Webinars

Fortune 500 companies are increasingly using open-source data solutions in the pursuit of big data, IoT, IoAT, and/or AI initiatives. This is because deep knowledge of these resources enable companies to reduce — even eliminate — license fees and the cost of data ownership by an average of 70 percent. 

Discover how to increase profits for shareholders as part of a new executive briefing series hosted by data innovation leaders at Sunset Learning Institute and DFHeinz. The first session begins Sept 12 at noon and serves to introduce companies to open-source data solutions that enable teams to pursue big data, IoT, IoAT, and/or AI. The second evening session will take place for companies interested in how to optimize faster streaming & batch analysis.

Open-source projects are freely available, easily secured and built by best-in-class developers, or, members of the Apache Software Foundation (ASF). Featured event host, Daryl Heinz, is a seasoned ASF contributor who has helped guide global companies like Netflix and NASA toward a vendor agnostic, future-proof approach to data systems. He says the demand for “component-oriented design” and software reusability methodologies comes as a direct result of the need for more computational power to manage more information coming in from more data sources.

“It’s easy to get shiny object syndrome,” Heinz said. “This is why these briefings are about getting laser-like focus. Our goal for attendees to is eliminate “big data” license fees while increasing the capacity for infinite storage and analysis.”

Attendees will discover how to optimize batch or “real-time” streaming analysis and introduce software reusability principles into the workplace. These two capabilities, according to Heinz, save the average company 70 percent or more on overall labor, storage, and analysis costs.