Stream Analytics Solutions for Internet of Things

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

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

• 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