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Explore the challenges and pathologies encountered when working with large-scale, unstructured data in telecommunications through this 33-minute conference talk from YOW! 2015. Learn from Jay Fenton, Founder & CTO at Savvi Inc., as he examines the specific problems that arise when dealing with messy big data in the telco industry, including data quality issues, processing complexities, and architectural challenges. Discover practical insights into how telecommunications companies struggle with data inconsistencies, volume management, and the unique characteristics that make telco data particularly difficult to work with. Gain understanding of real-world scenarios where traditional data processing approaches fail and explore potential solutions for handling the scale and messiness inherent in telecommunications datasets. Understand the technical and organizational implications of working with imperfect, high-volume data streams and learn strategies for building resilient systems that can cope with the inherent chaos of telco data environments.
Syllabus
The Pathologies of Big "Messy" Data in Telco • Jay Fenton • YOW! 2015
Taught by
GOTO Conferences