Big Data

Denodo customer presentation by Wang Cheung, Director of Data Platform Architecture, Guardian Life Insurance.

New technologies such as big data, cloud, and the Internet of things (IoT) are increasing the volume and variety of data every day, and companies still struggle with leveraging data assets in a meaningful way. Denodo, the leader in data virtualization, offers a modern, highly effective method for integrating data in real-time and providing a logical data catalog for business use. Wipro has deep expertise across a wide variety of industries, including manufacturing, banking, insurance, telecommunications, healthcare and energy, to enable companies to facilitate massive data management...

To continue the innovation that has always been at the forefront for Festo, the company needed to optimize operational efficiency, automate manufacturing processes, and deliver on-demand services to its business consumers.Download this case study to learn more about:How Festo needed an agile and robust way to integrate data from existing silos in a way that would reduce reliance on IT.How Festo found smarter ways to streamline how they aggregate and analyze data.How they were able to deliver enhanced insight across the business without having to physically move data.How data virtualization...

The Denodo Platform for AWS enabled Logitech's cloud journey with minimal impact on business operations. The Denodo Platform acts a big data fabric layer and sources data for all of Logitech's analytics initiatives from descriptive to prescriptive to predictive analytics including NLP processing engines.Attend this session to learn how Logitech:Reduced TCO such as infrastructure and operational expenses Empowered their business users with advanced analytics capabilitiesUses AWS and Denodo as their innovation engine

Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.Attend this session to hear from the Big Data pioneer, Hortonworks:Why big data and data virtualization should be core technology components of your digital transformationHow to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscapeLearn about key global data management strategies and...

As the oil and gas industry hit a slump and faced volatility few years back, companies scaled down their resources to remain profitable. At that point centralizing data driven insight generation on oil production, pricing and distribution became critical. As one of the largest independent oil and natural gas producer, Anadarko chose Denodo Platform to achieve the same.Attend this session to learn:How logical data marts helped Anadarko in their missionHow data scientists and business users access information real-time using data virtualizationHow data virtualization plays a key role in their...

In this video, Avinash Deshpande, Former Head Of Architecture (Data Solutions, ML & AI) at Logitech explains how they were able to build a cloud solution using data virtualization which gave them access to their data in real-time.

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:

Enabled by Data Virtualization, Unified Semantic Layer Promise Greater Efficiency through Common Definitions.To enable all business users, regardless of technical acumen, to derive value from self-service analytics tools, companies need to be able to provide access to the data through a unified semantic layer, which ensures that no matter the data source, users can access the data using common definitions that are standard, within each particular business culture. However, companies are unable to establish unified semantic layer because of the age-old challenge: Data is spread across multiple...

To engage in proactive field maintenance and service delivery, The Company heavily invested in modern tools and technologies for telematics and predictive analytics. In addition, since The Company depends heavily on part data from the field for predictive analytics, it invested in field sensors and big data technology.All this data, captured several times an hour, is then streamed or transferred into a data lake. The company needed an agile data integration and access layer, one that can easily integrate big data with other sources of enterprise or cloud data in real time. Download this case...