HADOOP ONLINE TRAINING | HADOOP COURSE DETAILS | SRY IT SOLUTIONS

Information about HADOOP ONLINE TRAINING | HADOOP COURSE DETAILS | SRY IT SOLUTIONS

Published on March 11, 2014

Author: orsenit1234

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HADOOP OVERVIEW: HADOOP OVERVIEW SRY IT SOLUTIONS Ameerpet, Hyderabad-500038 AndhraPradesh , INDIA . India: +91-8008527566, 8686190860 USA: +1-319-804-4998 Email:   [email protected] Introduction to Hadoop : Introduction to Hadoop  Hadoop is a complete, open-source ecosystem for capturing , organizing, storing, searching, sharing, analyzing, visualizing, and otherwise processing disparate data sources (structured, semi-structured, and unstructured) in a cluster of commodity computers. Why Hadoop: 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:  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: 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: 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? :  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: CONTACT US SRY IT SOLUTIONS Ameerpet, Hyderabad-500038 AndhraPradesh, INDIA. India: +91-8008527566, 8686190860 USA: +1-319-804-4998 Email:   [email protected]

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