hadoop online training in australia: Hadoop training and placement Australia

Friday 26 July 2013

Hadoop training and placement Australia

The Magnific Training – Admin class prepares its students for the fast paced world of Hadoop. The class provides a technical overview of Hadoop, HDFS & MapReduce and its ecosystem components like Hive, Pig & HBase. The class delves deeper into the core concepts of Hadoop architecture & best practices for Hadoop administration. The class showcases Big Data analytics with Hive & Pig and performs data migration from RDBMS into Hadoop using Sqoop. The class has 60% of hands-on labs which students practice on real live dedicated clusters. - See more at: www.magnifictraining.com

Meet and Greet students – Online
Hadoop Setup – Support
Clusterstogo.com – Overview

Day 1: Big Data, HDFS and MapReduce Primer.

Visit: www.magnifictraining.com

Intro to Hadoop

Parallel Computer vs. Distributed Computing
Brief history of Hadoop
RDBMS vs. Hadoop
Hadoop Cluster Architecture
Hadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTracker
Intro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper
Vendor Comparison
Hardware and Software recommendations
Lab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job execution
Deep Dive HDFS

Linux File system options
Sample HDFS commands
Data Locality
Rack Awareness
Write Pipeline
Read Pipeline
NameNode architecture
Secondary NameNode architecture
DataNode architecture
Heartbeats
Block Scanner
FSCK
Balancer
Name Node HA

MapReduce

MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem

Real-time I/O with HBase

HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.

Data Analytics via Hive

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our websitewww.magnifictraining.com

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.