Hadoop online training | Unite Kingdom

Magnific training for developers based on real-world challenges in the use of Hadoop and related technologies in Big Data applications.

• Hadoop – learn the core concepts quickly with hands-on training
• MapReduce, advanced aspects of the Hadoop API, HDFS, Hbase, Hive and Pig
• Hands-on experience using our in-house Hadoop cluster
• Small class size, 3-4 days per week, accelerated courses for experienced (mid-level and higher) developers

Meet and Greet students – Online

Hadoop Setup – Support

Clusterstogo.com – Overview

Day 1: Big Data, HDFS and MapReduce Primer

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

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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 website www.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.

* Resume preparation and Interview assistance will be provided. 

For any further details please contact +91-9052666559 or 

visit www.magnifictraining.com

please mail us all queries to info@magnifictraining.com