This event has ended

Cloudera Developer Training for Apache Hadoop - Minneapolis - Feb 13-16

Cloudera

Monday, February 13, 2012 at 9:00 AM - Thursday, February 16, 2012 at 5:00 PM (CST)

St. Louis Park, MN

Cloudera Developer Training for Apache Hadoop Minneapolis -...

Ticket Information

Ticket Type Sales End Price Fee Quantity
Early Bird: Full Program + Certification ($100 savings) Ended $2,795.00 $0.00
Full Program + Certification Ended $2,895.00 $0.00

Share Cloudera Developer Training for Apache Hadoop - Minneapolis - Feb 13-16

Event Details

Hands-On Labs

Throughout the course, hands-on labs help students build their knowledge and apply the concepts being discussed. By the end of the course, participants will be able to import and analyze their own data in Apache Hadoop.

Labs include:

  • Importing flat-file data into HDFS
  • Running MapReduce jobs
  • Writing MapReduce code in Java, or using the Hadoop Streaming API
  • Importing data into HDFS from relational database management systems
  • Implementing an inverted index in Hadoop
  • Manipulating data with Hive and Pig
  • Creating pipelines of MapReduce jobs with Oozie

This four-day training course from Cloudera is for developers who want to learn to use Apache Hadoop to build powerful data processing applications.

You will learn:

  • How MapReduce and the Hadoop Distributed File System work
  • How to write MapReduce code in Java or other programming languages
  • What issues to consider when developing MapReduce jobs
  • How to implement common algorithms in Hadoop
  • Best practices for Hadoop development and debugging
  • How to leverage other project such as Apache Hive, Apache Pig, Sqoop and Oozie
  • Advanced Hadoop API topics required for real-world data analysis

Certification Exam

Following the training, attendees will have an opportunity to take become a Cloudera Certified Developer for Apache Hadoop (CCDH).

Course Pre-Requisites

This course is designed for developers with some programming experience (preferably Java). Existing knowledge of Hadoop is not required.


Course Contents

The course covers the following topics:

  • The Motivation For Hadoop
    • Problems with traditional large-scale systems
    • Requirements for a new approach
  • Hadoop: Basic Concepts
    • An Overview of Hadoop
    • The Hadoop Distributed File System
    • Hands-On Exercise
    • How MapReduce Works
    • Hands-On Exercise
    • Anatomy of a Hadoop Cluster
    • Other Hadoop Ecosystem Components
  • Writing a MapReduce Program
    • The MapReduce Flow
    • Examining a Sample MapReduce Program
    • Basic MapReduce API Concepts
    • The Driver Code
    • The Mapper
    • The Reducer
    • Hadoop's Streaming API
    • Using Eclipse for Rapid Development
    • Hands-On Exercise
  • Integrating Hadoop Into The Workflow
    • Relational Database Management Systems
    • Storage Systems
    • Importing Data from RDBMSs With Sqoop
    • Hands-On Exercise
    • Importing Real-Time Data with Flume
    • Accessing HDFS Using FuseDFS and Hoop
  • Delving Deeper Into The Hadoop API
    • Using Combiners
    • Using LocalJobRunner Mode for Faster Development
    • Reducing Intermediate Data with Combiners
    • The configure and close methods for MapReduce Setup and Teardown
    • Writing Partitioners for Better Load Balancing
    • Directly Accessing HDFS
    • Using The Distributed Cache
    • Hands-On Exercise
  • Common MapReduce Algorithms
    • Sorting and Searching
    • Indexing
    • Machine Learning with Mahout
    • Term Frequency - Inverse Document Frequency
    • Word Co-Occurrence
    • Hands-On Exercise
  • Using Hive and Pig
    • Hive Basics
    • Pig Basics
    • Hands-On Exercise
  • Practical Development Tips and Techniques
    • Testing with MRUnit
    • Debugging MapReduce Code
    • Using LocalJobRunner Mode for Easier Debugging
    • Retrieving Job Information with Counters
    • Logging
    • Splittable File Formats
    • Determining the Optimal Number of Reducers
    • Map-Only MapReduce Jobs
    • Implementing Multiple Mappers using ChainMapper
    • Hands-On Exercise
  • More Advanced MapReduce Programming
    • Custom Writables and WritableComparables
    • Saving Binary Data using SequenceFiles and Avro Files
    • Creating InputFormats and OutputFormats
    • Hands-On Exercise
  • Joining Data Sets in MapReduce Jobs
    • Map-Side Joins
    • The Secondary Sort
    • Reduce-Side Joins
    • Hands-On Exercise
  • Graph Manipulation in Hadoop
    • Introduction to graph techniques
    • Representing Graphs in Hadoop
    • Implementing a sample algorithm: Single Source Shortest Path
  • Creating Workflows with Oozie
    • The Motivation for Oozie
    • Oozie's Workflow Definition Format
    • Hands-On Exercise
  • Cloudera Certified Developer Exam
Have questions about Cloudera Developer Training for Apache Hadoop - Minneapolis - Feb 13-16? Contact Cloudera

When & Where


Euler Training Center
Parkdale Plaza, Suite 101
1660 Highway 100 South
St. Louis Park, MN 55416

Monday, February 13, 2012 at 9:00 AM - Thursday, February 16, 2012 at 5:00 PM (CST)


  Add to my calendar

Organizer

Cloudera

Cloudera brings Hadoop to enterprise users. We provide a certified distribution based on the most recent stable release from Apache, online and live training, as well as commercial support.


 

  Contact the Organizer

Please log in or sign up

In order to purchase these tickets in installments, you'll need an Eventbrite account. Log in or sign up for a free account to continue.