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analyze-visualize-online-review-data-using-spark-elasticsearch.jpg

Analyze and Visualize Online Review Data using Spark,Elasticsearch,Sqoop and Kibana

In this project, we will use the yelp review dataset to analyze businesses, reviews and 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.
Event Date
17th
Feb - 2018
07:00pm - 09:30pm PST
18th
Feb - 2018
07:00pm - 09:30pm PST
What are the prerequisites for this project?
  • A fair knowledge of Big Data on Hadoop, Spark.
  • No knowledge of Elasticsearch is required
  • An installation of Hadoop environment or sandbox is required. We recommend Cloudera or Hortonworks Sandbox.

What will you learn

  • Ingesting data from relational database using Sqoop
  • Ingesting data from relational database directly into Spark
  • Processing relational data in Spark
  • Ingesting processed data into Elasticsearch
  • Visualizing review analytics using Kibana

Project Description

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 this Hackerday session, 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.
 

Instructors

 
Michael

Big Data & Enterprise Software Engineer

I am passionate about software development, databases, data analysis and the android platform. My native language is java but no one has stopped me so far from learning and using angular and node.js. Data and data analysis is thrilling and so are my experiences with SQL on Oracle, Microsoft SQL Server, Postgres and MyS see more...

What is Hackerday?

Stay updated in technology trends by working on projects

Live online coding sessions led by industry experts

Build 2-4 projects a month each lasting 6 hours designed to teach you advanced concepts

Code in groups and connect with your community