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In this IoT project, we will be discussing a general architecture for building smart IOT infrastructure. With the trending advance of IOT in our every facet of life, technology has enabled us to be able to handle a large amount of data ingested with high velocity. This big data project discusses IoT architecture with a sample use case.
Our use-case is a fictitious pipeline network system called SmartPipeNet which is a network of sensors with a back office control system that can monitor pipeline flow and react to events along the various branches to give production feedback, detect and reactively reduce loss, and avoid accidents. It major features include:
While we will spend time looking at the implementation as much as the IoT architecture in this big data project, our goal is to build that argument for a generalized streaming architecture for reactive data ingestion based on a microservice architecture.
In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline.
In this big data project, we will talk about Apache Zeppelin. We will write code, write notes, build charts and share all in one single data analytics environment using Hive, Spark and Pig.