Best IoT Training in Chandigarh Mohali Panchkula

Introduction to the concept of IoT

• IoT Eco system
• Hardware

• Sensors
• IoT Stack and Protocols
• IoT industry deployment examples

Introduction to Raspberry Pi

• Features of Raspberry PI
• Interfaces
• Programming environment
• Caveats

Interfacing with the external world

• TCP/IP Communication
• HTTP/REST interfaces
• MQTT

Database & Platform implementation for IoT

• SQL vs NoSQL-Which one is good for your IoT application
• Open sourced vs. Licensed Database
• Available M2M cloud platform
• Basic functionality of IoT cloud platform
• Real Time Analytic
• Batch Analytic
• Data storage

• Data filtering
• Rule engine
• Process mapping
• Caching of Data for IoT rule implementation
• Lossless data compression /Data encoding : Huffman and Progressive filtering
• Xively/ Omeg/Ayla/Libellium/CISCO M2M platform /AT &T M2M platform/ Google M2M platform

Big Data for IoT

• 4V- Volume, velocity, variety and veracity of Big Data
• Why Big Data is important in IoT
• Big Data vs legacy data in IoT
• Fundamental of Map reduced system (MR)
• Hadoop and HDFS

• Kafka for data messaging and brokerage
• Storm/Bolt/Spout-fundamentals of real time analytic system
• Storage technique for image, Geospatial and video data
• Distributed database like Cassandra and HDFS
• Parallel computing basics for IoT

Our Target:

• Provide Knowledge of the main components composing the Internet of Things.
• How Using different frameworks for the use of the Internet of Things.
• Make Practice of Analyze, build or develop parts of an Internet of Things solution and connect it to the desired business model.

• Explain the fundamentals of the Internet of Things in terms of models.
• Critically assess ethical and potential security issues akin to the Internet of Things.
• Describe how tools and technologies are practiced to build new Internet of Things solutions
• Assess different Internet of Things and their applications.