop not a replacement of BI
 Extends BI capabilities
 BI = Scale up to 100s of Gigabytes
 Hadoop = From 100s of Gygabytes to Terabytes
(1,000s og Gygabytes) and Terabytes (1,000,000
Gigabytes)

14. Blog:
www.bloomconsultingbi.com
Twitter:
@sqljon
Linked-in: http://www.linkedin.com/in/BloomConsultingBI
Email:
jbloom@agilebay.com