Real-Time Data Processing in IoT
( 25 Modules )

Module #1
Introduction to IoT and Real-Time Data Processing
Overview of IoT, real-time data processing, and its applications

Module #2
IoT Data Characteristics and Challenges
Understanding IoT data types, velocity, volume, and veracity, and the challenges of processing IoT data

Module #3
Real-Time Data Processing Fundamentals
Basics of real-time data processing, including event-driven processing and stream processing

Module #4
IoT Data Ingestion and Collection
Methods and technologies for collecting and ingesting IoT data, including MQTT, CoAP, and HTTP

Module #5
Real-Time Data Processing Architectures
Overview of architectures for real-time data processing, including lambda, kappa, and micro-batch

Module #6
Stream Processing Fundamentals
Introduction to stream processing, including windowing, aggregation, and joins

Module #7
Apache Kafka and KSQL for Stream Processing
Hands-on with Apache Kafka and KSQL for building stream processing pipelines

Module #8
Apache Flink for Stream Processing
Hands-on with Apache Flink for building stream processing pipelines

Module #9
Real-Time Data Processing with Apache Spark
Using Apache Spark for real-time data processing, including Spark Streaming and Structured Streaming

Module #10
Machine Learning for Real-Time IoT Data
Introduction to machine learning for IoT data, including online learning and model deployment

Module #11
Edge Computing and Fog Computing
Overview of edge and fog computing, including their roles in real-time IoT data processing

Module #12
Real-Time IoT Data Processing Using Edge AI
Hands-on with edge AI frameworks, such as TensorFlow Lite and AWS IoT Greengrass

Module #13
Data Quality and Validation for IoT Data
Importance of data quality and validation for IoT data, including data cleaning and data normalization

Module #14
Real-Time IoT Data Visualization
Introduction to real-time IoT data visualization, including dashboarding and monitoring

Module #15
Real-Time IoT Data Storage and Retrieval
Overview of storage options for IoT data, including time-series databases and NoSQL databases

Module #16
Security and Privacy for IoT Data
Importance of security and privacy for IoT data, including data encryption and access control

Module #17
Real-Time IoT Data Integration and Orchestration
Overview of integration and orchestration techniques for IoT data, including ETL and ELT

Module #18
Case Study:Real-Time IoT Data Processing for Industrial Automation
Hands-on with a case study on using real-time data processing for industrial automation

Module #19
Case Study:Real-Time IoT Data Processing for Smart Cities
Hands-on with a case study on using real-time data processing for smart cities

Module #20
Real-Time IoT Data Processing for Predictive Maintenance
Using real-time data processing for predictive maintenance in IoT

Module #21
Real-Time IoT Data Processing for Anomaly Detection
Using real-time data processing for anomaly detection in IoT

Module #22
Real-Time IoT Data Processing for Location-Based Services
Using real-time data processing for location-based services in IoT

Module #23
Real-Time IoT Data Processing for Energy Management
Using real-time data processing for energy management in IoT

Module #24
Real-Time IoT Data Processing for Healthcare
Using real-time data processing for healthcare in IoT

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Real-Time Data Processing in IoT career

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Real-Time Data Processing in IoT ( 25 Modules )

Real-Time Data Processing in IoT
( 25 Modules )