[34/100] #100DaysOfCloud Today, I created data analyses, visualized the data, and shared the analyses through data dashboards using Amazon QuickSight.
Amazon QuickSight is a cloud-scale business intelligence (BI) service that you can use to deliver easy-to-understand insights to the people who you work with, wherever they are.
Amazon QuickSight connects to your data in the cloud and combines data from many different sources. In a single data dashboard, QuickSight can include AWS data, third-party data, big data, spreadsheet data, SaaS data, B2B data, and more.
As a fully managed cloud-based service, Amazon QuickSight provides enterprise-grade security, global availability, and built-in redundancy.
It also provides the user-management tools that you need to scale from 10 users to 10,000, all with no infrastructure to deploy or manage.
- BI for everyone
- Deliver insights to all your users when, where, and how they need them. BI users can explore modern, interactive dashboards; get insights within their applications; obtain scheduled, formatted reports with Paginated Reports; and make forward-looking decisions with machine learning (ML) insights. To further simplify data exploration, QuickSight allows users to ask questions about the data in natural language.
- Build faster
- Speed up development by using one authoring experience to build modern dashboards and paginated reports. Application developers can rapidly integrate rich analytics and ML-powered natural language query capabilities into applications with one-step embedding, public embedding, and rich APIs.
- Scale efficiently
- Since QuickSight is serverless, automatically scale to tens of thousands of users without the need to set up, configure, or manage your own servers. The QuickSight in-memory calculation engine, SPICE, provides consistently fast response times for end users and analysts, removing the need to scale databases for high workloads.
- Lower costs
- Pay only for what you use with the QuickSight usage-based pricing. No need to buy thousands of end-user licenses for large-scale BI or embedded analytics deployments. With no software or servers to install or manage, you can lower costs by removing upfront costs and complex capacity planning.
You can try do it by yourself by following the steps from the link below: GitHub
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