IoT Architecture

• Edge - Lightweight protocols for Machine to Cloud communication - MQTT (Lightweight pub/sub) - Immutable data - Read-Only - Data cannot be modified
• Cloud Entry - Large scale data ingestion to consume data - Kafka - (Distributed Log processing)- Immutable data - Data cannot be modified
• Cloud Streaming - Real-time data analysis to report and alert - Spark - (RDDs / ML ) - Immutable data - Data cannot be modified
• Store and Analyze - Reports on data, Completed transactions - Postgres, RDBMS - Do the Remaining CRUD
• ML on Edge, ML on Streaming data, ML on Stored data (completed transaction)

The confluence of blockchain and IoT in Supply Chain can improve the efficiency of the operations, as per @EqualOcean's research. Link > https://t.co/5nWv9EIqNh @antgrasso via @LindaGrass0 #SupplyChain #blockchain #SmartContracts #IoT #Tech #DigitalTransformation pic.twitter.com/bDmPz7Njz0

— C-Suite Tech Point (@CsuiteTechPoint) May 25, 2020

IoT ecosystems that stitch together sensor-based data with legacy systems and newer technologies hold tremendous promise for those engaged in moving goods. Link > https://t.co/Uk0IFVrVqs @DeloitteInsight via @antgrasso @antgrasso_IT #CloudComputing #AI #IoT #IIoT pic.twitter.com/FpUDIR9kgN

— Antonio Grasso (@antgrasso) May 21, 2020

mt @Fisher85M
cc: @MikeQuindazzi @antgrasso#SupplyChain 4.0 & #4IR

[@JacBurns_Comext]#MachineLearning #IoT #IIoT #sensors #CyberSecurity #bigdata #5G #Industry40 #mobile #disruption pic.twitter.com/BCH8SnEEkF

— Digital Retweet (@DigitalRetweet) May 9, 2020

Happy Learning!!!