Moving Fast and Slow: An Overview of Modern Data Streaming Practices
Data streaming is a critical component of modern data engineering, balancing the need for real-time decision-making ("fast data") with the value of high-quality, aggregated insights ("slow data"). This presentation explores the principles and practices that guide the development of robust, compliant, and trustworthy data streaming systems. Using Microsoft Azure as a central example—while referencing other platforms like AWS, GCP, and open-source alternatives—we’ll focus on how these foundational concepts are implemented in practice.
This is a hybrid event. Bottled water and sandwiches are available to in-person attendees.
Date and Time
Location
Hosts
Registration
- Date: 06 Feb 2025
- Time: 06:00 PM to 07:00 PM
- All times are (UTC-08:00) Pacific Time (US & Canada)
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- 2970 Inland Empire Blvd.
- Ontario, California
- United States 91764
- Building: Suite 100
- Contact Event Hosts
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IEEE Foothill Section Computer Society Secretary: sean.hamilton@ieee.org
IEEE Foothill Section Computer Society Chair: bassem.maurice@ieee.org
IEEE Foothill Section Chair: m.c.us@ieee.org
- Starts 26 January 2025 12:00 AM
- Ends 06 February 2025 07:00 PM
- All times are (UTC-08:00) Pacific Time (US & Canada)
- No Admission Charge
Speakers
Sean Hamilton
Moving Fast and Slow: An Overview of Modern Data Streaming Practices
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Sean Hamilton is a seasoned technical expert with over 15 years of experience across industries such as government, education, defense, and retail. In his current role, Sean specializes in consulting on data warehousing, analytics, and visualization, primarily on Microsoft platforms. He excels in designing robust data architectures, developing scalable ETL processes, and implementing cost-efficient Azure cloud solutions. Sean’s ability to seamlessly align people, processes, and technology empowers organizations to achieve impactful, data-driven outcomes. |
Agenda
6:00 PM - Presentation
6:45 PM - Q&A
