Monday, 30 November 2015

Learn Selenium Webdriver Online Free Step By Step by Layman Learning

Selenium is a set of different software tools each with a different approach to supporting test automation. One of Selenium’s key features is the support for executing one’s tests on multiple browser platforms...

http://www.laymanlearning.com/selenium-training/

Our Selenium trainer has got more than 10 years of real time experience. Selenium a Web based automation tool that automates anything and everything available on a Web page. Initially started by Thoughtworks and currently Google developers are supporting the latest version i.e. WebDriver
 Selenium Course Content
Introduction
  • What is automation testing.
  • When it will come into the picture.
  • What is the use of automation testing.
Introduction to Selenium.SALENIUM LAYMAN LEARNING
  • What is Selenium.
  • What is the use of selenium
  • When selenium can be useful in testing.
  • Features of Selenium.
  • What is the difference between Selenium and QTP.
Selenium Components.
  • Recording the scripts.
  • Running the scripts.
  • How to Save the recording script.
  • Object Identification.
  • Difference between Testcase and test suit.
  • Languages supported while Recording.
  • Synchronization in Selenium IDE.
  • Testing Vs Selenium IDE
  • When to use Selenium IDE
  • How to run the recorded script against other browsers.
  • Why companies are not using recodrding tools.
Creating the Environment for Selenium RC.
  • Creating the generic scripts in selenium.
  • Creating the scripts by using functions.
  • Running the scripts in Eclipse.
  • Inheritance
  • Browser commands with examples.
  • Interactive commands with examples.
  • Information commands with examples.
  • Validation commands with examples.
  • How to take data from excel sheets.
  • Why should we use excel sheets.
  • How to take large no of data from excel sheets.
  • How to export data to an excel sheets.
  • Export large no of data to an excel sheet.
  • How to export results after completion of execution the script.
  • How to use Eclipse.
  • Debugging the scripts.
  • Maintaining the synchronization points.
  • How to handle Popups and alert messages.
Developing the reusable script for any project.
Automation life cycle.
Validations.
  • What is Validation.
  • What is the use of validations in Automation testing.
  • When we use validations in Realtime project.
  • How to use Validations.
Transactions
  • Function of a Transaction in a Script
  • When to Add Transactions
  • Adding Transactions during Recording
  • Adding Transactions after Recording
Framework.
  • What is Framework.
  • Types of Frameworks.
  • What is modular framework.
  • What is DataDriven framework.
  • What is Keyword driven framework.
  • What is Hybrid framework.
  • Use of Framework.
  • Explain me about your framework.
  • How develop the framework.
  • Integration of the framework.
  • How execute the scripts from framework.
Core Java Fundamentals
Language Fundamentals
  • Java Programming Language Keywords
  • Class and Object
  • Data Types
  • Array Declaration, Construction,and Initialization
Flow Control, Exceptions, and Assertions
  • Writing Code Using if and switch
  • Statements
  • Writing Code Using Loops
  • Handling Exceptions
  • Working with the Assertion Mechanism
Object Orientation, Overloading and Overriding, Constructors
  • Benefits of Encapsulation
  • Overridden and Overloaded Methods
Using the java.lang.String Class
  • Using the java.lang.Math Class
  • Using Wrapper Classes
  • Using the equals() Method with
  • Strings and Wrappers and Objects
Inner Classes
  • Method-Local Inner Classes
  • Anonymous Inner Classes
  • Static Nested Classes
Defining, Instantiating, and Starting Threads
  • Preventing Thread Execution
  • Synchronizing Code
  • Thread Interaction
JUnit Introduction
  • Proving it works
  • Starting from scratch
  • Understanding unit testing frameworks
  • Setting up JUnit
  • Testing with JUnit
Object repository.
  • What is object repository.
  • How to use object repository in framework.
  • What is the use of maintaing Object repository.
  • Types of creating object repository.
Additional concepts
  • How to use XPath
  • How to use DOM
  • How to use KeyCommands
Result Analysis.
Interview questions.

