A company's HR department is planning on storing their data in csv files in different S3 buckets.
The development team need to create a serverless solution which could be used to create visualizations from the data stored in the S3 buckets.
Which of the following can be used for this purpose? Choose 2 answers from the options given below.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - B and C.
D3.js is a JavaScript library for manipulating documents based on data.
D3 helps you bring data to life using HTML, SVG, and CSS.
D3's emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
You can use this to visualize data in an S3 bucket as well.
The AWS Documentation mentions the following.
Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build.
visualizations, perform ad-hoc analysis, and quickly get business insights from your.
data.
Using our cloud-based service you can easily connect to your data, perform.
advanced analysis, and create stunning visualizations and rich dashboards that can be.
accessed from any browser or mobile device.
Option A is incorrect since this is a Big Data service and is not a serverless service.
Option D is incorrect since this is more of querying service.
For more information on D3js and Quicksight, please refer to the below URL.
https://d3js.org/ https://aws.amazon.com/quicksight/Option A - Create an EMR Cluster. Use Hive to query the data and create the visualization Amazon Elastic MapReduce (EMR) is a fully-managed Hadoop framework that allows users to process big data workloads in a distributed computing environment. Hive is a query engine that allows you to write SQL-like queries that can be executed on Hadoop clusters, such as those created using EMR.
Using EMR, the development team can launch a cluster and use Hive to query the CSV files in S3. They can then use a visualization tool like Tableau or Amazon QuickSight to create visualizations based on the data. However, this solution is not serverless as it requires an EMR cluster to be running continuously.
Option B - Create Javascript code and use the D3.js library D3.js is a powerful JavaScript library used for creating interactive data visualizations on the web. Developers can use D3.js to build visualizations based on the data stored in the S3 buckets. This solution is serverless and can be implemented using AWS Lambda, which allows developers to run code without provisioning or managing servers.
Option C - Use the AWS QuickSight service to create the visualization Amazon QuickSight is a fully-managed business intelligence service that allows users to create and publish interactive dashboards and visualizations based on their data. QuickSight natively integrates with Amazon S3, so users can easily connect to and visualize data stored in S3 buckets.
QuickSight supports a wide range of data sources, including CSV files, and provides a variety of visualization options. This solution is also serverless and does not require the development team to manage any infrastructure.
Option D - Use the AWS Athena service to create the visualization. Amazon Athena is an interactive query service that allows users to analyze data stored in Amazon S3 using standard SQL. Athena makes it easy to query data without the need for complex ETL jobs or data warehousing. Athena can also be used to create visualizations based on data stored in S3 buckets.
Similar to QuickSight, Athena is also a serverless solution that does not require any infrastructure management by the development team.
In summary, options B, C, and D are all serverless solutions that can be used to create visualizations based on data stored in S3 buckets. Option A requires the use of an EMR cluster and is not a serverless solution.