IBM Cognos Analytics: Architecture and Logging (v11.0) Course Overview

IBM Cognos Analytics: Architecture and Logging (v11.0) Course Overview

The IBM Cognos Analytics: Architecture and Logging (v11.0) course provides a comprehensive overview of the architecture and logging mechanisms within IBM Cognos Analytics. It is designed to help learners understand the various architectural components, how the Service-Oriented Architecture (SOA) is implemented, and the role of the IBM Cognos Dispatcher in request routing and content management caching.

Participants will delve into the specifics of IBM Cognos services, Java memory management, and the monitoring tools available for managing and optimizing performance. The course also covers auditing and logging, including installation, configuration, audit logs, and the Indication Processing Facility (IPF) logging.

Moreover, learners will gain insights into advanced diagnostics through dye tracing, understand the intricacies of Dynamic Query Mode (DQM) logging, and utilize the IBM Cognos Dynamic Query Analyzer (DQA) for query analysis. Component logging and the exploration of additional tools and special task logging are also significant aspects of the curriculum.

This course is ideal for professionals seeking to deepen their knowledge of IBM Cognos Analytics, aiming to ensure efficient system maintenance and troubleshooting. By the end of the course, learners will have a robust understanding of the system's architecture and be proficient in utilizing its logging capabilities to monitor and resolve issues.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

Koenig's Unique Offerings

images-1-1

1-on-1 Training

Schedule personalized sessions based upon your availability.

images-1-1

Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.

images-1-1

4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.

images-1-1

Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Purchase This Course

Fee On Request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

Request More Information

Email:  WhatsApp:

Course Prerequisites

Certainly, here are the minimum required prerequisites for successfully undertaking the IBM Cognos Analytics: Architecture and Logging (v11.0) course:


  • Basic knowledge of IBM Cognos Analytics (ideally, having used the software at a beginner level or having attended introductory courses on IBM Cognos Analytics)
  • Familiarity with the concepts and terminology of multi-tiered architecture in enterprise applications
  • An understanding of web server functionality and how web servers interact with database servers and other backend systems
  • Some exposure to SQL and databases, as it will aid in understanding how IBM Cognos interacts with data sources
  • Basic understanding of Java and Java Memory Management (though in-depth programming knowledge is not required)
  • Comfort with navigating logs and understanding their importance in troubleshooting and monitoring applications

These prerequisites are intended to ensure that participants have the foundational knowledge necessary to grasp the more advanced concepts that will be covered in the IBM Cognos Analytics: Architecture and Logging course. With these basics in place, learners will be well-prepared to benefit from the training and apply the knowledge effectively in their work environments.


Target Audience for IBM Cognos Analytics: Architecture and Logging (v11.0)

The IBM Cognos Analytics course offers in-depth knowledge on architecture and logging, tailored for IT professionals seeking advanced analytics skills.


  • Business Intelligence (BI) Developers
  • IT Architects and Consultants specializing in analytics
  • Data Analysts and Scientists using IBM Cognos
  • System Administrators managing IBM Cognos environments
  • Technical Support Personnel for Cognos Analytics
  • Performance Engineers and Performance Testers
  • BI and Analytics Project Managers
  • Database Administrators involved in BI projects
  • IT Professionals aiming to learn about SOA in Cognos Analytics
  • Cognos Application Developers and Technical Users


Learning Objectives - What you will Learn in this IBM Cognos Analytics: Architecture and Logging (v11.0)?

Course Introduction:

In the IBM Cognos Analytics: Architecture and Logging (v11.0) course, students will gain in-depth knowledge of the system’s architecture, service-oriented components, logging mechanisms, and tools for performance monitoring and troubleshooting.

Learning Objectives and Outcomes:

  • Understand the architectural components of IBM Cognos Analytics 11.0 and their interactions within a service-oriented framework.
  • Describe the IBM Cognos Dispatcher, its role in request routing, and the function of the Content Manager Cache Service.
  • Identify and explore the various IBM Cognos services that support the BI environment.
  • Learn Java memory layout, management techniques, and tools for monitoring Java memory within Cognos.
  • Gain insights into installation, configuration, and audit logging as well as the Indication Processing Facility (IPF) logging.
  • Acquire the skills to perform dye tracing for advanced troubleshooting within the Cognos environment.
  • Explain and utilize Dynamic Query Mode (DQM) logging, including the use of IBM Cognos Dynamic Query Analyzer (DQA).
  • Delve into component logging to understand the detailed workings of Cognos services.
  • Examine additional tools and special task logging for deeper analysis and performance tuning.
  • Apply the knowledge gained to effectively manage, troubleshoot, and optimize an IBM Cognos Analytics implementation.