Want to review hadoop / big data

Oct 2
Description

http://www.meetup.com...

The goal of my meetup is to learn by doing and so instead of presentation style or lecturing which makes the audience a passive participant. I want the audience to be active and hands-on involved. So, please bring a laptop and I will provide a system to connect to and free internet / wifi access. Here is a rough path I plan to take for the meet-ups.

I am moving the day to Monday due to facility availability.

IF YOU ARE NEW TO THE GROUP, PLEASE ATTEMPT TO BE 30 MINUTES EARLY

- Background / history of Hadoop. System structure

- Hands-on HDFS labs

- Explore Map/Reduce concepts

- Exercise Map/Reduce labs

- Basic Hive

- Datameer overview

- Cascading framework

- HBase Basics

- Flume Basics

- Sqoop Basics

- Hadoop eco-system; Mahout and machine learning

- Spark/Shark framework

- Storm

- Algorithms: Overview -The fun stuff!

- Algorithm: Counting & Summing. Raw Map/Reduce, Hive, Datameer, Cascading

- Algorithm: Term frequency-inverse document frequency (tf-idf)

- Algorithm: Collating. Inverted Indexes, ETL

- Algorithm: Filtering/Parsing/Validation: Log Analysis, Data Querying, ETL, Validation

- Algorithm: Distributed Task Execution: Image processing, Simulation of digital communications

- Algorithm: Graph processing - Distributed graph transversal

- Algorithm: PageRank

- Algorithm: Relational Map/Reduce Patterns: Selection, projection, Union, Intersection, Difference

Location Details: Even though the address street is Polaris Parkway, you must turn on Orion Place on the north side of Polaris Parkway.

g-map:

http://goo.gl/maps/kz...

LOST? Call: [masked]

Jeff

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