Apache Training Courses and Workshops

Schools providing training courses, certificates, diplomas or degree programs of Apache Web Server Implementation and Administration




Total 194 training courses and degree programs available around the world.

United States - United Kingdom - Canada - Australia - India

Popular courses:
Apache Hadoop Fundamentals on Power Systems
IBM Open Platform with Apache Hadoop
Apache Web Server Administration
Developing Applications with Apache Struts
Apache Qpid Messaging with Red Hat Enterprise Linux OpenStack Platform
Apache Web Server


Hadoop for Systems Administrators

Course Format: Online
School/Trainer: Intertech, Inc.
Training Center(s)/Venue(s): Eagan, United States
  V

This course covers the essentials of deploying and managing an Apache?Hadoop® cluster. The course is lab intensive with each participant creating their own Hadoop cluster using either the CDH (Cloudera&,#146,s Distribution, including Apache Hadoop) or Hortonworks Data Platform stacks. Core Hadoop services are explored in depth with emphasis on troubleshooting and recovering from common cluster failures. The fundamentals of related services such as Ambari, Zookeeper, Pig, Hive, HBase, Sqoop, Flume, and Oozie are also covered. The course is approximately 60% lecture and 40% labs.

Hadoop Overview
Data Analysis
Big Data
Origins of Hadoop
Hadoop Marketplace
Hadoop Core
Hadoop Ecosystem:
Hadoop Ecosystem (cont):
Hadoop Ecosystem (cont):
Hadoop Ecosystem (cont):
Hadoop Ecosystem (cont):
Cluster Architecture
Hardware/Software Requirements
Running Commands on Multiple Systems

Lab Tasks
Running Commands on Multiple Hosts
Preparing to Install Hadoop

HDFS
Design Goals
Design
Blocks
Block Replication
Namenode Daemon
Secondar... [Read More]

Apache Tomcat 6.0 Administration for Windows

Course Format: Online
School/Trainer: Intertech, Inc.
Training Center(s)/Venue(s): Eagan, United States
  V

This Tomcat 6.0 Administration for Windows class covers the important topics of administering the Tomcat 6.0 server including installation, directory structure, configuration using server.xml, web application deployment, the manager tool, JNDI data sources, logging, and monitoring and management of the server. Note: Where applicable, differences or changes in Version 7.0 will be addressed.

Tomcat Introduction
History of Tomcat
Version Number and Features
Tomcat Components
Catalina
Jasper
Coyote
JEE Overview
MVC Design Pattern
Servlets/JSP
Directory Structure
JNDI

Installing Tomcat
Download
Installation
Environment Variables
Starting the Server
Verifying Server Operation
Stopping the Server

Tomcat Directory Structure
Batch files in /bin
.exe files
/conf
server.xml
context.xml
web.xml
/logs
/webapps
/lib
/work
/temp

Configuring Tomcat
Role of serverxml
Instance Layout
Server
Service
Virtual Host
Context
serverxml elements Read More]

Apache Web Server Administration

Course Format: Online
School/Trainer: Intertech, Inc.
Training Center(s)/Venue(s): Eagan, United States
  V

Introduction to Apache
Apache HTTP Server is an open-source project managed by the Apache Software Foundation (ASF)
The ASF supports many &,quot,projects&,quot,, including:
HTTP Web server (Apache)
Jakarta
Perl, PHP, XML, TCL, Ant, Logging
and many others...
Downloading Apache
Download the Apache Binary for Windows
Make sure Port 80 is available
Run the Install Program
Change the install folder to be c:\Apache
Click &,quot,Install&,quot, to complete the installation
Test the Installation

Starting and Stopping Apache
Start/Stop the Server on Windows
The Apache Monitor
Install Apache as a Service
The apachectl Script

The Apache Configuration Files
The contents of the /conf directory
The httpd.conf file
Directives
Sections
The Include Directive
The Options Directive
The Installed Directories

The .htaccess File
Overview of .htacces files
Configuring .htaccess
The AllowOverride directive
Setting directory authentication
Allowing C... [Read More]

Apache Nifi

Course Format: Classroom
School/Trainer: Anne Arundel Community College
Training Center(s)/Venue(s): Annapolis, Arnold, Baltimore, Edgewater, Gambrills, Hanover, Laurel, Severn, United States
  V

This accelerated, hands-on course provides the guidance you need to setup, configure and start using Apache Nifi right away. In this course you will practice processing data using Apache Nifi by working through sample scenarios where you will learn to create and manage data flows. Topics include installing and configuring Nifi, exploring the Nifi graphical user interface, building a simple data flow, and administering/managing Nifi instances and clustering Nifi instances. All you need prior to starting this course is computer navigation and commands, and a basic understanding of XML.