Hadoop 2.6.0 Single Node Cluster Setup on Ubuntu 14.10

Big Data Hadoop Administrator Online training course makes you job ready for the role of Hadoop Admin with real time Big Data projects implementation by Layman Learning Courses


HADOOP CLUSTER ADMINISTRATION
Learning Objectives:  In this module, you will understand what is Big Data and Apache Hadoop, How Hadoop solves the Big Data problems, Hadoop Cluster Architecture, Introduction to MapReduce framework, Hadoop Data Loading techniques, and Role of a Hadoop Cluster Administrator.
  • Introduction to Big Data
  • Use cases where Big Data is used
  • Introduction to Hadoop framework
  • Companies using Hadoop
  • HDFS File system
  • Hadoop Architecture
  • MapReduce Framework
  • A typical Hadoop Cluster
  • Hadoop Cluster Administrator: Roles and Responsibilities
  • Current Job Market
Module 2  HADOOP ARCHITECTURE AND CLUSTER SETUP
Learning Objectives:  After this module, you will understand Multiple Hadoop Server roles such as NameNode and DataNode, and MapReduce data processing. You will also understand the Hadoop 1.0 Cluster setup and configuration, Setting up Hadoop Clients using Hadoop 1.0, and important Hadoop configuration files and parameters.
  • Hadoop server roles and their usage
  • Hadoop Installation and Initial Configuration
  • Understand Namenode and Datanodes Communication channels
  • Setup a Single Node Cluster
  • Namenode Metadata’s details
  • Setup a Multi Node Cluster  Deploying Hadoop in pseudodistributed mode
  • Setup Pass phraseless Access
  • Rack Awareness
  • Anatomy of Write and Read
  • Replication Pipeline, Data Processing
  • Installing Hadoop Clients
Module 3: HADOOP CLUSTER: PLANNING AND MANAGING
Learning Objectives:  In this module, you will understand Planning and Managing a Hadoop Cluster, Hadoop Cluster Monitoring and Troubleshooting, Analysing logs, and Auditing. You will also understand Scheduling and Executing MapReduce Jobs, and different Schedulers.
List Planning the Hadoop Cluster
  • Cluster Sizing
  • Hardware considerations
  • Software considerations
  • Managing Jobs
  • Scheduling Jobs
  • Types of schedulers in Hadoop  FIFO
  • Types of schedulers in Hadoop  FAIR
  • Types of schedulers in Hadoop  SCHEDULER
  • Setup Queues and Pools for Jobs
  • Configuring the schedulers and run MapReduce jobs
  • Cluster Monitoring
  • Cluster Troubleshooting
Module 4: BACKUP, RECOVERY AND MAINTENANCE
Learning Objectives:  In this module, you will understand day to day Cluster Administration tasks such as adding and Removing Data Nodes, NameNode recovery, configuring Backup and Recovery in Hadoop, Diagnosing the Node Failures in the Cluster, Hadoop Upgrade etc.
Configure Rack awareness
  • Hadoop Balancer
  • Setting up Secondary Namenode
  • Hadoop Backup
  • How to Whitelist and Blacklist data nodes in a Cluster
  • Add Storage to Datanodes
  • Setup Users and Quota’s
  • Setup Trash for Hadoop
  • Understand Safemode of cluster
  • Details on fsck
  • Namenode Recovery using checkpoint
  • Upgrade Hadoop cluster
  • Copy data across clusters using distcp
  • Diagnostics and Recovery, Cluster Maintenance
Module 5: HADOOP 2.0 AND HIGH AVAILABILITY
Learning Objectives:  In this module, you will understand Secondary NameNode setup and check pointing, Hadoop 2.0 New Features, HDFS High Availability, YARN framework, MRv2, and Hadoop 2.0 Cluster setup in pseudo distributed and distributed mode.
  • Introduction to Hadoop 2.0
  • Understand YARN framework
  • Understand High Availability for Namenode
  • Understand Federation
  • Introduction to Quorum Manager and Automatic failover methods
  • Hadoop 2.0 Cluster setup
  • Deploying Hadoop 2.0 in pseudodistributed mode
