With all the data generated from connected devices, sensors, and IoT ecosystems, it is more important than ever to study this data in real-time, learn how these assets are performing, and provide valuable insights for critical decision making. An agile-based robust framework of Lyftrondata, and scalable architecture of next-gen data warehouses, allows for the transformation of structured and semi-structured IoT data and accelerates machine learning.

Without impacting the IoT sources, you could load data to multiple destinations, connect them to numerous BI tools and prepare analytics reports within a few minutes. Lyftrondata makes it possible to handle the volume, diversity, and streaming nature of IoT data, enabling enterprises with real-time analytics and machine learning. Lyftrondata’s smart data architecture processes machine and sensor data in no time and helps you predict key outcomes, thus ensuring you’re always ahead of the curve. Work with the chosen web service platform and manage large data volume at an unprecedented low cost and effort