Apache Qpid Messaging with Red Hat Enterprise Linux OpenStack Platform

Course Format: Classroom
School/Trainer: Global Knowledge UAE
Training Center(s)/Venue(s): Abu Dhabi, Dubai, United Arab Emirates
  V

Implementing the Apache Qpid messaging broker

Install Apache Qpid and secure Qpid using SASL and SSL

Queueing with Apache Qpid

Discuss message workflow in Apache Qpid

Implementing Apache Qpid in Red Hat Enterprise Linux OpenStack Platform

Configure Apache Qpid as a message broker for the Cinder block storage service

Troubleshooting Apache Qpid

Troubleshoot Apache Qpid internal workflows with an OpenStack service

Implementing Apache Qpid high availability

Configure high availability with Apache Qpid

Performance tuning for Apache Qpid

Measure and tune Apache Qpid

IBM Open Platform with Apache Hadoop

Course Format: Classroom
School/Trainer: Global Knowledge USA IBM Training Centers
Training Center(s)/Venue(s): Arlington, Atlanta, Cary, Irving, Morristown, New York City, Santa Clara, Schaumburg, Seattle, United States
  V

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

Unit 1: IBM Open Platform with Apache Hadoop

Exercise 1: Exploring the HDFS

Unit 2: Apache Ambari

Exercise 2: Managing Hadoop clusters with Apache Ambari... [Read More]

Apache Hadoop Fundamentals on Power Systems

Course Format: Classroom
School/Trainer: Global Knowledge USA IBM Training Centers
Training Center(s)/Venue(s): Arlington, Atlanta, Cary, Irving, Morristown, New York City, Santa Clara, Schaumburg, Seattle, United States
  V

This course describes the concepts and implementation details to install, configure, and implement Hadoop on IBM Power Systems. The course covers planning for a Hadoop installation, customizing the environment, management, and using Hadoop. Hands-on exercises reinforce the lecture and give the students the experience of installing and configuring Hadoop on a Power Systems-based environment.

Lecture:

?Unit 1 - Introduction to Data Analytics
?Unit 2 - Introduction to Hadoop
?Unit 3 - Hadoop planning and implementation
?Unit 4 - Hadoop configuration management
?Unit 5 - Hadoop administration

Labs:

?Exercise 1 - Introduction to the lab environment
?Exercise 2 - Hadoop planning and implementation
?Exercise 3 - Hadoop configuration management
?Exercise 4 - Hadoop administration

IBM Open Platform with Apache Hadoop

Course Format: Classroom
School/Trainer: Global Knowledge Canada IBM Training Centres
Training Center(s)/Venue(s): Halifax, Mississauga, Montreal, Ottawa, Toronto, Winnipeg, Canada
  V

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

Unit 1: IBM Open Platform with Apache Hadoop

Exercise 1: Exploring the HDFS

Unit 2: Apache Ambari

Exercise 2: Managing Hadoop clusters with Apache Ambari... [Read More]

Apache Hadoop Fundamentals on Power Systems

Course Format: Classroom
School/Trainer: Global Knowledge Canada IBM Training Centres
Training Center(s)/Venue(s): Halifax, Mississauga, Montreal, Ottawa, Toronto, Winnipeg, Canada
  V

This course describes the concepts and implementation details to install, configure, and implement Hadoop on IBM Power Systems. The course covers planning for a Hadoop installation, customizing the environment, management, and using Hadoop. Hands-on exercises reinforce the lecture and give the students the experience of installing and configuring Hadoop on a Power Systems-based environment.

