2019 - PI World - San Francisco - Tech Talks
Writing High Performance Applications with AF SDK
This presentation aims to demystify the world of AF SDK query performance. In developer technologies support we often encounter cases where customers would like to know what is the best way to use the AF SDK to query large amounts of data from the PI Data Archive. In short the answer is almost always: it depends. There are several factors inﬂuencing query performance such as the network bandwidth, resources on the PI Data Archive and the data retrieval methods implemented by the client. In this presentation we shall focus on how to optimize performance using those data retrieval methods.
Jason King has been working at OSIsoft for 20 years. Currently, he works on the data access and plugins part of the AF SDK. Previously, he was the development lead for the DataLink product in the clients group and has also worked in the Interfaces group as well.
Shrey graduated from North Carolina State University in 2017 with a Master's Degree in Nuclear Engineering where a majority of his work was focused on writing advanced analytics software for reactor core design. At OSIsoft, he specializes in the PI Developer Technologies support team where we help customers utilize the full value of the PI System by helping design novel solutions for data ingress, egress and analytics tailored to meet specific business needs. As a member of the Data Science Champions team at OSIsoft, Shrey specializes in multivariate modelling and unsupervised learning techniques for time series data.