Spark

The combination of Denodo and Looker delivers a modern BI infrastructure built on the foundation of a logical data warehouse. By leveraging templated Looker Blocks for various data sources, getting started with analysis is amazingly fast.Download this solution brief to understand:The benefits of combining data virtualization with data analytics.The data architecture of the Denodo data virtualization platform and the Looker data analytics platform.How Denodo and Looker work together to deliver value to customers such as Ultra Mobile.

Digital transformation and the insurance industry - taking customer connection to a new level.Digital transformation is affecting all industries, and Forrester observes that it is profoundly affecting the insurance industry, saying that “digital insurance strategy leaders must reinvent their companies to become fundamentally digital, from underwriting through to claims settlement.”Download this solution brief to learn more about the following:

Governance, Risk Management and Compliance, (GRC) StreamlinedGovernance, risk management, and compliance (GRC) are three formidable topics in their own right, but they are addressed together because a lapse in one area can create an immediate lapse in the other two. When operating effectively, the three combined facets of GRC enable an organization to survive in a demanding regulatory environment, so that it has a chance to thrive. Conversely, if any of these facets are threatened in an organization, the organization will not be able to remain competitive for long. And although financial...

Leverage Data Virtualization to Manage Data Access from a Single Point.

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...

For several years, Logitech had been developing and delivering data services for analytics using on-premises systems. But provisioning data services for business users has been reactive, time consuming, and inefficient. The company’s modern product and service offerings, such as security video analysis and smart home devices, required predictive analytics, real-time data analytics, and cognitive science. To gain these capabilities, and be able to offer the right service to business users at the right time, Logitech wanted to move IT operations to the cloud. Cloud technology would empower IT...

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.

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.