01 May 2019 - USA
Organizations face a complex mix of disparate data sources in every structure imaginable, from batch to real time, generated both on-premises and in the cloud. Data scientists, analysts, and business users are seeking to analyze as much of this data as they can for business advantage. Yet, getting a complete view is difficult with today's data architectures where data is siloed and distributed across multiple platforms and cloud-based services. Moving data into a data warehouse or massive data lake works well for some use cases, but for others it can be more cost-effective, efficient, and agile to use data virtualization to enable you to access and analyze data where it resides.
- How do you make the right choice?
- How does data virtualization fit into a modern data management strategy that must deal with the reality that data is in multiple locations?
Join Denodo’s inaugural Fast Data Strategy Road Tour in a city near you and get the answers!
