11/5/2023 0 Comments Data stewardCDI-MDM: “Person responsible for managing the data in a corporation in terms of integrated, consistent definitions, structures, calculations, derivations, and so on.”.Purdue University: “A Data Steward must participate with IT Data Administration staff, application development teams, and knowledgeable departmental staff on projects creating, maintaining, and using University data.”.the term became synonymous with the Old French term seneschal or “overseer of workmen.” As history progressed ever onward, the term took on the meaning “one who manages affairs of an estate on behalf of his employer.” In the digital world of the 21 st Century, such old world truths still exist in the form of Data Stewards, who devotedly watch over their own flocks, with some particular contemporary variations: As large estates became the norm, fences were built and the shepherds became more like stewards who watched over not just flocks, but other possessions as well.Īccording to the Online Etymological Dictionary, the word steward originates from the Old English terms stiward or stigweard which means “house guardian,” or “hall/pen + weard (guard).” Following the Norman Conquests of England in the 11 th Century C.E. Master data stewardship has an accurate role that actually does not consist in changing the data but making it fit the final user’s use.In the old world shepherds used to roam the countryside with their flocks of sheep, happy in the idyllic simplicity of nature their only worries were predators, inclement weather, and disease. Obviously, the Data Steward works closely with the Data Analyst, the Data Scientist, the Data Architectwho will analyse, explore and use the data, giving it a real meaning for the jobs. Thus the Data lake management and classification are essential for a better understanding of the data and to an optimised access to the data. The objective of such a tool, like the Saagie Data Fabric working with Saagie Data Governance is providing the best data government, analysis and exploration technologies, that will be used confidently by all users. In case of the user would not be able to get quickly to its data, he will lose confidence in the data and will give up this tool and get back to a basical data exploration tool. Besides, as the Data Steward is usually working for the company itself, he has a perfect knowledge of its inner environment and is able to adapt the information he is adding to the company’s needs. ![]() If the customer happens to doubt the data’s veracity or relevance, the latter will be able to refer direcly to the Data Steward for more information. He provides the customer an easy and quick access to its business data. His job is essential as he is the one who can create a trust-based relationship with the final user. His job is crucial since he is the one who can classify your data lake by adding value to each of your data elements to make it trustable and qualified and maximize the data use. The Data Steward is the only one allowed to manage and modify the data. Indeed, one of the Data Steward’s most important duties is to qualify and add value to the data by giving the final user as much details as possible on each Dataset: original name, size and weight, modification time, source, trustability and status. finally, the Data Steward has to rest assured that each data element, or Dataset, has the right information, and that every table is updated.he needs to check where the data comes from and its trustability, meaning checking if the data was verified first, by whom, when and if it can be used confidently. ![]()
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