The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data ...

There are numerous reasons why organizations pursue a "modern data stack." Some aim to move away from a "silos and spaghetti architecture" described in "Future Ready," while others aim to establish an ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

We believe today’s so-called modern data stack, as currently envisioned, will be challenged by emerging use cases and artificial intelligence-infused apps that begin to represent the real world, in ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

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Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs. You can’t ...