Logitech

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

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:

Denodo customer presentation by Avinash Deshpande, Chief Software Architect at Logitech.

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

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

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...

Tekin Mentes, SM, Enterprise Data Architect, Data Evangelist, Logitech presents how Logitech migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.

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. 

The problem of data silos, which are data sources that are unable to easily share data from one to the other, has plagued the IT landscape for many years, and continues to do so today, despite the advents of broadband Internet, gigabit networking, and cloud-based storage.The problem with data siloes is that no one can run a query across them; they must be queried separately, and the separate results need to be added together manually, which is costly, time-consuming, and inefficient. To bring the data together, companies use one or more of the following data integration strategies:Extract,...

Data Virtualization was critical in Logitech’s cloud journey with minimal impact on business operations. The Data Virtualization Platform acts as a big data fabric layer, sourcing data for all of Logitech’s analytics initiatives from descriptive to prescriptive to predictive analytics including NLP.In this session, Logitech's Principal for Big Data and Advanced Analytics, Avinash Deshpande will explain:Built a hybrid data fabric to integrate and deliver information across on-premises and cloud seamlessly.Empowered business users with a symbiotic environment for rapid innovation with...