There are several analytics tools and approaches available for working with PI data: Performance Equations, AF analytics, custom data references, PI ACE, PI DataLInk and Business Intelligence (BI) tools. It can be a quandary in determining which tool should you use for what. Should you focus on only one tool or use a mix? As it turns out, the answer is not as simple as basing it on the specific analytic. Other considerations should be put into the decision including: scalability, reliability, maintainability, and future-proofing, to name a few.
This talk will discuss the various tools available for performing analytics on PI data and their strengths and weaknesses, their scalability, reliability, maintainability, and future-proofing. The tools will be separated into two major classes: server side (persistent) analytics and client side (query time) analytics and the general differences between the two classes. Attendees will learn practical guidelines to for selecting analytics tools
David Soll is the Chief Technology Officer (CTO) of Omicron Development, LLC. He is responsible for the overall technical direction and technology solution set provided by Omicron. He holds a BS in Electrical Engineering from Drexel University and has been working in Information Technology for over 35 years, more than 25 of them with Omicron. He is the past Chair for the Princeton / Central Jersey section of the IEEE and is a past Chair of the Central New Jersey chapter of the IEEE Computer Society and is a senior member of the IEEE. David is also the past Chair and current board member of the New Jersey chapter of the ACM and a senior member of the ACM.
David has a long history of innovation working with OSIsoft and Microsoft technologies. David began working with OSIsoft’s Plant Information (PI) system in its early days, when PC-networking and graphics were emerging technologies. He has followed the development of PI ever since and has helped many major clients adopt and extend PI’s capabilities using .NET technologies.