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Hands-on Big Data Classes

Apache Hadoop Developer's Track - Santa Clara, CA

Big Data Cloud

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Apache Hadoop Developer's Track - Santa Clara, CA

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Event Details

NOTE:
If purchasing a LPI test voucher only, please select any date.
The test voucher is valid until June 30th
2014.

Linux Professional Institute  This class is being offered in partnership with the Linux Professional Institute.


Click here to see the details on Corporate site.


The Apache Hadoop Developer's
track deeply explores Hadoop Architecture, Ecosystem and Implementation considerations.
This track stresses the combined Hadoop literacy concepts as learned through core concept instructions, hands-on lab work and detailed class discussions.

The only way to engage industry demands is with strong fundamentals, and the Apache Hadoop Developer's track provides that crucial intellectual infrastructure.

The core concepts taught in this track include:

  • The importance of Hadoop in today's world
  • The technological fuels of MapReduce, Hive & Pig
  • Overview of MapReduce, Hive & Pig as an almost-universal template for Big Data analytics
  • Appropriate, and non-appropriate, application environments for these programming paradigms

The instructors review Hadoop's essential server components and detail its relation to MapReduce. Hive & Pig programming. Learners discover the integrated process with hands-on lanbs. Hadoop fine tuning parameters, definitive guidelines for distributed cluster setup, MapReduce, Hive & Pig programming and real-time monitoring, are colvered in this two day track.


Distributed multinode Hadoop clusters are provided by ClustersTogo.com.
The Hadoop clusters can be accessed & worked on by simply using any browser, without the need to download, install & setup anything.


The Apache Hadoop Developer's track is the ultimate introductory experience for future industry players. It's thorough, accessible and industry-driven. Students can make a fun and challenging weekend of it and emerge with the empowerment of foundational knowledge.
The Apache Hadoop Developer's track is a core component of the "Technology Series" of classes.
 

Lab Work

The Apache Hadoop Developer's Track is distinct from any other such industry class, because lab work comprises over 50 percent of the total course work.
This track s places learners in the "hands-on" industry hot seat within a safe, nurturing class environment. The students are guided by Big Data gurus who have years of industry experience & can answer detailed technical questions. Students have the dual benefits of working on their own Hadoop clusters as part of a team setting during the class while also being able to work on the Hadoop clusters at their own time and leisure. Students can excel individually, or in groups as best they prefer.
These clusters are provided by ClustersTogo.com.

Lab training utilizes Click Stream, Facebook and Twitter data in these MapReduce, Hive & Pig labs.
The labs feature industry-standard core components, such as MapReduce, Hive & Pig.

 

Prerequisites

Basic Unix skill, Basic Java programming & SQL knowledge.

Course Duration

1 Full Day

Course Location

  • 3200 Coronado Dr, Santa Clara, CA 95054
  • Virtual Attendance

Audience

Developers, Business Analysts, Managers, Administrators

Agenda

Before Class – 1 Day before; 6 to 7pm PST

                    Meet and Greet students – Online

                    Hadoop Setup – Support

                    Clusterstogo.com - Overview

 Day 1

                    Hadoop Architecture and Background

                    Hadoop Ecosystem  - Review and Comparisons of Big Data Latest Tools

                    Map Reduce Programming & Performance Monitoring

                    Big Data Random Access vs. Hadoop's Batch Processing

                                                 Demo – Hadoop Processes and Infrastructure

                    Data Load Utility Overview (like Sqoop)

                    Hive – System/Data Flow, Architecture, Implementation, DDL & DML

                                                Pig - Concepts and ETL

                    Map Reduce Programming - Advanced Concepts including high level overview of Mahout

                    60% Lab – Pig, Map Reduce Programming, NoSQL Data Modeling

                    Q/A & Support

After Class – 1 Day after; 6 to 7pm PST

                    Follow Up Questions and Support

 

Recommended Readings

  1. Hadoop
  2. Hadoop Definitive Guide – by Tom White
  3. Programming Pig – by Alan Gates

 Click here to see the details on Corporate site.

Have questions about Apache Hadoop Developer's Track - Santa Clara, CA? Contact Big Data Cloud

Where


BigDataCloud Training Center
3200 Coronado Dr,
Santa Clara, CA 95054

Multiple Dates


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