I am passionate about bringing data products to life. Bridging the gap between business and technology to develop data products that makes a different. My Hobbies are: Traveling, Biking and Cooking.
Happy to extend my professional network馃槉
Dec 18, 2024 路 4 min read 路 DataOps is revolutionizing the way businesses manage and deploy data workflows, ensuring error-free production and faster deployment cycles. BERGH et al. (2019) outlined seven key best practices to implement a robust DataOps architecture. These steps...
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Dec 18, 2024 路 6 min read 路 In today鈥檚 data-driven world, data pipelines are the backbone of efficient and scalable DataOps. These pipelines are vital for managing both data and code, automating complex workflows, and minimizing manual data handling. Data pipelines can be descr...
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Dec 18, 2024 路 9 min read 路 Data is a valuable asset for the most companies in the 21st century. Like other assets data needs to be managed over the whole lifecycle. Mismanagement of data can result in many risks like: data losses or breaches resulting in disclosure of private ...
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Dec 18, 2024 路 8 min read 路 DataOps, a fusion of "Data" and "Operations," addresses the challenges of developing data products by combining principles from Agile, DevOps, and Lean Manufacturing. It emphasizes collaboration, automation, and efficiency in handling data pipelines,...
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Dec 18, 2024 路 6 min read 路 DataOps, a fusion of "Data" and "Operations," addresses the challenges of developing data products by combining principles from Agile, DevOps, and Lean Manufacturing. It emphasizes collaboration, automation, and efficiency in handling data pipelines,...
Join discussion
