David Horvath, CCP
IT Weanie
Philadelphia, Pennsylvania, United States
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• David is an IT Professional who has worked with a wide variety of platforms over the years with a variety of development and analysis tools.
• This is not his first philly.net session and far from his first presentation – having presented workshops and seminars in Australia, France, the US, Canada, and Oxford England (about the British Author Nevil Shute).
• His undergraduate is in Computer and Information Sciences from Temple University and holds a Masters in Organizational Dynamics from UPENN. He holds the Certified Computing Professional designation.
• Most of his career has been in consulting (although recently he has been in house) in the Philadelphia PA area.
• He has several books to his credit (none directly Windows related) and is an Adjunct Instructor covering IT topics.
Area of Expertise
Topics
Hands On: Learning Data Analytics through the use of SAS University Edition
Organizations have the need for data analyzers under a variety of job titles (Data Scientist, Data Analyst, Quantative Modeler, etc.). But finding those with the technical skills to perform those tasks with large volumes of data can be difficult. There is plenty of talent who have the necessary understanding to perform that analysis but may not have experience with the tools your organization is using (like SAS). When the schools fail in this area, one alternative is for the organization to assist individuals learn those skills and grow within the organization.
Where it may not be acceptable to spend the learning time while at work using work resources, the use of SAS University Edition provides that opportunity. This version is available free of charge for non-commercial use (learning is certainly non-commercial).
While oriented for the employer, the approaches can work for students who want to prepare for a job in this area as well as the educational institutions who will be training them.
The session will cover:
• Acquiring/installing SAS University Edition
• Approaches for instructing/learning including "Brown Bag Lunches" and more formal training
• Combining the informal training with formal courses for a more "Just in Time" result (and retaining the learning)
• Motivating and rewarding employees for the learning activities
• Advantages, disadvantages, tips and tricks
• Quick First Program
• Getting Data
• Saving Data
• Sorting
• Control Breaks and Selection
• Expressions
• Important Options
• Important and Interesting PROCs
• Other Sources of Information
Learning Data Analytics through the use of SAS University Edition
Organizations have the need for data analyzers under a variety of job titles (Data Scientist, Data Analyst, Quantative Modeler, etc.). But finding those with the technical skills to perform those tasks with large volumes of data can be difficult. There is plenty of talent who have the necessary understanding to perform that analysis but may not have experience with the tools your organization is using (like SAS). When the schools fail in this area, one alternative is for the organization to assist individuals learn those skills and grow within the organization.
Where it may not be acceptable to spend the learning time while at work using work resources, the use of SAS University Edition provides that opportunity. This version is available free of charge for non-commercial use (learning is certainly non-commercial).
While oriented for the employer, the approaches can work for students who want to prepare for a job in this area as well as the educational institutions who will be training them.
The session will cover:
• Acquiring/installing SAS University Edition
• Approaches for instructing/learning including "Brown Bag Lunches" and more formal training
• Combining the informal training with formal courses for a more "Just in Time" result (and retaining the learning)
• Motivating and rewarding employees for the learning activities
• Advantages, disadvantages, tips and tricks
Thinking outside the box: Leveraging "UNIX Tools" (GNU) for Data Analysis and Validation
Life would be so much easier if everything was in a database or pulled via API. But that is not the case. All too often we get data files (or have to send them) in various formats. This session discusses some of the tools available to help you figure out what the file looks like so you can pull it apart using those tools or your tool-of-preference. While the GNU version of these tools will be the focus, the skills learned apply to many different platforms. Being available on so many platforms gives you lots of choices. Your choices include Microsoft’s Bash under Windows 10, Cygwin under many Microsoft Windows versions, MAC OSX, the Linux core of Android, commercial Linux — like Red Hat Enterprise, and commercial UNIX — like IBM’s AIX or Sun/Oracle’s Solaris.
Of particular interest are ‘head’, ‘tail’, ‘wc’, ‘awk’, ‘dd conv’, and shells.
A few of the differences between UNIX/Linux and Windows will also be discussed to ease your shifts in our heterogeneous environments. This knowledge also comes in handy if you need to migrate code from an existing UNIX/Linux-based application.
Zen and the Art of Programming
Although software development is taught as a STEM out of Science or Engineering schools, it is as much an art or craft a creative process as a science. This presentation focuses on innovative problem solving techniques – the tools and techniques to use when your normal process just doesn’t seem to get you to a solution. Much of the information in this talk is based on Robert Pirsig’s Zen and the Art of Motorcycle Maintenance, which, although it is focusing on Motorcycles, applies to all kinds of problem spaces (and Pirsig was a tech writer for IBM). These techniques have served me well over the years. The difference in art versus science approaches is actually supported by the way the brain works. The talk will cover such areas as:
* Traditional Problem Solving Methods, where they fall down
* Eastern techniques, advantages, disadvantages
* General Tips and how they apply in specific examples
* Brain versus Mind
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