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2 Day Hadoop Training September 2013

Exponential Inc. / DatumFora

Saturday, September 14, 2013 at 9:00 AM - Sunday, September 15, 2013 at 5:00 PM (PDT)

Sunnyvale, CA

Ticket Information

Ticket Type Sales End Price Fee Quantity
One Day Ended $699.00 $0.00
Both Days Ended $999.00 $0.00

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Event Details

Course Description

DatumFora (an ExpoNential Inc.'s company) is offering this extensive weekend class on Hadoop platforms. This is a fast paced, vendor agnostic, technical overview of the Hadoop landscape. No prior knowledge of databases or programming is assumed. This survey course is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop. 

Students will experience real Hadoop clusters and the latest Hadoop distributions. We will discuss vendor offerings for Hadoop including Cloudera, Hortonworks, and MapR. The lab work will be conducted on Cloudera based deployments to facilitate hands-on experience.


Duration


September 14-15, 2013 (Sat-Sun)

8am - 6pm ( Lunch will be provided)


Location


Domain Hotel

1085 E El Camino Real  

Sunnyvale, CA 94087


Instructor


Sal Ahmed, Cloudera Certified Hadoop Administrator and HBase Specialist


Audience


Engineers, Programmers, Networking specialists, Managers, Executives


Ecosystem Components Covered


 HDFS, MapReduce, HBase, Hive, Sqoop


Objectives


 

- Introduce students to the core concepts of Hadoop

- Deep dive into the critical architecture paths of HDFS, MapReduce and HBase

- Teach the basics of how to effectively write Hive scripts

- Explain how to choose the correct use cases for Hadoop

- Give each student access to an individual 1-node Hadoop cluster in Rackspace to run through hands-on 

- Provide links to the best books, blog posts and videos for students to learn more about Hadoop on their own

 

Course Outline


Day 1:    Big Data, HDFS and MapReduce Primer

 

                Hadoop

- Parallel Computer vs. Distributed Computing

- Brief history of Hadoop

- Scaling with Hadoop

- RDBMS/SQL vs. Hadoop

- Hadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTracker

- Intro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper

- Vendor Comparison - Hardware + Software recommendations for Hadoop

                LAB #1: Hadoop Installation, Hadoop cluster specific operations and sample job execution

               

                HDFS 

- Linux File system options

- Sample HDFS commands

- HDFS sample architecture at Yahoo!

- Data Locality

- Rack Awareness

- Write Pipeline

- Read Pipeline

- NameNode architecture (EditLog, FsImage, location of replicas, safe mode)

- Secondary NameNode architecture

- DataNode architecture

- Heartbeats

- Block Scanner

- Fsck Health Check + file breakdown

- Balancer

                LAB #2: Various HDFS specific operations

 

                MapReduce 

- MapReduce Architecture

- JobTracker/TaskTracker

- Combiner

- Partitioner (shuffle)

- Counters

- Speculative Execution

- Distributed Cache

- Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)

                LAB #3: Understanding MapReduce jobs through execution

 

Day 2:  Hadoop Ecosystem

                Real-time I/O with HBase 

- HBase versions and origins

- HBase architecture

- HBase core concepts

- HBase vs. RDBMS

- HBase Master and Region Servers

- Data Modeling

- Column Families and Regions

- HBase Internals: Bloom Filters and Block Indexes

- Write Pipeline / Read Pipeline

- Compactions

                LAB #4: Exploring HBase command 

 

                Hive

- Hive philosophy and architecture

- Hive vs. RDBMS

- HiveQL and Hive Shell

- Managing tables

- Data types and schemas

- Querying data

- HiveODBC

                LAB #5: Analyzing real world data using Hive and performing analysis

 

               Sqoop 

              - Data Processing through Sqoop

              - Understand Sqoop connectivity model with RDBMS 

              - Using Sqoop example with real time data applications 

                LAB #6: Using Sqoop with Excel and PowerPivot to Perform Data Analysis

 

                Next-gen Hadoop  

- HDFS improvements: HDFS Federation, NameNode HA, Snapshots

- MapReduce improvements: YARN, Performance

- HBase GeoRedundancy, DR, and Snapshots

- Brief introduction on Mahout, Oozie, Pig and Avro etc.


 

Cancellation Policy

Cancellation prior to 15 days are entitled to 85% refund. No refund will be issued within 15 days. We will however transfer the registration to a future class or to another person. If you have specific questions, please contact us at info@datumfora.com




Have questions about 2 Day Hadoop Training September 2013? Contact Exponential Inc. / DatumFora

When & Where


Domain Hotel
1085 E El Camino Real
Sunnyvale, CA 94087

Saturday, September 14, 2013 at 9:00 AM - Sunday, September 15, 2013 at 5:00 PM (PDT)


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