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This free e-book will give you an exhaustive overview of all data integration approaches.
The evolution of data integration nicely mirrors the different kinds of challenges organizations face when turning data into insights. Starting from the question of how to move the data from a data source into a central repository, data integration is now trying to answer complex strategic topics that reflect many aspects of the entire data architecture such as data governance, the democratization of data, and the enablement of business users.
This e-Book examines the different data integration approaches that have evolved over the past 30+ years. You will learn about the various benefits and challenges that each of these approaches brings and how or if these approaches can help you overcome your data management challenges incl. Data Governance, breaking data silos, and real-time connection to meet the current business objectives.
This eBook is most helpful for Data Architects, Enterprise Architects, BI Managers, Data Warehouse Practitioners, Project Managers.
Learn about the different modern data integration methods and understand the pros and cons of them incl. the different data management capabilities like data governance.
Understand the needs and requirements of the different stakeholders. Based on that, set your goals and priorities for your data integration project.
Make an informed decision on which approach to evaluate based on the findings from step 1 and step 2.
In this whitepaper, Rick van der Lans explains how a modern data architecture can help data scientists work more efficiently.
This whitepaper describes best practices for orchestrating Hybrid- and Multi-Cloud architectures and how Data Virtuality can enable these.
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Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.