SAP

Leveraging Data Virtualization to Supercharge Cloud DeploymentsOrganizations are moving to cloud-based infrastructure, to enable SaaS products and other service-oriented initiatives, and forgo many of the costs associated with maintaining on-premises infrastructure. But transitions to the cloud are not easy.As a first step, many organizations move data from multiple sources into cloud based data lakes, only to find that though the data is now stored in a single location, the data is still organized into silos. Organizations also find that security presents additional challenges, since the...

Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed.

Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is integrating the silos using a semantic data layer.

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.

Understand the benefits of using the Denodo Platform with HPE Vertica, and how you can leverage this integration to improve performance increase information agility.

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.

Denodo enhances its data source connectivity offering with certified support for Hortonworks Data Platform, a leader in Apache Hadoop for the Enterprise. Together Denodo Data Virtualization and Hortonworks will help customers to achieve the maximum benefits of their Big Data initiatives.

A leading global retailer was looking to strengthen its product and pricing strategies by leveraging competitor product and pricing data available on the web, but faced challenges in scaling the manual data acquisition process. So, the company deployed Data Virtualization to automate the extraction of competitor web data and to combine it with historical data to publish reports that drive decision-making. As a result, the company reduced resource costs, increased revenue opportunities and strengthened decision-making.