Why do data leaders today care about the modern data stack? Self-service analytics Citizen-developers want access to critical business dashboards in real time.

The modern data stack on the lakehouse has proven to dramatically simplify data architecture for enterprises to handle all their data, analytics and AI.

If you’ve heard about something called “the modern data stack,” then you’re not alone. Google returns 489 million results for that search, if that’s a measure of anything anymore. While the modern ...

The semantic layer is still an emerging technology, but it will clearly play an important role in the evolution of the modern data stack.

The modern data stack is primarily tool based. It’s made up of data storage, orchestration/workflow engines, data ingestion, business intelligence and a metrics layer, among other things.

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs.

As these LLMs improve in 2024 and teams continue to innovate, we’ll see more applications of language models in different areas of the enterprise data stack, including the gradually developing ...

Going to market with what it calls its Modern Analytics Cloud service, ThoughtSpot is aiming to make data analytics the next key democratic access point for all users. As well as expanding its own ...

Machine learning and AI is a non-starter without the right data. But are data lakes now legacy? What does a modern data stack (MDS) look like? A recent debate sheds light.

Data Confidence Leads to Decisions that Result in Growth No matter where the modern data stack goes, confidence is a critical piece of the puzzle for DTC brands. Given the purpose of modern data — ...

REPORTS AND GUIDES The Modern Marketing Data Stack Overwhelmed by the explosion of digital marketing tools? Discover the leading and up-and-coming martech tools for AI, engagement, analytics, and more ...