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The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.
Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.
To create it, refer to Tutorial: Get started with Amazon EC2 Windows instances. To download and install AWS SCT on the EC2 instance that you created, refer to Installing, verifying, and updating AWS SCT. For more information about bucket names, refer to Bucket naming rules. Deselect Create final snapshot.
For an example, refer to How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform. The following figure shows a daily query volume snapshot (queries per day and queued queries per day, which waited a minimum of 5 seconds). The following figure shows a daily usage KPI.
Top line revenue refers to the total value of sales of an organization’s services or products. Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries. Operational dashboards are hosted on Grafana integrated with Druid.
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