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Event Details
Note: We will be hosting this training session in partnership with Fox Interactive Media. This will be on the Fox lot, which has strict security protocols. As such, we need to close registrations earlier than usual to allow time to get your name on the entry list. Registration closes on July 28th at 1PM PDT.
Cloudera's Advanced Hadoop Training completes the three day training course and teaches advanced skills for debugging MapReduce programs and optimizing their performance. This session requires prior experience writing Hadoop programs, or attendence in the basic and intermediate training sessions. Attendees will look deeper into the Hadoop API and learn about programmatic tools that facilitate tighter integration between Hadoop programs and other systems and higher parallel throughput.
Cloudera will give a series of lectures interleaved
with practical, hands-on examples and exercises. Attendees must bring
their own laptop with VMware Player (or Fusion for Mac) so they may
follow along in a pre-configured virtual machine Cloudera provides.
At the end of the training session, those wishing to document their skills and receive the Cloudera Certified Hadoop Professional (CCHP) credential may take the certification exam. It covers material from all three sessoins.
During this all-day session, we will cover the following agenda with ample time for questions:
| Lecture: |
Debugging MapReduce programs
Debugging in the distributed environment is challenging. This lecture will expose you to best practices for program design to mitigate debugging challenges, as well as local testing tools and techniques for debugging at scale.
|
| Lecture: |
Advanced Hadoop API
In the basic training session, you learned how to get up and running writing Hadoop MapReduce programs in Java. This lecture probes deeper into the API, covering custom data types and file formats, direct HDFS access, intermediate data partitioning, and other tools such as the DistributedCache.
|
| Lecture: |
Advanced Algorithms
This lecture introduces some graph algorithms that can be adapted for your needs, as well as more involved examples like PageRank. We'll also look at strategies for implementing joins efficiently, and compare different techniques that are appropriate to different data models.
|
| Exercise: |
Optimizing MapReduce Programs
We'll use the Cloudera Training VM to work through an example where you write a MapReduce program and improve its performance using techniques explored earlier.
|
| Exam: |
Cloudera Certified Hadoop Professional Exam
The day will end with the CCHP exam for those wishing to document their Hadoop expertise. This test will assess your knowledge of all areas covered over the course of the three day training sessions.
|
We will take a one hour break around noon for lunch. There are many places to eat while exploring the Fox lot.
Security and Parking:
Security:
At the Galaxy Parking Lot, please let the guard know you are there for the "Fox Audience Network Hadoop Workshop."
Parking:
Galaxy Parking Lot
You can park at the Galaxy Parking garage for the workshop. The Galaxy
parking garage entrance is located off of Galaxy Way, which is the
street just behind the Fox Plaza. As a reference, the Fox Plaza address
is 2121 Avenue of the Stars, Los Angeles, CA 90064.
When & Where
Fox Studios Lot
10201 West Pico Blvd.
Building 104 (right next to the parking structure)
Los Angeles,
CA 90035
Wednesday, July 29, 2009 from 9:00 AM to 5:00 PM (PDT)
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