Hadoop Administration & Development Online Training
Details
Big Data or Hadoop Online Training is very suitable for professionals to learn the concepts of Hadoop, Apache Hadoop Software operations and managing complex data sets.
Hadoop is a Java based programmer which supports the processing of huge data in computing environment. It is a fragment of Apache venture that is supported by Apache software Foundation.
Hadoop Online Training makes the learners possibility to run application with thousands of nodes connecting thousands of terabytes on systems. It is a distributed file system enables quick data transfer duties among the nodes and allows the systems to remain operating continuous in the instance of a node interruption. This tactic reduces the risk of catastrophic system failure, even if many nodes don’t function.
Hamsini Technologies introduce the learners by Hadoop training with Hadoop working methodology. Where Hadoop is an inspiration of Google’s MapReduce, software framework where an application is fragmented into several small parts. These fragments run on any node of a cluster. The recent Apache Hadoop ecosystem consists of Hadoop distributed file system (HDFS),MapReduce, Hadoop kernel and a number of associated projects such as HBase, Zookeeper and Apache Hive.
Hadoop Framework is often used by big companies like Google, IBM and Yahoo largely by the applications those are involved in search engines and advertising organizations.
Outline
Hadoop Online Training Course Content:
Introduction
- Data Analytics
- Introduction to RDBMS
- What is Big Data?
- Big Data Challenges
- What are Technologies support for Big Data
- Hadoop Introduction
Pre-requisites
- Core java
- Java Virtual Machine
- OOP’s Principles
- Exceptions
- Multi Threads
- Map
- Linux
- Basics
- Installations
- Commands
- VM Ware
- Basics
- Installations
- Backups
- Snapshots
- SQL
- Create Table
- Order
- Aggregate Functions
- Joins
Hadoop
- What is Hadoop?
- Hadoop Poweredby and Users
- Scalability
- Distributed Framework
- Hadoop versus RDBMS
- Brief history of hadoop
Hadoop Daemon Processes
- Name node
- Secondary name node
- Job tracker
- Task tracker
- Data node
Hadoop Distributed File System
- HDFS Design and Architecture
- HDFS Concepts
- HDFS High-Availability
- Interacting HDFS using CLI and Browser
- Blocks
- Replication
- Fault Tolerance
- Priorities
- Writing Data into HDFS
- Reading Data from HDFS
Mapreduce
- The Parts of a Hadoop MapReduce Job
- How MapReduce Works
- MapReduce Types and Formats
- Input Formats
- Text Input
- Multiple Inputs
- Database Input (and Output)
- Output Formats
- Explain Map and Reduce with Example
Hadoop Cluster Configuration
- Pseudo Distributed mode
- Cluster mode
- Ipv6
- Ssh
- Installation of java, hadoop
- Configurations of hadoop
- Hadoop Processes ( NN, SNN, JT, DN, TT)
- Temporary directory
- UI
- Common errors when running hadoop cluster, solutions
Advanced Mapreduce Concepts
- Developing Map Reduce Application
- Phases in Map Reduce Framework
- Map Reduce Input and Output Formats
- Advanced Concepts
- Sample Applications
- Combiner
- Map-side join
- Reduce-Side join
- Custom Input format class
- Hash Partitioner
- Custom Partitioner
- Sorting techniques
- Custom Output format class
HIVE
- Installing Hive
- The Hive Shell
- Running Hive
- Configuring Hive
- Hive Services
- The Metastore
- Comparison with Traditional Databases
- Schema on Read Versus Schema on Write
- Running a SQL-style query with Hive
- Performing a join with Hive
- Case Study & Example
PIG
- Installing Pig
- Running Pig
- Set operations (join, union)
- Sorting with Pig
- Speaking Pig Latin
- Working with user-defined functions
- Working with scripts
- Case Study & Example
Sqoop
- Introduction
- Import Data.
- Export Data.
- Sqoop Syntax.
- Databases connection.
- Hands-on exercise
Impala
- Introduction to Impala
- Impala Configuration
- Comparison between Hive and Impala
- Impala Commands
- Example with Usecase
Oozie Workflow
- Introduction to Oozies
- Creating workflows
- Creating job Schedules
- Example with Usecase
Flume
- Introduction
- Configuration and Setup
- Flume Sink with example
- Channel
- Flume Source with example
- Complex flume architecture
Hue
- Introduction to Hue
- Advantages of Hue
- Hue Web Interface
- Ecosystems in Hue
- Example with Usecase
HBase
- Introduction
- Configuration
- Basic Hadoop/ZooKeeper/HBase configurations
- HBase Versus RDBMS
- Example with Usecase
Zoo Keeper
- Introduction to Zoo Keeper
- Cluster Maintenance
- Processing watchmen Services
- Example with Usecase
Real Life Usecases
- Recommendation Engine
- Prediction
- Trend Analysis
- Data mining
- Best Practices
Reporting tool:
Tableau
- Tableau Fundamentals.
- Tableau Analytics.
- Visual Analytics.
- Hands-on exercise
Our Training Highlights
- Very interactive and career oriented sessions
- Goal oriented, comprehensive training based on your specific learning needs
- 24X7 Server Access to practice whenever and wherever
- Recorded Sessions for your reference even after the course completion
- 24X7 technical support team via Phone, Email
- Unlimited access to Digital Library to master your course.