Download Debugging SAS® Code Ever encounter a SAS error message that

Debugging SAS® Code
Jeff Simpson (SAS)
Ever encounter a SAS error message that didn’t seem to make
sense? Have you gotten lost trying to fix every error when
there doesn’t appear to be anything wrong with your code?
This presentation follow a step-by-step process to list common
error messages and give explanations for finding what
generated them.
Jeff Simpson, Senior Systems Engineer, SAS Customer Loyalty Team
Jeff’s 24 years of tenure at SAS includes 11 years as a Systems Engineer
in SAS in SAS Customer Loyalty and Inside Sales Divisions, 9 years in
SAS’ Research and Development and 4 years in SAS’ Technical Support
Division.
A Day in the Life of Data: Part 4 Graphics and Reporting
Sanjay Matange (SAS)
Although we often work in our own department with little
contact with others, whether they’re on the next floor or
halfway around the world, everyone has an impact on each
other. In this four-part series, each paper examines one of the
four major aspects of SAS® Data Management: initial data
input; data manipulation; data and program management; and
graphics and reporting. Each paper teaches some fundamental
skills and shows how each step adds value to the data.
Sanjay Matange is R & D Director in the Data Visualization Division at
SAS, responsible for the development and support of ODS Graphics.
This includes the Graph Template Language (GTL), Statistical Graphics
(SG) procedures, ODS Graphics Designer and other related graphics
applications. Sanjay has been with SAS for over 20 years and is author
of two SAS Press books.
Using SAS/STAT®: A Gentle Introduction to Some Frequently
Used Tools
T. Winand (SAS)
Frequently, business interventions are evaluated by comparing
two groups with respect to some outcome measure(s). For
example, we might want to compare customers who received
a marketing campaign with customers who did not receive the
campaign, with respect to whether they bought additional
products or services, quantity of a product purchased, or other
measures. We might need to compare two, or more than two,
groups of customers with outcome measure(s) might be
dichotomous (e.g., product buy-up vs. no buy-up) or
continuous (e.g., quantity of a product purchased) with a
variety of distributions. SAS/STAT provides several easy-to-use
tools for such analytic situations, including PROC FREQ (chisquare tests, Fisher’s exact test), PROC TTEST and PROC
NPAR1WAY. This presentation will cover some of the tests
most frequently used in the types of analytic situations
outlined above. We will cover basic guidelines for using
different tests and provide examples. This presentation is
intended as an introduction for SAS users with a minimal
statistics background.
T Winand is a computer software professional and analyst with 24
years’ experience in program design and development, data
management, statistical analysis and reporting. T has fifteen years of
programming, statistical analysis and modeling experience with SAS –
fourteen of those years as a Systems Engineer, Senior Systems Engineer
and Technical Account Manager at SAS. For the majority of his time at
SAS, T has focused his efforts on helping organizations achieve value
and growth through the effective use of analytics: statistical analysis,
descriptive and predictive data mining, text mining, forecasting, and
model management. While at SAS, T has worked with leading
organizations across many different industries but has spent seven
years working exclusively with Health and Life Sciences
organizations. In addition, T has complementary expertise with SAS
capabilities that support the complete analytical lifecycle: data
integration & management, data exploration, operationalization, and
business intelligence. Finally, in recent years, T has helped several large
organizations modernize their SAS architectures to achieve greater
speed, flexibility and scale, to improve processes and utilization of
resources, and, ultimately, to improve value. T graduated from Cornell
University and has an MBA from Kellogg, Northwestern University.
Best Practices: PUT More Errors and Warnings in My Log,
Please!
Kirk Paul Lafler
Demystifying PROC SQL Join Algorithms
Kirk Paul Lafler
Essentials of PDV: Directing the Aim to Understanding the
DATA Step!
Arthur Li (PharmaSUG)
Big Data, Fast Processing Speeds
Gary Ciampa (SAS)
As data sets continue to grow, it is important for programs to
be written very efficiently to make sure no time is wasted
processing data. This paper covers various techniques to speed
up data processing time for very large data sets or databases,
including PROC SQL, DATA step, indexes and SAS® macros.
Some of these procedures may result in just a slight speed
increase, but when you process 500 million records per day,
even a 10 percent increase is very good. The paper includes
actual time comparisons to demonstrate the speed increases
using the new techniques.
Gary Ciampa is currently employed with SAS Institute Inc, Cary, NC and
joined SAS in 1995. He has served in various development roles and
capacities throughout his SAS career to include development and
product manager for the SAS/C and SAS/C++ Compiler suite of
products, development manager for SAS on z/OS and UNIX
environments, and development manager for a series of Enterprise
Systems Management products. Currently, Gary serves as a Software
Manager in the Retail Practice with the Analytic Solutions OnDemand
organization. Prior to joining SAS, Gary worked for IBM in Research
Triangle Park, NC for 13 year, in the TCP/IP development organization.
He also worked at IBM facilities in Manassas, VA and Burlington, VT. Mr.
Ciampa is a retired officer with the NC Air National Guard and served in
roles as a Combat Communications Officer, Air Liaison Officer, F-4D
Weapons Systems Officer and service included overseas deployments
to the Middle East during Operation Enduring Freedom. Mr. Ciampa
holds an Associate Degree in Electronic Engineering and a Bachelor of
Science Degree in Business Management from Liberty University. Gary
lives in Fuquay Varina, NC with his wife Laura, he has two adult children
who are serving in the Armed Forces. His hobbies include cycling and
aviation where he enjoys a commercial and instrument pilot rating.
SAS Solutions OnDemand: Your Partner for SAS Advanced
Analytic Computing
The Information Technology (IT) demands for providing a secure,
robust and agile infrastructure for business is becoming
increasingly more complex. IT organizations are being tasked to
provide faster delivery of solutions, greater capacity to respond
to business requirements and technical competencies for
sophisticated analytic solutions. Business requirements are
increasing in scope due to faster time to market, higher ROI
margins and regulatory compliance. The SAS Solution OnDemand
organization provides a rich set of Software-as-a-Service (SaaS)
and Enterprise Hosting strategies to help both Business and IT
functions meet the challenges for implementing and sustaining
an analytic computing infrastructure.
For the past 10 years, SAS Solutions OnDemand has established a
track record of providing organizations with state-of-the-art
outsourced applications and the subject matter experts to
manage these sophisticated applications. This session will review
the Solutions OnDemand organization, offerings, infrastructure,
and governance capabilities of SAS Solutions OnDemand. SAS
software is delivered to our customers through SaaS
infrastructure for fast, low-risk, time to value business
requirements. Or, for customized off-premise alternatives SAS
Solutions OnDemand provide cost-effective, full-service advanced
analytic hosting.