SaaS

The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in...

Presented at Data Architecture Online A/NZThe current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time consuming.A logical data warehouse is a modern data architecture that allows organisations to leverage all of their data irrespective of where the data...

The Denodo Platform for AWS accelerates the adoption of data virtualization with ready-to-use software on the scalable Amazon platform.

Microsoft Azure is an ever-expanding set of cloud services to help meet your business challenges and cloud computing needs. The Denodo Platform for Azure helps accelerate the cloud journey by supporting a variety of use cases and simplifying integration across the disparate data sources on-prem and in the cloud, using a hybrid architecture design.Download this solution brief to learn about: Getting started with the Denodo Platform for Azure.The benefits and use cases of the Denodo Platfom for Azure.The deployment options, support data sources and high level architecture.

Enabling Companies to Maximize Cloud ROICompanies are rapidly adopting cloud technologies to gain greater agility and scalability. However, though cloud technologies surmount many challenges, they can also present a few of their own. Data virtualization is a technology that overcomes each of these challenges, enabling companies to gain the maximum benefits from cloud initiatives.Download this solution brief to learn more about the following:

Avinash Deshpande, Principal, Big Data and Advanced Analytics at Logitech presents their data virtualization use case to successfully migrate to the cloud.

Oil and gas companies are leveraging data virtualization to gain unprecedented efficienciesRecent years have been particularly challenging for oil and gas companies. Priced at just over $50 per barrel in 2016, brent crude oil had been priced at $115 just five years ago, and this harsh reality has affected the operational strategies of oil and gas companies around the globe. Savvy oil and gas companies are actively seeking areas of inefficiency that they can invigorate, as often, data cannot be leveraged because it is poorly integrated.Download this solution brief to learn more about:

A Journey Towards an Agile, Data-Driven InfrastructureThe Company, being one of the largest multinational companies, with offices, data centers, and fabrication facilities all over the world, developed a heterogeneous ecosystem of tools and technologies over time, giving rise to a complex, distributed data ecosystem. As its IT culture was not historically suited for reusable information, The Company experienced and egregious misuse of resource time and effort. As challenges became overwhelming, The Company searched for an agile data access solution.Download this case study to learn more about:

Leveraging Data Virtualization To Avoid Cloud PitfallsCompanies are rapidly moving from desktop apps to cloud-based apps, and they’re moving data from physical data centers to cloud-based repositories. These trends show no signs of slowing down; IDG predicts that by 2018, the typical IT department will house most of its apps and platforms in the cloud. Unfortunately, both app migrations and data migrations are fraught with challenges, and companies will need to overcome these challenges if they hope to take full advantage of cloud benefits. 

Josh Wise, Enterprise Architect for data virtualization at Intel presents how Intel built a modern data architecture with data virtualization at its core for not just one, two, or three projects but a host of them that span the entire enterprise and support important business operations such as supplier lifecycle management.