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Most businesses seek to get reviews on their goods and services one way or another. It is a most basic way for the business to improve their efficiency and subsequently their bottom-line. Get the review is not only the issue, ability to extract and visualize analytics from review data is critical to business success.
In Apache Spark Project, we will use the yelp review dataset to analyze businesses and reviews over a period of time. Perhaps we will spot potential gaps in service delivery or see how business thrive in different scenarios.
Beyond processing this data, we will ingest the final output of our data processing in Elasticsearch and use the visualization tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.
In this Hackerday, we will go through the basis of statistics and see how Spark enables us to perform statistical operations like descriptive and inferential statistics over the very large dataset.
In this project, we will evaluate and demonstrate how to handle unstructured data using Spark.
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.