IBM MQ V9 System Administration (using Linux for labs)

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.

Introduction to statistical analysis 

• Identify the steps in the research process
• Identify measurement levels

 
Describing individual variables 

• Chart individual variables
• Summarize individual variables
• Identify the normal distribution
• Identify standardized scores

 
Testing hypotheses 

• Principles of statistical testing
• One-sided versus two-sided testing
• Type I, type II errors and power

 
Testing hypotheses on individual variables 

• Identify population parameters and sample statistics
• Examine the distribution of the sample mean
• Test a hypothesis on the population mean
• Construct confidence intervals
• Tests on a single variable

 
Testing on the relationship between categorical variables 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of independence
• Assumptions
• Identify differences between the groups
• Measure the strength of the association

 
Testing on the difference between two group means 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of two equal group means
• Assumptions

 
Testing on differences between more than two group means 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of all group means being equal
• Assumptions
• Identify differences between the group means

 
Testing on the relationship between scale variables 

• Chart the relationship
• Describe the relationship
• Test the hypothesis of independence
• Assumptions
• Treatment of missing values
•  

Predicting a scale variable: Regression 

• Explain linear regression
• Identify unstandardized and standardized coefficients
• Assess the fit
• Examine residuals
• Include 0-1 independent variables
• Include categorical independent variables

 
Introduction to Bayesian statistics 

• Bayesian statistics and classical test theory
• The Bayesian approach
• Evaluate a null hypothesis
• Overview of Bayesian procedures in IBM SPSS Statistics

 
Overview of multivariate procedures 

• Overview of supervised models
• Overview of models to create natural groupings

1. Course introduction
2. IBM MQ review
3. IBM MQ installation and deployment options
4. Creating a queue manager and queues
5. Exercise: Using commands to create a queue manager and queues
6. Introduction to IBM MQ Explorer
7. Exercise: Using IBM MQ Explorer to create queue managers and queues
8. Testing the IBM MQ implementation
9. Exercise: Using IBM MQ sample programs to test the configuration
10. Implementing distributed queuing
11. Exercise: Connecting queue managers
12. IBM MQ clients
13. Exercise: Connecting an IBM MQ client
14. Implementing trigger messages and monitors
15. Exercise: Implementing a trigger monitor
16. Diagnosing problems
17. Exercise: Running an IBM MQ trace
18. Implementing basic security in IBM MQ
19. Exercise: Controlling access to IBM MQ
20. Backing up and restoring IBM MQ messages and object definitions
21. Exercise: Using a media image to restore a queue
22. Exercise: Backing up and restoring IBM MQ object definitions
23. Introduction to queue manager clusters
24. Exercise: Implementing a basic cluster
25. Monitoring and configuring IBM MQ for performance
26. Exercise: Monitoring IBM MQ for performance
27. Course summary

• This course is designed for technical professionals who require the skills to administer IBM MQ queue managers on distributed operating systems, in the Cloud, or on the IBM MQ Appliance.

• Basic knowledge of IBM MQ V9 concepts and features, obtained either through experience or by successfully completing Technical Introduction to IBM MQ (WM103G) or Technical Introduction to IBM MQ (ZM103G)
• Ability to invoke standard functions within the operating system that is used in the lab exercises
• Some knowledge of TCP/IP configuration