Implementing Our Solution
Learn and understand the holistic approach to solving a problem and go beyond feature matching with this curated lesson from Cloud Academy in partnership with Calculated Systems LLC.
Engineer centric, this lesson, split into four modules, will cover a broad range of topics to deepen your knowledge in the realm of AI and IOT. Starting with gathering business requirements and matching capabilities to technologies, you will move on to collaboratively build solutions to problems with stakeholders; all leading to being able to build and develop key processes and solutions. The core development takeaways from this Calculated Systems lesson include developing process, technology, and executable solution architecture; all culminating in picking the right solution for your team and enterprise to successfully move forward. An important addition to this lesson will be found in the final module where you will learn to expertly identify gaps in, both, technology, and training.
This lesson has been produced by Cloud Academy in partnership and collaboration with Calculated Systems LLC.
Learning Objectives
- Understanding and evaluating business and technical requirements
- Learning to collaborate and reach out to discover and resolve improvements with stakeholders
- Analyzing how to develop and architect solutions
- To be empowered to take the initial steps for implementation of technologies
Intended Audience
- This lesson is geared to engineers, solution architects, and team leaders.
Prerequisites
- There are no prerequisites before starting this lesson
Chris Gambino and Joe Niemiec collaborate on instructing courses with Cloud Academy.
Chris has a background in big data and stream processing. Having worked on problems from the mechanical side straight through the software side he tries to maintain a holistic approach to problems. His favorite projects involve tinkering with a car or home automation system! He specializes in solving problems in which the data velocity or complexity are a significant factor, maintaining certifications in big data and architecture.
Joe has had a passion for technology since childhood. Having access to a personal computer resulted in an intuitive sense for how systems operate and are integrated together. His post-graduate years were spent in the automotive industry, around connected and autonomous vehicles expanded his understanding of Streaming, Telematics, and IoT greatly. His career most recently culminated in a 2+ year role as the Hadoop Resident Architect where he guided application and platform teams to maturing multiple clusters. While working as Resident Architect, he architected a next-generation Self-Service Real Time Streaming Architecture, enabling end-user analysts to access to streaming data for self-service analytics.