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HADOOP OVERVIEW
SRY IT SOLUTIONS
Ameerpet, Hyderabad-500038
AndhraPradesh, INDIA.
India: +91-8008527566, 8686190860
USA: +1-319-804-4998
Email: info@sryitsolutions.com
Introduction to Hadoop
• Hadoop is a complete, open-source ecosystem
for
capturing, organizing, storing, searching, shari
ng, analyzing, visualizing, and otherwise
processing disparate data sources
(structured, semi-structured, and
unstructured) in a cluster of commodity
computers.
Why Hadoop
• Why Hadoop (and Why Now) Organizations
across all industries are confronting the
same challenge: data is arriving faster than
existing data warehousing platforms are able
to absorb and analyze it.
• The migration to online channels, for
example, is driving unprecedented volumes
of transaction and click stream data, which
are, in turn, driving up the cost of data
warehouses, ETL processing, and analytics.
Hadoop Course Out Line
• Distributed computing Parallel computing
Concurrency Cloud Computing Computing
Past, Present and Future Hadoop Streaming
Distributing Debug Scripts Getting Started
With Eclipse.
Hadoop Stack CAP Theorem Databases
• Key Value, Document, Graph Hive and Pig
HDFS Lab 1: Hadoop Hands-on Installing
Hadoop Single Node cluster(CDH4)
Understanding Hadoop configuration files
• Concept of Map and Reduce Functional –
Ordering, Concurrency, No Lock, Concurrency
Functional –
Shuffling, Reducing, Key, Concurrency Map
Reduce Execution framework Map Reduce
Practitioners .
Map Reduce Exercises
• Understanding Sample Map Reduce code
Executing Map Reduce code HDFS
Introduction Architecture File System Data
replication and Node Name Node.
• Hive Hands ON Installation, Setup and
Exercises PIG Rationale Pig Latin Input, Output
and Relational Operators User Defined
Functions Analyzing and designing using Pig
Latin.
What is Oozie ? And How it works?
• Introduction to Zoo Keeper Cluster Planning
and Cloud Manager Set-up Hadoop Multi
node Cluster Setup Installation and
Configuration Running Map Reduce Jobs on
Multi Node cluster Working with Large data
sets Steps involved in analyzing large data Lab
walk through High Availability Fed ration, Yarn
and Security
CONTACT US
SRY IT SOLUTIONS
Ameerpet, Hyderabad-500038
AndhraPradesh, INDIA.
India: +91-8008527566, 8686190860
USA: +1-319-804-4998
Email: info@sryitsolutions.com

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HADOOP ONLINE TRAINING | HADOOP COURSE DETAILS | SRY IT SOLUTIONS

  • 1. HADOOP OVERVIEW SRY IT SOLUTIONS Ameerpet, Hyderabad-500038 AndhraPradesh, INDIA. India: +91-8008527566, 8686190860 USA: +1-319-804-4998 Email: info@sryitsolutions.com
  • 2. Introduction to Hadoop • Hadoop is a complete, open-source ecosystem for capturing, organizing, storing, searching, shari ng, analyzing, visualizing, and otherwise processing disparate data sources (structured, semi-structured, and unstructured) in a cluster of commodity computers.
  • 3. Why Hadoop • Why Hadoop (and Why Now) Organizations across all industries are confronting the same challenge: data is arriving faster than existing data warehousing platforms are able to absorb and analyze it. • The migration to online channels, for example, is driving unprecedented volumes of transaction and click stream data, which are, in turn, driving up the cost of data warehouses, ETL processing, and analytics.
  • 4. Hadoop Course Out Line • Distributed computing Parallel computing Concurrency Cloud Computing Computing Past, Present and Future Hadoop Streaming Distributing Debug Scripts Getting Started With Eclipse.
  • 5. Hadoop Stack CAP Theorem Databases • Key Value, Document, Graph Hive and Pig HDFS Lab 1: Hadoop Hands-on Installing Hadoop Single Node cluster(CDH4) Understanding Hadoop configuration files • Concept of Map and Reduce Functional – Ordering, Concurrency, No Lock, Concurrency Functional – Shuffling, Reducing, Key, Concurrency Map Reduce Execution framework Map Reduce Practitioners .
  • 6. Map Reduce Exercises • Understanding Sample Map Reduce code Executing Map Reduce code HDFS Introduction Architecture File System Data replication and Node Name Node. • Hive Hands ON Installation, Setup and Exercises PIG Rationale Pig Latin Input, Output and Relational Operators User Defined Functions Analyzing and designing using Pig Latin.
  • 7. What is Oozie ? And How it works? • Introduction to Zoo Keeper Cluster Planning and Cloud Manager Set-up Hadoop Multi node Cluster Setup Installation and Configuration Running Map Reduce Jobs on Multi Node cluster Working with Large data sets Steps involved in analyzing large data Lab walk through High Availability Fed ration, Yarn and Security
  • 8. CONTACT US SRY IT SOLUTIONS Ameerpet, Hyderabad-500038 AndhraPradesh, INDIA. India: +91-8008527566, 8686190860 USA: +1-319-804-4998 Email: info@sryitsolutions.com