Hadoop Advanced Developer Course Recommendation Engine

Date: 12-Jul-14 to 13-Jul-14
Location: Embassy Suites / Santa Clara / California / United States
Category: Technology Conferences & Trade Fairs

2 Day Advanced Hadoop Development Course for developers.
Prerequisite: Java programming, Basic Statistics, Able to code algorithms.
Training Location: The Consulate, Embassy Suites, 2885 Lakeside Dr, Santa Clara, CA 95054
Our training is unique in the following aspects:

Experts in the Big Data from the Silicon Valley with hands on experience and knowledge provide the training. 2 days of intense training (Sat/Sun) with multiple use cases to practice.
Trainees will get hand-on experience with Hadoop and will build a recommendation engine from scratch.
Our training is vendor agnostic and provide hands-on exercise of working with data in a live Hadoop environment.
Our training is offered at comfortable location in an auditorium at Hilton- Embassy Suites at Santa Clara, California.

Training Curriculum:

Day 1:
Overview of Hadoop Ecosystem

Hadoop components: Hdfs, MapReduce, Hive

Hadoop components: Mahout

Developing applications in Hadoop
Recommendation Engine Algorithm

Day 2:
Recommendation and Real Time Recommendation Engines
Use Cases - Macys, Amazon etc.
Terms and Definitions -Term Frequency, Collaboration Filtering, Weights, Models, Scoring,
Steps in engine development
Frameworks in practice today - MapReduce, Solr+Hadoop, KIJI etc.
Demonstration of framework
Hands-on Lab ( all )

Lunch Break

Project ( Individual or Group )
Bring your own data set
Build recommendation engine
Test it, Present it.
Guest Lecture

Who Should Attend: Java Engineers, Data Warehouse Professional, PM, Teaching Staff, Delivery Manager, Product Manager, and Data Enthusiasts.
Lab Requirements: Each student should bring their own 64bit laptop ( Windows 7/8 or Mac)

Thank you.
DataInquest Team

Contact Info:
Email: info@datainquest.com
Website: http://www.datainquest.com

Promotional Offer: 500

Speakers: Industry Experts from Silicon Valley

Time: 9:00 am to 6:00 pm


Open to all


Industry Experts from Silicon Valley

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