Hadoop Development course teaches the skill set required for the learners how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. Attend Hadoop Training demo by Real-Time Expert. Doug Cutting, Mike Cafarella and team developed HADOOP in 2005 by taking the solution provided by Google. Hadoop is an open source and Java-based programming framework. It is used for data processing and storage of large data sets in a distributed environment. It is a part of the Apache project sponsored by the Apache Software Foundation. It consists of computer clusters designed from commodity hardware. This Hadoop Online training course from Naresh I technologies is designed based on the demand in current IT market and also for Certification. Bigdata Hadoop is set to change the IT industries in a big way by processing the data. Hadoop uses structured, Semi-structured and Unstructured data.
Hadoop
By: Professor
Course Content
Hadoop
- Hadoop Distributed File System
- Hadoop Architecture
- MapReduce & HDFS
- Introduction to Pig
- Introduction to Hive
- Introduction to HBase
- Other eco system Map
- Moving the Data into Hadoop
- Moving The Data out from Hadoop
- Reading and Writing the files in HDFS using java program
- The Hadoop Java API for MapReduce
- Mapper Class
- Reducer Class
- Driver Class
- Writing Basic MapReduce Program In java
- Understanding the MapReduce Internal Components
- Hbase MapReduce Program
- Hive Overview
- Working with Hive
- Pig Overview
- Working with Pig
- Sqoop Overview
- Moving the Data from RDBMS to Hadoop
- Moving the Data from RDBMS to Hbase
- Moving the Data from RDBMS to Hive
- Flume Overview
- Moving The Data from Web server Into Hadoop
- Real Time Example in Hadoop
- Apache Log viewer Analysis
- Market Basket Algorithms
- Big Data Overview
- Introduction In Hadoop and Hadoop Related Eco System.
- Choosing Hardware For Hadoop Cluster nodes
- Standalone Mode
- Pseudo Distributed Mode
- Fully Distributed Mode
- Zookeeper Installation
- Hbase Installation
- Hive Installation
- Pig Installation
- Sqoop Installation
- Installing Mahout
- Cloudera Installation
- Hadoop Commands usage
- Import the data in HDFS
- Sample Hadoop Examples (Word count program and Population problem)
- Monitoring Hadoop Cluster with Ganglia
- Monitoring Hadoop Cluster with Nagios
- Monitoring Hadoop Cluster with JMX
- Hadoop Configuration management Tool
- Hadoop Benchmarking
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