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.
Mr Mike Everest (Meniscus Systems Ltd)
Mar 05 2024 Orlando, FL, USA
Mar 05 2024 Guangdong, China
Mar 12 2024 London, UK
Mar 19 2024 Moscow, Russia
Mar 25 2024 Grapevine, TX, USA