Lecture:

?Unit 1 - Introduction to Data Analytics
?Unit 2 - Introduction to Hadoop
?Unit 3 - Hadoop planning and implementation
?Unit 4 - Hadoop configuration management
?Unit 5 - Hadoop administration

Labs:

?Exercise 1 - Introduction to the lab environment
?Exercise 2 - Hadoop planning and implementation
?Exercise 3 - Hadoop configuration management
?Exercise 4 - Hadoop administration

IBM Open Platform with Apache Hadoop

Course Format: Classroom
School/Trainer: Global Knowledge UK IBM Training Centres
Training Center(s)/Venue(s): Aberdeen, Bath, Bristol, Leeds, London, Wokingham, United Kingdom
  V

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

Unit 1: IBM Open Platform with Apache Hadoop

Exercise 1: Exploring the HDFS

Unit 2: Apache Ambari

Exercise 2: Managing Hadoop clusters with Apache Ambari... [Read More]

Apache Hadoop Fundamentals on Power Systems

Course Format: Classroom
School/Trainer: Global Knowledge UK IBM Training Centres
Training Center(s)/Venue(s): Aberdeen, Bath, Bristol, Leeds, London, Wokingham, United Kingdom
  V

This course describes the concepts and implementation details to install, configure, and implement Hadoop on IBM Power Systems. The course covers planning for a Hadoop installation, customizing the environment, management, and using Hadoop. Hands-on exercises reinforce the lecture and give the students the experience of installing and configuring Hadoop on a Power Systems-based environment.

Lecture:

?Unit 1 - Introduction to Data Analytics
?Unit 2 - Introduction to Hadoop
?Unit 3 - Hadoop planning and implementation
?Unit 4 - Hadoop configuration management
?Unit 5 - Hadoop administration

Labs:

?Exercise 1 - Introduction to the lab environment
?Exercise 2 - Hadoop planning and implementation
?Exercise 3 - Hadoop configuration management
?Exercise 4 - Hadoop administration

IBM Open Platform with Apache Hadoop

Course Format: Classroom
School/Trainer: Global Knowledge UAE IBM Training Center
Training Center(s)/Venue(s): Abu Dhabi, Dubai, United Arab Emirates
  V

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

Unit 1: IBM Open Platform with Apache Hadoop

Exercise 1: Exploring the HDFS

Unit 2: Apache Ambari

Exercise 2: Managing Hadoop clusters with Apache Ambari... [Read More]

Apache Hadoop Fundamentals on Power Systems

Course Format: Classroom
School/Trainer: Global Knowledge UAE IBM Training Center
Training Center(s)/Venue(s): Abu Dhabi, Dubai, United Arab Emirates
  V

This course describes the concepts and implementation details to install, configure, and implement Hadoop on IBM Power Systems. The course covers planning for a Hadoop installation, customizing the environment, management, and using Hadoop. Hands-on exercises reinforce the lecture and give the students the experience of installing and configuring Hadoop on a Power Systems-based environment.

Lecture:

?Unit 1 - Introduction to Data Analytics
?Unit 2 - Introduction to Hadoop
?Unit 3 - Hadoop planning and implementation
?Unit 4 - Hadoop configuration management
?Unit 5 - Hadoop administration

Labs:

?Exercise 1 - Introduction to the lab environment
?Exercise 2 - Hadoop planning and implementation
?Exercise 3 - Hadoop configuration management
?Exercise 4 - Hadoop administration

Apache Qpid Messaging with Red Hat Enterprise Linux OpenStack Platform

Course Format: Classroom
School/Trainer: Global Knowledge India
Training Center(s)/Venue(s): Bangalore, Chennai, Delhi, Pune, India
  V

Implementing the Apache Qpid messaging broker

Install Apache Qpid and secure Qpid using SASL and SSL

Queueing with Apache Qpid

Discuss message workflow in Apache Qpid

Implementing Apache Qpid in Red Hat Enterprise Linux OpenStack Platform

Configure Apache Qpid as a message broker for the Cinder block storage service

Troubleshooting Apache Qpid

Troubleshoot Apache Qpid internal workflows with an OpenStack service

Implementing Apache Qpid high availability

Configure high availability with Apache Qpid

Performance tuning for Apache Qpid

Measure and tune Apache Qpid

Apache Qpid Messaging with Red Hat Enterprise Linux OpenStack Platform

Course Format: Classroom
School/Trainer: Global Knowledge Malaysia
Training Center(s)/Venue(s): Petaling Jaya, Malaysia
  V

