9/10/2023 0 Comments Sap data stewardHe has more than 14 years of information technology experience in the following areas: ETL architecture, development, and tuning logical and physical data modeling and mentoring on data warehouse, data quality, information governance, and ETL concepts. He is an SAP Certified Application Associate on SAP BusinessObjects Data Integrator, and he is very active in the SAP community, speaking globally at numerous SAP and ASUG conferences and events. Create a data dictionary and manage metadataĬheckout this new E-Bite from Don Loden! Now available for pre-order!ĭon Loden is a principal consultant at Decision First Technologies with full lifecycle data warehouse and information governance experience in multiple industries.We will explore use cases, features, and architecture that make these two solutions the very best of friends. In this blog post, we are going to cover both an internal and external view as to why. Configure scorecards and rules using Data Insight SAP Information Steward and SAP Data Services and Data Quality are indeed inseparable and complementary solutions.Govern your incoming data in real-time using Information Steward 4.2.Thanks to a detailed case study, you’ll untangle your data in no time! Established Data Governance Charters prior to each data conversion effort for each Albertson’s division and subsidiary (e.g.Overrun and overwhelmed by an influx of data? Monitor data in real-time with this E-Bite on SAP Information Steward! Discover how to assess, analyze, and cleanse your data with three modules: use Data Insight for building scorecards and rules, Metadata Management for metadata collection and organization, and Metapedia for defining business standards and terminology against data.Served as Data Governance Manager for the data conversion and system integration efforts to support the merger between Albertson’s and Confidential.Provided training and documentation for key resources for ongoing management of the solution.Managed development and testing of the jobs to keep enterprise data synchronized with the Azure Data Lake.
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