Trainings : WEB 2.0


PHP/MySQL/Drupal

PHP/Drupal are fast entering the enterprise market and taking over Java and .NET applications. If you are still thinking Java and .NET, you are living in the past. Beat the crowd, and enter the world of Web Development by learning PHP/MSQL/Drupal from our experienced trainers.

All are trainings are classroom only and is limited candidates per batch so we carefully screen and evaluate each candidate before we select. Some pre-requisites for this course is


Hadoop Training (3 Days)
Hadoop: Overview
  • Move computation not data.
  • Hadoop performance and data scale facts.
  • Hadoop in the context of other data stores.
  • The Apache Hadoop Project.
  • Hadoop – an inside view: MapReduce and HDFS.
  • The Hadoop Ecosystem.
  • What about NoSQL?
How MapReduce Works
  • Anatomy of a MapReduce Job Run
  • Job Submission Job Initialization, Task Assignment, Task Execution
  • Progress and Status Updates
  • Job Completion, Failures
  • Job Scheduling
  • Fair Scheduler
  • Shuffle and Sort - Map Side, Reduce Side
  • Configuration Tuning
  • Task Execution, Speculative Execution, Task JVM Reuse, Skipping Bad Records
  • The Task Execution Environment
  • Distributed Cache
MapReduce Map and Reduce
  • Java Map Reduce
  • Running a Distributed Map.
  • Reduce Job Hadoop Streaming: Python
Hadoop Administrator
  • Setting Up a Hadoop Cluster
  • Cluster Specification
  • Network Topology
  • Cluster Setup and Installation
  • SSH Configuration
  • Hadoop Configuration
  • Configuration Management
  • Environment Settings
  • Important Hadoop Daemon Properties
  • Hadoop Daemon Addresses and Ports
  • Post Install
  • Benchmarking a Hadoop Cluster: TeraByte Sort on Apache
  • Hadoop on Amazon EC2
  • Monitoring, Logging Routine Administration Procedures
  • Commissioning and Decommissioning Nodes
  • Upgrades
The Hadoop Distributed Filesystem
  • HDFS Design & Concepts
  • Blocks, Namenodes and Datanodes
  • hadoop fs The Command-Line Interface
  • Basic Filesystem Operations
  • Reading Data from a Hadoop URL
  • Reading Data Using the FileSystem API
  • Data Flow Anatomy of a File Read
  • Anatomy of a File Write Coherency Model
Pig
  • Installing and Running Pig
  • Execution Types
  • Running Pig Programs
  • User-Defined Functions
Hive
  • Basic concepts.
  • HiveQL.
  • Serdes
  • Metastore
HBase
  • Concepts Data Model, Schema Design
  • Test Drive
  • Clients Java
  • REST and Thrift
  • Metrics
 


iOS Application Development

Interested in iPhone or Android application development? Want to join the next big technological evolution and build a successful career as a mobile developer? Learn to write mobile Applications using Objective-C ,Cocoa Touch framework! and Android SDK ,Java by the end of the training, you will have written your own native mobile applications.

All are trainings are classroom only and is limited candidates per batch so we carefully screen and evaluate each candidate before we select. Some pre-requisites for this course is