Implementing the Apache Qpid messaging broker

Install Apache Qpid and secure Qpid using SASL and SSL

Queueing with Apache Qpid

Discuss message workflow in Apache Qpid

Implementing Apache Qpid in Red Hat Enterprise Linux OpenStack Platform

Configure Apache Qpid as a message broker for the Cinder block storage service

Troubleshooting Apache Qpid

Troubleshoot Apache Qpid internal workflows with an OpenStack service

Implementing Apache Qpid high availability

Configure high availability with Apache Qpid

Performance tuning for Apache Qpid

Measure and tune Apache Qpid

Apache Qpid Messaging with Red Hat Enterprise Linux OpenStack Platform

Course Format: Classroom
School/Trainer: Global Knowledge Indonesia
Training Center(s)/Venue(s): Jakarta, Indonesia
  V

Implementing the Apache Qpid messaging broker

Install Apache Qpid and secure Qpid using SASL and SSL

Queueing with Apache Qpid

Discuss message workflow in Apache Qpid

Implementing Apache Qpid in Red Hat Enterprise Linux OpenStack Platform

Configure Apache Qpid as a message broker for the Cinder block storage service

Troubleshooting Apache Qpid

Troubleshoot Apache Qpid internal workflows with an OpenStack service

Implementing Apache Qpid high availability

Configure high availability with Apache Qpid

Performance tuning for Apache Qpid

Measure and tune Apache Qpid

Apache Qpid Messaging with Red Hat Enterprise Linux OpenStack Platform

Course Format: Classroom
School/Trainer: Global Knowledge China
Training Center(s)/Venue(s): Guangzhou, China
  V

Implementing the Apache Qpid messaging broker

Install Apache Qpid and secure Qpid using SASL and SSL

Queueing with Apache Qpid

Discuss message workflow in Apache Qpid

Implementing Apache Qpid in Red Hat Enterprise Linux OpenStack Platform

Configure Apache Qpid as a message broker for the Cinder block storage service

Troubleshooting Apache Qpid

Troubleshoot Apache Qpid internal workflows with an OpenStack service

Implementing Apache Qpid high availability

Configure high availability with Apache Qpid

Performance tuning for Apache Qpid

Measure and tune Apache Qpid

IBM Open Platform with Apache Hadoop

Course Format: Classroom
School/Trainer: Global Knowledge India IBM Training Center
Training Center(s)/Venue(s): Bangalore, Chennai, Delhi, Pune, India
  V

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

Unit 1: IBM Open Platform with Apache Hadoop

Exercise 1: Exploring the HDFS

Unit 2: Apache Ambari

Exercise 2: Managing Hadoop clusters with Apache Ambari... [Read More]

Apache Hadoop Fundamentals on Power Systems

Course Format: Classroom
School/Trainer: Global Knowledge India IBM Training Center
Training Center(s)/Venue(s): Bangalore, Chennai, Delhi, Pune, India
  V

This course describes the concepts and implementation details to install, configure, and implement Hadoop on IBM Power Systems. The course covers planning for a Hadoop installation, customizing the environment, management, and using Hadoop. Hands-on exercises reinforce the lecture and give the students the experience of installing and configuring Hadoop on a Power Systems-based environment.

Lecture:

?Unit 1 - Introduction to Data Analytics
?Unit 2 - Introduction to Hadoop
?Unit 3 - Hadoop planning and implementation
?Unit 4 - Hadoop configuration management
?Unit 5 - Hadoop administration

Labs:

?Exercise 1 - Introduction to the lab environment
?Exercise 2 - Hadoop planning and implementation
?Exercise 3 - Hadoop configuration management
?Exercise 4 - Hadoop administration

IBM Open Platform with Apache Hadoop

Course Format: Classroom
School/Trainer: Global Knowledge Malaysia IBM Training Center
Training Center(s)/Venue(s): Petaling Jaya, Malaysia
  V

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core --namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari -- as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

Unit 1: IBM Open Platform with Apache Hadoop

Exercise 1: Exploring the HDFS

Unit 2: Apache Ambari

Exercise 2: Managing Hadoop clusters with Apache Ambari... [Read More]

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United Kingdom - United States



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