Hortonworks IoT Solution Helps American Water Improve Operational Efficiency
HDP is an enterprise data management platform that helps organizations securely store, process and analyze any data asset. HDF is a scalable, real-time streaming data ingestion and analytics platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. The connected data strategy that American Water has adopted by combining these two platforms has modernized its operations to build new applications powered by data lakes instead of legacy data warehouses.
The use of a data lake as the single source of truth to aggregate historical, traffic, real-time streaming and other types of data is unprecedented in the water utility industry. A data lake can combine historical insights with real-time insights from its consumer IoT devices to enable key decision-makers and field personnel with the right data at the right time. American Water was able to program its revolutionary data platform in a matter of days with a lean team and without going through rigorous new training – illustrating the ease of use and accelerated time-to-value that HDP and HDF bring.
Open Source Platforms Deliver Fast Results
American Water can now capture and process critical data previously only available in 24-hour increments in as little as 15 minutes. Open source data platforms from
"Our field employees are our front line with our customers and we knew they could serve customers more effectively if they had the data they need sooner," said
HDF, and specifically Apache NiFi, were key to making American Water's system work as it automates the movement of data between disparate data sources and systems. Together, they make data ingestion fast, easy and secure while allowing real-time data traceability.
"NiFi is a big tool for us because the extremely user-friendly interface allows us to ingest and move data from any legacy or streaming data source with little code to write," said
"HDP makes it so easy to visualize data in a readable table format that it gives our users instantaneous access to data originally hidden in ERP solutions or legacy data stores. Hive with LLAP enables us to execute some of the fastest queries due to its multi-threading and caching capabilities. We've completely changed the way to collect, store, search for, identify and use data to make actionable decisions. What previously took days to develop code, we can now do in minutes," Kuchmek added.
"American Water is leading the water utilities industry by adopting HDP and HDF to modernize its data architecture and drive business transformation, including significant enhancements to its customer service and operations," said
American Water will share the success story of its production use case leveraging HDP and HDF at DataWorks Summit in
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