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My Interaction was very short but left a positive impression. I enrolled and asked for a refund since I could not find the time. What happened next: They initiated Refund immediately. Their... Read More
I have 11 years of experience and work with IBM. My domain is Travel, Hospitality and Banking - both sectors process lots of data. The way the projects were set up and the mentors' explanation was... Read More
In the previous Spark Project on the same subject- Yelp Data Processing Using Spark And Hive Part 1, we began the development of Yelp dataset into domains that can easily be understood and consumed. Amongst other things we did
In this Spark project, we are going to continue building the data warehouse. The purpose in this big data project is to do further data processing to deliver different kinds of the data products.
Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.
In this NoSQL project, we will use two NoSQL databases(HBase and MongoDB) to store Yelp business attributes and learn how to retrieve this data for processing or query.
Learn to write a Hadoop Hive Program for real-time querying.