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Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
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 extensive experience in data management and data processing. Over the past few years I saw the data management technology transition into the Big Data ecosystem and I needed to follow suit. I... Read More
This hive project aims to build a Hive data warehouse from a raw dataset stored in HDFS and present the data in a relational structure so that querying the data will is natural. The dataset set for this big data project is from the movielens open dataset on movie ratings.
The spark project makes use of some advance concepts in Spark programming and also stores it final output incrementally in Hive tables built using the parquet data storage format. We will also demostrate some complex queries on this tables using Hive and impala. The spark application will be written in scala and the development process will be automated using the Scala Build tool(sbt).
The data warehouse is built by loading, extracting and transforming the dataset into structures that will provide the basis for data scientists to perform different forms of model discovery.
We will use following tools in this project:
Learn to write a Hadoop Hive Program for real-time querying.
In this hive project, you will design a data warehouse for e-commerce environments.
The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.