Data Abstraction Layer

This brief explores CDH and the Denodo Platform, and how these technologies process, integrate and make information available to consuming applications in a manner that is meaningful to the business.

Data volumes are growing exponentially, and traditional, on-premise data warehouses are costly to scale. However, companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but companies are reluctant to migrate from legacy systems, since this would result in costly downtime.Download this Denodo and Snowflake Cloud Migration Solution Brief to learn about:Migrating to Snowflake from legacy on-premises sources or from another cloud source, with zero-downtime.Building the foundation for a logical data warehouse or logical...

Leverage data virtualization for seamless M&A that deliver expected gains.Companies engage in mergers and acquisitions (M&A) to gain new capabilities, reduce operational costs, eliminate competitors, and enter new markets. Unfortunately, most M&A eff orts fail to deliver the results that upper management expects.One reason for this high failure rate is that M&A activities need to be resolved as quickly as possible, since they carry a cost, yet they require complex integrations at the technology level, which take time. Employee and customer data, sales processes, and financial...

Physical data lake solutions are constrained by factors such as duplication of data, governance limitations, and the risk of becoming another data silo. Data virtualization allows you to leave all of the source data in place, stored across myriad, heterogeneous systems, and establish a virtual, “logical data lake” for accessing all of the data.Download this solution brief to learn the benefits of a Logical Data Lake.

This brief explores 3 use cases that demonstrate the power of CDH and Denodo Platform - Data Warehouse Offloading, Logical Data Warehouse, and the Internet of Things.