Data Orchestration Trends: The Shift From Data Pipelines to Data Products
The most likely organizational structures to initiate or accommodate big data technologies are either existing analytics groups (including groups with an “operations research” focus, as at UPS and Schneider National); innovation or architectural groups within IT organizations, as at USAA and Procter & Gamble; or R&D analytics groups, as at
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Organizations often face challenges in handling DSRs in systems built with multiple microservices. Some key challenges include:
Łukasz Lenart • Understanding Data Subject Requests (DSRs) and Implementing a Scalable Solution
Koheesio
CI/CD
Package
Meta
Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
The framework is versatile, aiming to support multiple implementations and working sea... See more
CI/CD
Package
Meta
Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
The framework is versatile, aiming to support multiple implementations and working sea... See more