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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 the day before to allow time to get your name on the entry list. Registration closes on July 24th at 1PM PDT.
Cloudera's Basic Hadoop Training provides a solid
foundation for those seeking to understand large scale data processing
with MapReduce and Hadoop. This session is appropriate for attendees
who are new to Hadoop, and may have never used the software before. It
is also appropriate for new users who are seeking a deeper
understanding of the core principles, programming API and basic
MapReduce algorithms.
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.
Attendees seeking more in-depth knowledge may
also attend our intermediate and advanced training on the following two days (a
discount code is provided in your confirmation email if you miss the early bird registration).
Those wishing to document their skills and receive the Cloudera Certified Hadoop Professional (CCHP) credential may take the certification exam immediately following advanced training. It covers material from all three sessions.
During this all-day session, we will cover the following agenda with ample time for questions:
| Lecture: |
Thinking at Scale: Introduction to Hadoop and Big Data
You know your data is big – you found Hadoop. What implications must
you consider when working at this scale? This lecture addresses common
challenges and general best practices for scaling with your data.
|
| Lecture: |
MapReduce and HDFS
These tools provide the core functionality to allow you to store,
process, and analyze big data. This lecture "lifts the curtain" and
explains how the technology works. You'll understand how these
components fit together and build on one another to provide a scalable
and powerful system.
|
| Exercise: |
Getting Started with Hadoop
If you'd like a more hands-on experience, this is a good time to
download our VM and kick the tires a bit. In this activity, using the
provided instructions, you'll get a feel for the tools and run some
sample jobs.
|
| Lecture: |
The Hadoop Ecosystem
An introduction to other projects surrounding Hadoop, which complete
the greater ecosystem of available large-data processing tools.
|
| Lecture: |
The Hadoop MapReduce API
Learn how to get started writing programs against Hadoop's API.
|
| Lecture: |
Introduction to MapReduce Algorithms
Writing programs for MapReduce requires analyzing
problems in a new way. This lecture shows how some common functions can
be expressed as part of a MapReduce pipeline.
|
| Exercise: |
Writing MapReduce Programs
Now that you're familiar with the tools, and have some ideas about how
to write a MapReduce program, this exercise will challenge you to
perform a common task when working with big data - building an inverted
index. More importantly, it teaches you the basic skills you need to
write your own, more interesting data processing jobs.
|
| Lecture: |
Hadoop Deployment
Once you understand the basics for working with Hadoop and writing
MapReduce applications, you'll need to know how to get Hadoop up and
running for your own processing (or at least, get your ops team pointed
in the right direction). Before ending the day, we'll make sure you
understand how to deploy Hadoop on servers in your own datacenter or on
Amazon's EC2.
|
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
Monday, July 27, 2009 at 9:00 AM - Tuesday, July 28, 2009 at 5:00 PM (PDT)
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