Purpose-Built Analytics and Insights

One of the most important steps in data analytics is attaining value from the data in hand and getting insights that can be valuable for an organization.

We can do this with the help of purpose-built analytics toolsTools that analyze data for specific goals. For example, if we need to get insights from streaming data or if we need to integrate ML approaches, there are tools that can handle these use cases.

AWS services for purpose-built analytics and insights

The AWS team built a few services for attaining analytics and insights from data. They’re discussed below.

Amazon Managed Service for Apache Flink

• Managed Service for Apache Kafka can be used for real-time analysis of streaming data. (This service was previously known as Amazon Kinesis Data Analytics.)

• Launched in 2016, it’s the AWS-managed version of the open-source Apache Flink processing framework.

• It allows querying and analysis of streaming data coming from sources such as Amazon Kinesis Data Streams, Amazon MSK, or Amazon S3.

• The output of Managed Service for Apache Kafka can be sent to AWS services or other tools for further analytics or data responses.

Amazon QuickSight

• QuickSight is a business intelligence (BI) tool for constructing data dashboards.

• Launched in 2016, this tool allows users to create analyses and visualizations that can help organizations make better decisions.

• It can analyze data from files such as Excel, applications such as Salesforce, databases such as Snowflake, and other AWS services such as Amazon RDS, Amazon Redshift, and Amazon S3. ...