Data Hubs

Data warehouses were introduced to offer one integrated view of all the enterprise data spread across numerous isolated transactional systems. Now, organizations are struggling with a myriad of new data architectures that also try to offer some integrated view of the data to all business users and data scientists, such as data lakes, data hubs, data lakehouses.For business users, this is far from ideal. If they need data where should they get it from and how to integrate it? Especially now, that organizations want to become more data-driven, frictionless access to data is crucial.A popular...

Presented at IDC CIO Summit 2021 (Australia)Ongoing digital transformation is generating new data assets that have the potential of offering organisations unprecedented insights into operations, business processes, customer behavior, the competition, and much more. But, if organisations cannot effectively access, integrate, and govern the data that is distributed across on-premises and multiple cloud providers’ data platforms, they are doomed to fall short of realising its value. Enterprise data hubs and data fabrics - built on Data Virtualization capabilities - can avoid the traditional...

Paul Grooten, Data Architect, Statistics Netherlands presents how Statistics Netherlands are using a Spark-based data lake with Denodo's data virtualization in a multi-zone architecture to enable the statisticians to quickly find and use the data in the format they need.