Jim Czuprynski
Chief StoryTeller at Zero Defect Computing, Inc.
Bartlett, Illinois, United States
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Jim Czuprynski has over forty years of professional experience in Information Technology, serving diverse roles at several Fortune 1000 companies before becoming an Oracle DBA in 2001. He has been an Oracle ACE Director - one of just 100 in the world - since 2014 and is a sought-after public speaker on technology, mentorship and leadership at conferences on six continents.
Jim has authored 150+ articles on database administration, Machine Learning / Analytics, and application development since 2003 at databasejournal.com, IOUG SELECT, and ODTUG TechCeleration. He's also co-authored four books on Oracle database technology.
Jim’s blog, Generally … It Depends (https://jimthwhyguy.com), contains his regular observations on state of the IT industry.
Area of Expertise
Topics
Panel: When Property Graphs Meet SQL: Demos and Panel Discussion
With Oracle Database 23c, you can use SQL to apply the power of graph analytics to your relational data - opening up a range of use cases based on relationships. The SQL:2023 standard includes new SQL syntax to write graph queries and combine them with any database query, and use them in any workload: analytics, data warehouse, or OLTP.
In this lively demo/panel discussion, speakers will share cool graph use cases - from exploring how trends and influencers impact customer goodwill, to navigating code dependencies in multi-million line code bases to understand the repercussions of changes. They'll share examples and best practices to inspire you to introduce property graphs to your SQL.
Featuring speakers from partners and Oracle, including:
Jim Czuprynski, Zero Defect Computing
Oskar van Rest, Oracle
Jan Michels, Oracle
Moderator: Melli Annamalai, Oracle
You Down With OPG? Leverage Operational Property Graphs in 23c
A modern business truism is that a lie can circle the globe in the time it takes for truth to put on its shoes. Transactional inquiries and OLAP analyses are old hat - the next frontier involves understanding exactly how customers’ habits and attitudes influence their network of fellow customers in real time, even if they’re personally unknown to each other. Fortunately, Oracle 23c’s new Operational Property Graphs (OPGs) make it possible to discover what trends are impacting customer goodwill even while influencers are posting their reviews.
Schröedinger’s Document: JSON Relational Duality in Oracle 23c
There’s an argument raging right now about which format is best for managing our ever-growing data: a JSON document, or a relational table? The answer is simple: Yes! Oracle 23c lets us handle data in JSON format regardless of whether it’s stored as actual intra-database JSON documents, or within traditional relational tables. Join me as I explore and demonstrate unique use cases for 23c’s new JSON Relational Duality Views, including OLTP, graph, spatial, and analytics applications.
I’m an IDIYoT: Improving Water Usage Efficiency Via OCI and Edge Technology
Human civilization depends not just on energy – without fresh water, it will simply cease to function. The good news is that efficient water usage through IoT “edge” technology paired with machine learning and analytics may just make all the difference. I’ll demonstrate a small-scale vegetable garden watering system controlled by Raspberry Pi and monitored via Oracle Cloud Infrastructure (OCI) for efficient water usage.
Found In Space, Just In Time: Oracle 23c’s New Spatio-Temporal Features
Oracle database technology makes it simple to identify exactly where a point on the surface of the earth is, and even the geospatial boundary it’s within. But starting in Oracle 23c, it’s now possible to track positions within spatio-temporal dimensions - so it’s now possible to build sophisticated logistics and position tracking applications on a grand scale. I'll demonstrate these capabilities using an APEX application that helps track the location of an EV as it traverses several locales and searches for available charging stations.
Charge Me Up! Locating Optimal Charge Points Using ML and GIS Techniques
You’re running late for the final 45-minute interview for your new developer position, your brand-new EV’s battery is down to 15%, and if you don’t pick up your five-year-old at daycare on time today, it’ll cost you big time. So where’s the closest charging point? And why the heck did they put it over there?
This session will take a look at new realities that Smart Cities and the coming re-electrification movement will bring to our world as we transition to EVs. I’ll show how Machine Learning, Analytics, and GIS toolsets can be deployed to determine optimal placement of charging stations based on publicly-available data, as well as provide users the capability to quickly locate the closest and best charge point for their needs at the time.
Through presentations and online demonstrations, this session will:
• Use Oracle machine learning algorithms and analytics to figure out which types of charging stations should be placed optimally to benefit EV owners
• Leverage APEX’s map region to display where those stations should be placed and what coverage and capacity they’re likely to provide
• Demonstrate a simple mobile application to help EV drivers to locate the right charger for their immediate recharging needs
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