How to visualize data with Amazon QuickSight
In only a few minutes, Amazon QuickSight creates interactive dashboards and insights. We will learn how to visualize data and create interactive dashboards by using the following steps.
1. Gather and load information
Amazon QuickSight gets data from various Amazon services, including Aurora, Athena, Redshift, Simple Storage Service (S3), and Elasticsearch Service 7.7. It also works with on-premises databases, file uploads, and data sources that use APIs, such as Salesforce. Also supported are click streams, sales orders, IoT devices, and financial data. End users can upload incremental data in a file or an AWS S3 bucket using Amazon QuickSight.
2. Make a data connection
Amazon QuickSight links to data from various sources, including the AWS cloud, corporate data centers, SaaS, third-party apps, and CSV/XLSX/JSON files. Before analyzing data, Amazon filters it, renames fields to make it simpler to read, changes data types (if necessary), adds calculated fields, and creates SQL queries.
3. Perform data analysis
The BI platform evaluates the data and performs calculations and graphs swiftly using its Super-fast, Parallel, In-memory Calculation Engine (SPICE). The storing and processing capabilities of the engine avoid the need to retrieve data every time an analysis is revised or graphically updated.
4. Make visual representations
Users can arrange and edit visualizations created by QuickSight. Furthermore, users no longer need to do manual extract, transform, or load activities. Business users can access interactive dashboards, email reports, and embedded analytics through the tool to gain insights and take action. Interactive graphs, charts, tables, tales, sheets, and other visualizations are available in the QuickSight workspace. Users can view and create dashboards within their enterprise apps using embedded analytics.
We are done with visualizing data using Amazon QuickSight. Now let’s learn about the pros of using Amazon QuickSight.
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Pros of Amazon QuickSight
Following are some pros of using QuickSight:-
- The SPICE engine allows you to take advantage of lightning-fast answers when interacting with dashboards. Its connection with both AWS and non-AWS data sources is simple.
- AWS's user interface is intuitive and straightforward. They make it very easy to produce visually attractive visualizations.
- There is no need to license software or set up and manage infrastructure as a BI tool. Finally, you only pay for the services you utilize. The pay-per-session pricing strategy is cost-effective even if your user base is unpredictable. There are no hidden fees or long-term obligations.
We are done with visualizing data using Amazon QuickSight. Now let’s learn about the cons of using Amazon QuickSight.
Cons of Amazon QuickSight
Following are some cons of using Amazon QuickSight:-
- QuickSight offers a wide range of visualization options. However, several essential visualization kinds are conspicuously absent. Examples are Candlestick graphs, Gantt charts, and high and low close charts. More visualization styles may be included as QuickSight develops as a service. So pay attention.
- Another disadvantage is the way SPICE data is refreshed. Your dashboards can refresh every hour depending on your QuickSight version subscription. If you want to construct real-time dashboards and visualizations, you'll need to leverage event-driven architectures to automate the refresh of your SPICE data sets. For example, creating an ETL pipeline with AWS Glue and Lambda automatically refreshes your SPICE datasets.
We've finished with the blog; let's move on to the FAQs.
Frequently Asked Questions
What is Amazon QuickSight?
Amazon QuickSight is a cloud-based machine learning-powered business analytics tool Amazon Web Services provides.
What are some use cases of Amazon QuickSight?
Amazon QuickSight is a simple-to-use interface used for building analysis, visualizations, and dashboards that are quick and cost-effective.
Is AWS QuickSight free?
Amazon QuickSight isn't free, but there are various price choices to suit your needs. The standard edition costs $9 per user per month for an annual subscription ($12 per user per month for a month-to-month subscription).
What is the distinction between QuickSight and Tableau?
Tableau is frequently thought to be more powerful and user-friendly than AWS QuickSight, but it is also more expensive. AWS QuickSight may be a better option for enterprises with AWS data sources.
What are some cons of Amazon QuickSight?
QuickSight offers a wide range of visualization options. However, several essential visualization kinds are conspicuously absent. Examples are Candlestick graphs, Gantt charts, and high and low close charts. More visualization styles may be included as QuickSight develops as a service. So pay attention.
Conclusion
In this article, we have extensively discussed Amazon QuickSight. We started with a brief introduction to Amazon QuickSight, then discussed its working and pros and cons.
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