Guerrilla Data Analysis Techniques (GDAT)

Guerrilla Data Analysis Techniques (GDAT)

Instructor: Dr. Neil J. Gunther
Performance Dynamics Consulting

R statistical plots
Emphasizing the use of R statistical tools and PDQ-R

Contents

1  Purpose
2  Certification
3  Course Goals
4  Dates and Registration
5  Course Outline
    5.1  GDAT Day 1
    5.2  GDAT Day 2
    5.3  GDAT Day 3
    5.4  GDAT Day 4
    5.5  GDAT Day 5
6  Guest Instructors
7  Terms and Conditions
8  Textbooks

1  Purpose

You already understand the essential concepts of computer system capacity planning (e.g., Level II certification) and you've collected cubic light years of performance data. But now you realize that's not sufficient. Why? Because raw performance data is not the same thing as performance information. To extract the pertinent information, you need to transform your data. And that's precisely what this class teaches you.
Moreover, the data analysis techniques we present are general purpose, and therefore not tied to any particular computing platform or data collection tools.
Although there are no prerequisites, it is strongly recommended that you take the Level II GCaP class before embarking on the this Level III GDAT class.

2  Certification

This class corresponds to Guerrilla Capacity Planner: Level III certification. The levels are defined as:
  1. Entry level, e.g., Guerrilla Boot Camp.
  2. Exposure to a wide variety of computer systems capacity planning concepts, methods, and tools that can be adapted opportunistically to support the needs of enterprise-level platform-independent performance management. An example class is Guerrilla Capacity Planning.
  3. Detailed study of a particular capacity planning technique or performance analysis tool.
A printed certificate reflecting the level of achievement is awarded to each attendee who completes the course.
Although there are no prerequisites, it is strongly recommended that you take the Level II GCaP class before embarking on the this Level III GDAT class.

3  Course Goals

After completing this course, students will know how to:

4  Dates and Registration

Check out the schedule for dates and online registration. Additional registration details are provided at the end of this page.

Who Should Attend

This class is intended for application scientists and engineers, computer architects, compiler writers, and software engineers who use or design high-performance computer systems. The level of the presentation is appropriate for both practitioners and students. Experts from any scientific discipline will find this class useful in helping to understand how to appropriately measure and statistically analyze the performance of their systems and applications.
Content level: 20% beginner, 60% intermediate, 20% advanced.

5  Course Outline

Class begins at 9am and ends at 5pm each day.
A morning break of half an hour is serviced around 10:30am
Seated lunch service is provided from Noon until 1pm.
A serviced afternoon break of half an hour occurs around 3:00pm
A large number of practical exercises (with solutions in R) will be given and discussed throughout the five days. You are encouraged to bring a laptop computer.

5.1  GDAT Day 1

5.2  GDAT Day 2

5.3  GDAT Day 3

5.4  GDAT Day 4

5.5  GDAT Day 5


6  Guest Instructors

From time to time, depending on availability and location, one or more of the following guest instuctors may be involved:
David Lilja:
David is currently Professor of Electrical and Computer Engineering at the University of Minnesota in Minneapolis. His expertise lies in the application of statistical analysis of computer simulations and design of experiments.
Jim Holtman:
Jim previously worked at Bell Labs when R (then called S) was being developed and has therefore essentially been using R since its inception. Currently, he is working with the research group at Kroger's grocery stores doing simulations of scheduling protocols using R.
Stephen O'Connell:
Stephen is something of a model Guerrilla student in that he took to R in earnest after attending a GDAT class several years ago. Since then he has also learnt how to apply machine learning tools in R to computer system performance and capacity planning data.

7  Terms and Conditions

Tuition Fees

Please consult the Class Schedule page for current pricing and conditions.

Transportation

Information will be sent upon receipt of enrollment. A packet will include airport and transportation options.

Reservations

All confirmed reservations must be must be accompanied by a purchase order number, a check for the tuition, or credit card information for billing. Courtesy Reservations will be held for up to 30 days in order for paperwork to be processed so long as there is suffcient time and adequate space in thecourse.

8  Textbooks

Currently, there is no official textbook for this class.

Location

Please consult the Class Schedule for hotel location details. The city of Pleasanton is right next door to Castro Valley.

Meals

Breakfast, lunch, morning and afternoon breaks will be catered for by the hotel each day. See the Mini Survival Guide explaining how to get to the hotel and a list of local restaurants to eat at, once you do.



File translated from TEX by TTH, version 3.38.
On 4 Dec 2013, 13:35.