  • Deploying a multinode Hadoop 2.0 Cluster
Module 6: CONFIGURING MAPREDUCE, CAPACITY SCHEDULER, HDFS
Learning Objectives:  In this module, you will understand the YARN execution and workflow. You will also learn to configure MapReduce jobs, configure capacity scheduler and HDFS.
  • YARN Execution
  • YARN Workflow
  • MapReduce Job Configuration
  • Configure Capacity Scheduler
  • Configuring HDFS HA
  • Hadoop Log Management
  • Hadoop Auditing and Alerts
Module 7: GETTING ADVANCED TOPICS: QJM, HDFS FEDERATION AND SECURITY
Learning Objectives:  In this module, you will understand basics of Hadoop security, Managing security with Kerberos, HDFS Federation setup and Log Management. You will also understand HDFS High Availability using Quorum Journal Manager (QJM).
  • Configure Hadoop Federation
  • Basics of Hadoop Platform Security
  • Securing the Platform
  • Understand Kerberos
  • Configuring Kerberos on the Cluster
Module 8: OOZIE, PIG CONFIGURATION AND EXAMPLES
Learning Objectives:  In this module, you will understand Setting up Apache Oozie Workflow Scheduler for Hadoop Jobs, Pig Scripting.
  • Introdution to Oozie/Configure Oozie
  • Introduction to Pig Scripting
  • Write Pig Scripts / Process Web logs using Pig
  • Introduction to Hive and Hbase
  • Introduction to NoSql
  • Introduction To MongoDB
  • Understand Indexes
Module 9: HIVE, HBASE ADMINISTRATION
Learning Objectives:  Hcatalog/Hive Administration, deploying HBase with other Hadoop components, Using HBase effectively to load data, writing to and reading from Hbase.
  • Hive Administration
  • HBase Architecture
  • HBase setup
  • HBase and Hive Integration
  • HBase performance optimization and tools
Module 10: CLOUDERA SETUP AND PERFORMANCE TUNING
Learning Objectives:  In this module, you will understand how to configure Hadoop Cluster using Cloudera Maanger. We will also look into performance tuning parameters and other intermediate phases of MapReduce.
  • Look at the important performance tuning parameters
  • Intermediate phases of MapReduce
  • Details of tuning the intermediate phases
  • Hadoop Cluster installation using Cloudera Manager
  • Introduction to alternatives to the Hadoop HDFS and MapReduce
Module 11: GANGLIA
Learning Objectives:  In this module, you will understand how to configure Ganglia for monitoring your Hadoop Cluster.
  • Introduction to ganglia
  • Why Ganglia
  • Components of Ganglia  Gmond, Gmetad, RRDtool
  • Installation and Configuration  Gmond Configuration, Gmetad Configuration, PHP Web Frontend Configuration
  • Setup Monitoring for Hadoop Cluster  Commandline Tools, Gmetric, Gstat
  • How to automate deploys in your infrastructure
Module 12: PUPPET
Learning Objectives:  In this module, you will understand how to use Puppet to automate repetitive tasks
  • Introduction to Puppet
  • How does Puppet work
  • Puppet components  Puppet Master, Puppet Agents
  • Puppet Manifests and Classes
  • Puppet installation and Configuration
  • Deploy configuration for Nodes
Module 13: AMBARI
Learning Objectives:  You will understand how to use Ambari for managing, provisioning & monitoring your clusters.
  • Introduction to Ambari
  • Installing and starting Ambari Server
  • Configuring and Deploying the cluster
  • Choosing and Customizing services
  • Assigning Masters, Slaves and Clients
  • Troubleshooting Ambari deployments
Module 14: AMAZON WEB SERVICES – AWS
Learning Objectives:  In this module, you will understand how to deploy your Hadoop cluster on AWS.
  • Introduction to AWS
  • Different Instance types
  • Get familiar with Common terms on AWS
  • Components of Hadoop on AWS
  • Deploy Hadoop cluster on AWS
  • Explore scalability options