Challenges of integrating 'Big Data' with water industry operational data. Includes a Case Study using real time rainfall data
The emerging availably of 'Big Data' or large datasets represents a challenge for the water industry in terms of assimilating this data with the existing operational data. Existing IT systems and structures are not designed to cope with both the volume and velocity of these datasets. More importantly they do not have the data processing and analytics capabilities to process the data into a form that can readily be integrated into these IT systems and then used for real world applications and solutions. This paper presents a new IT platform that fills this void and uses a case study to demonstrate the flexibility and scalability of the platform.
Free to watch
Sessions are free to watch. Please login to view this session or create an account.
Speakers
Mr Mike Everest (Meniscus Systems Ltd)
Digital Edition
AET 28.4 Oct/Nov 2024
November 2024
Gas Detection - Go from lagging to leading: why investment in gas detection makes sense Air Monitoring - Swirl and vortex meters will aid green hydrogen production - Beyond the Stack: Emi...
View all digital editions
Events
Jan 12 2025 Abu Dhabi, UAE
Jan 14 2025 Abu Dhabi, UAE
Jan 20 2025 San Diego, CA, USA
Carrefour des Gestions Locales de L'eau
Jan 22 2025 Rennes, France
Safety, Health & Wellbeing LIVE
Jan 22 2025 Manchester, UK