Twelve Must-Have Characteristics of a Modern Data Stack
ABSTRACT :
The modern data stack must be automated, low code/no code, AI-assisted, graph-enabled, multimodal, streaming, distributed, meshy, converged, polyglot,...
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The modern data stack must be automated, low code/no code, AI-assisted, graph-enabled, multimodal, streaming, distributed, meshy, converged, polyglot,...
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This blog recommends four guiding principles for effective data engineering in a lakehouse environment.
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This blog explores the opportunity for automated workflows to help cross-functional teams collaborate and standardize organizational master data.
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The data pipeline market comprises four segments: data ingestion, data transformation, DataOps, and orchestration. This blog defines three principles...
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We enter 2023 in a haze of uncertainty. Here are five principles about what this means for data and analytics.
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