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The internet has grown from being a connection of web pages to a connection of people and even things. Famous companies around the world have made name and money by accelerating this connection and communication.
In this big data project, we will look at how to mine and make sense of connections in a simple way - Github. Github has evolved from the beginning just a source version control software to a social coding platform. That social component has increased its relevance in the midst of competition. We can, therefore, apply this learning in our business by not only providing goods or services but always exploring connections among customers.
This exploration journey is what this Spark GraphX project is all about as we will mine the people connection around some Github projects and try to perform some famous graph algorithm on this connection network.Note that this class will be a little code-intensive.
The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture.
In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.