DataFramed #116 Value Creation Within the Modern Data Stack
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Dec 5, 2022 Yali Sassoon, Co-founder and Chief Strategy Officer at Snowplow Analytics, shares insights on the modern data stack and its true value. He emphasizes the importance of aligning data initiatives with business goals to avoid the trap of irrelevant technologies. Yali discusses the significance of effective data creation over mere collection, highlighting the role of behavioral data in enhancing predictive models. He also delves into the need for quality data, the evolution of data tools, and predictions for innovation in the data landscape.
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Modern Data Stack Definition
- The modern data stack is primarily an architecture centered around a cloud data warehouse or lakehouse.
- It also involves specialized tools for data ingestion, transformation, visualization, and activation.
Modern Data Stack Architecture
- The modern data stack architecture centers around a data warehouse for storage and computation, with specialized tools for various functions.
- These tools handle ingestion, transformation, visualization, and activation, often from different vendors.
Tool Selection Strategy
- Adopt a pragmatic approach to tool selection, considering both best-of-breed and all-in-one platforms.
- Prioritize the modern data stack for complex, cross-functional use cases and bespoke data applications.