IoT Solutions

AM-BITS has hands-on experience in the implementation of IoT solutions for enterprise-grade customers. We leverage Apache Hadoop HDP/HDF to build MPP (massively parallel processing) systems and TIBCO tools for data virtualization.

Combining the best technologies enables us to create a hardware and software ecosystem with an event-oriented architecture, and optimize the interaction of sensors and other interconnected network devices at all the stages of a business cycle:

  • Real-time monitoring and data collection based on predefined event-driven triggers
  • Data transfer to main nodes and servers of an enterprise network
  • Data Processing and Predictive Analytics
  • Multi-channel data integration
  • Holistic presentation of the obtained results

The IoT-driven approach allows for automated real-time data exchange while minimizing the human factor. It makes IoT solutions gain much traction across industries – large retailing, mobile telecom, FinTech, eCommerce, banking services, and many others. IoT solutions are at the core of such global giants as Amazon, Google, Airbus, Cisco, CAT, and General Electric.

Our cases in the category of IoT Solutions

Challenge:
To build a cost-efficient system with massively parallel processing architecture (MPP) on the Apache Hadoop HDP/HDF platform.

Solution:

To build an MPP system for statistical data collection and analytics, the following distributions were utilized:

  • Storage based on the HDP platform – Hadoop Data Platform (open-source software under the Apache license)
  • Real-time data collection based on the HDF (NiFi) platform – Hadoop Data Float (open-source software under the Apache license)
  • A data virtualization layer – TIBCO Data Virtualization was also added to the architecture to address the issues of multi-channel data integration and holistic representation of data stored in varied sources.

Result:
Multi-channel integration and holistic data presentation with Tibco Data Virtualization tools. Linear scalability of data storage capacities based on the Dell/EMC Isilone object-oriented storage technology, along with the increased response speed up to 1-5 seconds.

Challenge:
Improving the quality of product presentation in retail chains, reporting automation.

Solution:

A proposed all-out solution ensured:

  • online control of merchandise facing, completeness of in-stock product range, and equipment technical condition;
  • automated service notification in case of discrepancy in actual product presentation, and/or the location of the refrigerator;
  • a cloud-based solution was chosen for greater data analytics and visualization;
  • development of a hardware-software system that goes with sensors placed in the refrigeration equipment for ongoing monitoring of key parameters.

Result:
Automated data collection from sensors on refrigeration equipment. A cloud solution for online monitoring, analysis of critical parameters, and notification of service departments. Capability to exchange data with user applications.

Request full cases:

    Technical monitoring of the mobile operator’s networkIn-Store Product Placement Monitoring in Retail Chain