Create Dashboards and Analyze Data on AWS EMR Cluster - Ideal Solution for Big Data Analysis

Create Dashboards and Analyze Data on AWS EMR Cluster

Question

A company has an EMR Cluster on AWS.

They have some hive job flows running on the EMR cluster.

The users need to be able to create dashboards and analyse data in the EMR cluster.

Which of the following would be the ideal one to use for this requirement?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Answer - B.

The AWS Documentation mentions the following.

You can use popular business intelligence tools like Microsoft Excel, MicroStrategy, QlikView, and Tableau with Amazon EMR to explore and visualize your data.

Many of these tools require an ODBC (Open Database Connectivity) or JDBC (Java Database Connectivity) driver.

Options A and C can be used to perform SQL queries not help in creating BI solutions.

Option D is incorrect since this is the web interface for the EMR cluster.

For more information on the EMR BI tools , please refer to the below URL.

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-bi-tools.html

Of the options provided, Hue is the ideal choice for creating dashboards and analyzing data in an EMR cluster. Here's why:

Hue is an open-source web interface for analyzing data with Apache Hadoop. It provides a user-friendly interface for accessing data stored in Hadoop and allows users to run queries and create visualizations without having to write complex code. Hue also includes tools for managing Hadoop clusters and scheduling jobs.

In an EMR cluster, Hue can be used to analyze data stored in Hadoop Distributed File System (HDFS), as well as data stored in other sources such as Amazon S3, Amazon DynamoDB, and Amazon RDS. Hue provides a wide range of connectors and plug-ins for accessing these data sources, making it easy to work with data in a variety of formats.

In addition to its data analysis capabilities, Hue includes a dashboard creation tool that allows users to create interactive dashboards for visualizing data. Users can drag and drop widgets onto the dashboard canvas, configure them with data from Hadoop or other sources, and create custom queries and filters to refine the data displayed in the dashboard. Hue also includes tools for sharing dashboards with other users and scheduling them to run on a regular basis.

Overall, Hue is an ideal choice for creating dashboards and analyzing data in an EMR cluster because it provides a user-friendly interface, supports a wide range of data sources and formats, and includes tools for managing Hadoop clusters and scheduling jobs. While the other options listed (Presto, Microstrategy, and R Studio) have their own strengths, none of them provide the same level of integration with EMR as Hue does.