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Stream Analytics Solutions for Internet of Things

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Table of content

Getting Started with Building IoT Platform

  • IoT Data Platform provides an interface to connect different sources with different data types for Real-Time Streaming and processing with Preventive Maintenance using Machine learning and Deep Learning Algorithms.
  • Support Fast Data and Reactive apps, Event-Driven, Fault Tolerance, Real-Time and Streaming Data for IoT Solution.

Business Challenges for Building Real-Time Streaming Platform

  • Build a data collector to collect data from various sources for home automation, security cameras.
  • Real-Time Streaming of videos and analytics.
  • Real-Time Alerting System for managed operations.
  • Inventory and Device Management for all the sensors and equipment.
  • Real-Time reporting tool for the stats and usage.
  • Implement Predictive Maintenance for the equipment.
  • Build a highly available and scalable web API where data collectors can send data to web API at regular intervals , API stores data in a database.
  • Build an Interactive Dashboard for authenticated users to visualize all statistics and reporting.

Solution Offerings for Stream Processing

Real-Time Data Ingestion and Stream Processing Platform for IoT with Preventive and Predictive Maintenance using Machine Learning and Deep Learning

IoT Data Platform Architecture

    • Energy consumption (electric power usage in kWh from smart energy meters).
    • Temperature (degrees Celsius from wireless temperature tags/sensors).
    • Integration and Device Management of the sensors and security cameras.
    • Real-Time Alerting, Scheduler and Reporting Tool.
    • Interactive Dashboard for data visualization, analysis, and automatic generation of notifications when certain conditions met.
    • Data from conditions under monitoring captured using different methods and tools (wireless temperature sensors, smart thermostats, and energy meters).
    • Data transmitted via the internet and stored in the website’s database.

Quick Overview of IoT Stream Analytics

IoT Stream Analytics drives business value through monitoring events at Real-Time, automatic scaling, Real-Time Processing by analyzing chunks of data, providing actionable analytical insights, event predictions along process automation and smart monitoring through IoT analytics.
  • Real-Time Data Ingestion
  • Streaming IoT Data Analytics
  • Logistics
  • Data Warehouse Management
  • Quality Management
  • Operational Analytical WorkFlows.
  • Data Processing and Storage
  • IoT System Integration
  • Event Processing

IoT Stream Analytics Solutions

  • Intelligent Automation
  • Logging and Monitoring
  • IoT Data Platforms
  • Cognitive Computing
  • AWS IoT Analytics
  • Remote Health Monitoring
  • Safety Analytics
  • Predictive Asset Management

Supremacy of Stream IoT Analytics

  • Alert Responsiveness
  • Unifies Data Pipelines
  • Recommendation Engine
  • Fraud Detection
  • Real-Time Sentiment Analysis
  • Actionable Data Insights
  • Availability of Batch and Real-Time Data Simultaneously

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