…in case of mergers. Data Integration is an essential prerequisite for Data Warehousing, Data Management, Business Intelligence, and Big Data management. It used to be normal for IT departments to…

…And you can share it. in-depth data integration Data Integration, what is it? What is it for? For DAMA, data integration describes the processes related to moving and consolidating data…

…Management and Integration Architecture”, tells why the Data Fabric is the future of Data Management. Many Data Management technologies today work in silos. In fact, data is managed in a…

…or request the creation of new data products via dedicated processes. Data product, data governance, and data sharing It is easy to see that the processes that manage data product…

…In metadata-based Enterprise Data Management platforms, the metadata that describe the requirements are linked to the “active” ones that drive the Data Management (Data Quality, Data Integration, Preparation, Analytics, Delivery,…

…(DQ engine, Data Catalog, Data integration tools, etc). Gartner (Adaptive Data and Analytics Governance to Achieve Digital Business Success, July 21, 2020, Saul Judah, Remi Gulzar) defines four different Data…

…implementing Enterprise Data Management solutions. Their tasks include data acquisition from different sources, data integration, normalization, validation, transformation, and preparation for further use in analysis and operations. A Data Engineer…

…the benefits for the organization. There are many disciplines under the umbrella term of Data Management: Data Quality, Metadata Management, Data Governance, Master Data Management, Data Integration, Data Preparation, etc….

…organization’s data asset governance activities. Data Management Body of Knowledge (DMBoK®2), a fundamental manual for data professionals published by DAMA, the international association of reference in the field, provides a…

…themselves). Throughout the entire data journey, it’s essential to carry out proper data integration and remediation activities to identify and address data issues. Equally valuable is an approach oriented toward…