IBM Watson Knowledge Catalog was introduced by IBM in 2018. It was developed to address the growing need for effective data management and governance in enterprises. The service aimed to help organizations catalog, govern, and share data assets efficiently to enhance data-driven decision-making and ensure compliance with regulatory requirements.
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About IBM Watson Knowledge Catalog
Strengths of IBM Watson Knowledge Catalog include robust data governance, comprehensive data cataloging, and seamless integration with other IBM Cloud services. Weaknesses may involve complexity in implementation and potentially high costs. Competitors include Microsoft Azure Purview, Google Cloud Data Catalog, and Collibra.
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How to hire a IBM Watson Knowledge Catalog expert
An IBM Watson Knowledge Catalog expert must have skills in data governance, data cataloging, and metadata management. Proficiency in IBM Cloud services, SQL, and Python is essential. Knowledge of data integration tools and experience with machine learning models are also important.
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