We guide organizations, their people and technology stack to the next level of Digitalization.
Stream processing is having an ever increasing impact on the business world of Big Data,
Many modern data sources — such as financial transactions, web traffic, machine logs, sensor measurements — produce a never-ending stream of events. Streaming systems provide a natural means to analyse these data sources and extract insights in real-time.
Processing complex, never-ending datasets traditionally requires complex and expensive infrastructure. Streaming systems simplify the architecture by processing workloads more evenly in time and can be run with significantly less hardware.
Streaming Data is data that is generated continuously by thousands of data sources which can be so large that it is not feasible to store it all on disk. Streaming systems let you process data on-the-fly and keep only the interesting signals.
Many future digital business cases are based on real-time data processing, but today's IT ecosystems often struggle to support such complex scenarios. Nativ3 is our answer to let you taste the digital future based upon one of your business cases. Starting with an assessment of your existing data and IT infrastructure we support you step by step towards a fully automated business case. Our job is done when you have gained the necessary insights to repeat such an automation process. Let us inspire you too towards a data driven culture!
"SPOUD enables us to accelerate the implementation of data driven Use Cases in order to access and connect our Data in the fastest way possible."
| Head of Data & Analytics at la Mobilière
Large IT systems generate large volumes of logs with a bewildering amount of diversity. A real-time analysis of these interconnected applications is essential to detect bottlenecks and anomalies in a timely manner and thus keep critical systems operational.
For many retailers, sales are typically represented by clicks on a website. Handling this stream of clicks in real-time allows business to improve their advertisement campaigns or recommend new products to existing customers.
Large industrial equipment such as elevators or wind turbines rely on an analysis of sensor measurements to provide alerts when a machine is malfunctioning. These sensors produce a huge amount of streaming data which offers new opportunities and challenges. For example, one can deploy machine learning models to predict the next malfunction, before it occurs.
Our extensive range of skills allows us to take on any project with confidence.
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