Amazon QuickSight – Working with Data and Analytics
Amazon QuickSight is a business intelligence (BI) tool that allows you to easily create, analyze, and visualize data. You can connect to various data sources such as databases and cloud storage, and accordingly create interactive dashboards and reports to gain insights based on the data. This way, you can quickly identify patterns and trends and understand your data to make data-driven decisions. You can also integrate it with other AWS services such as IoT Analytics for more powerful data analysis.
Amazon S3
Amazon S3 is a cloud storage service that allows you to store and retrieve large amounts of data, including photos, files, videos, and more. You can integrate it with other AWS services to create powerful data management and analytics solutions, while also being affordable, providing you scalability as your data storage needs grow.
Amazon CloudWatch
Amazon CloudWatch is a service that allows you to monitor and manage your resources and applications that are based on AWS. You can collect and track metrics, monitor log files, and set alarms that trigger certain actions based on your resources to save you the time of manually doing so. You can also use it to monitor the health of your applications and receive notifications if there are any issues.
Amazon SNS
Amazon Simple Notification Service (SNS) is a messaging service that allows applications to send and receive messages and notifications, allowing a large number of recipients to send and receive messages with just a few clicks. It is widely used for sending notifications, updates, and alerts to users, customers, or other systems. These notifications can be directed to text, email, or other services that you have on AWS.
Now that we understand the various of different services that can be used as part of our data analysis workloads, let’s start looking at third-party services and create data workflows within the cloud that can utilize the services that we have discussed in this section.
Analysis on the cloud and outside
When working with data, it often is necessary to visualize data to gain insights and make informed decisions. With services such as Amazon QuickSight, you are able to do this and create interactive dashboards and reports. However, some organizations’ requirements may necessitate the use of third-party services alongside AWS’ native tools.
Many third-party services can be used. In this section, we will discuss some of these third-party services, alongside how we can start architecting workloads within the cloud for data workflows and quickly ensure that they adhere to best practices, both when creating and evaluating them.
Third-party data services
In this section, we will talk about two different third-party data analytics and visualization services: Datadog and Prometheus.
Datadog
Datadog is a cloud-based monitoring and analytics platform that provides many features for monitoring and troubleshooting many aspects of an organization’s IT infrastructure and applications. It allows for real-time data collection and monitoring from various sources, including servers, containers, and cloud services. Key features include cloud infrastructure monitoring, application performance monitoring, log management trace analysis, and its integration with many services such as AWS, Kubernetes, and Jira, allowing users to collect and analyze data within one location.