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In this hadoop project, learn about the features in Hive that allow us to perform analytical queries over large datasets.
In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.
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 big data project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.
In this big data project, we will be performing an OLAP cube design using AdventureWorks database. The deliverable for this session will be to design a cube, build and implement it using Kylin, query the cube and even connect familiar tools (like Excel) with our new cube.