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# The Modern Data Stack: How The Evolution of Data Architecture Led to The Data Intelligence Platform

**[databricks](https://daily.dev/sources/databricks)** · 13 min read · 0 upvotes · 0 comments

## Summary

The modern data stack addresses the challenges of data collection, storage, and analysis. It consists of tools for loading, storage, transformation, and analysis. Legacy data stacks like enterprise data warehouses and data lakes had limitations that modern data stacks overcome. Modern data stacks offer flexibility, efficiency, cost savings, and promote a data-driven culture. Successful examples include AT&T, HSBC, and USPS. The Databricks Data Intelligence Platform offers a modern data stack architecture.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/modern-data-stack-how-evolution-data-architecture-led-data-intelligence-platform>

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Tags: [#cloud](https://daily.dev/tags/cloud), [#big-data](https://daily.dev/tags/big-data), [#bi](https://daily.dev/tags/bi), [#data-architecture](https://daily.dev/tags/data-architecture)

[View this post on daily.dev](https://daily.dev/posts/the-modern-data-stack-how-the-evolution-of-data-architecture-led-to-the-data-intelligence-platform-swppmtbi1)

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