Modern data stack

Modern data stack is a comprehensive framework and set of tools designed to efficiently collect, process, analyze, and visualize data in a well-integrated cloud-based data platform. The main characteristics of a modern data stack include robustness, speed, and scalability. Compared to traditional fragmented architectures, the core assumption of the modern data stack is unified access to data across the business.

A typical modern data stack consists of the following:

• Cloud data warehouse
• Extract, Load, Transform (ELT) tools
• Data ingestion/integration services
• Reverse Extract, Transform, Load (ETL) tools
• Data orchestration tools
• Business intelligence (BI) platforms

The entire premise behind a modern data stack is to create an end-to-end flow of data from acquisition to integration, to persistence – where every layer is centered around the analytics platform.

Further reading:

• What is the modern data stack and how it can change the way you do analytics