Now you have some idea about logical data fabric. But you may be wondering how does it look like in real life implementation, from a Denodo customer's perspective. Denodo customer Total will walk you through how their logical data fabric evolved over time.
Ok, now we have logical data fabric, from a technology perspective. But what will the business users use it for? How exactly will they use it? These panel experts will draw upon their experiences from customer implementations to provide tangible suggestions.
Now you understand what a logical data fabric is, but what can you use it for? What are the key business challenges that can be quickly and better solved using logical data fabric? The experts offer their insights.
Many companies transcend the hybrid world these days on their way to a multicloud solution. How did they do it? What worked and what did not? This panel explores those questions and gives pointed advice on effective strategies that you can use to spur your own cloud journey.
On the surface, logical data fabric architecture appears to be simple, for all your enterprise data needs, but behind the simplicity is a complex medley of disparate data sources that are unified by the fabric. An Enterprise Data Architect at Konecranes presents how the company used the fabric to simplify a complex IT architecture.
Implementing a logical data fabric is not a one-shot deal. It is a journey. How do you start small, demonstrate ROI, and then expand to additional use cases? This presentation provides practical tips on how to start and later expand a logical data fabric implementation.
Now we have logical data fabric, from a technology perspective. But what will business users use it for? How exactly will they use it? These panel experts will draw upon their experiences from customer implementations to provide tangible suggestions.
Buying and selling on cloud marketplaces is easy and convenient, but is not without its challenges. In this session, the panelists discuss how to get started launching products on cloud marketplaces, what aspects to consider when buying, and more.
LeasePlan, world leader in fleet management, created a Global Data Hub or a logical data fabric for analytics at scale, including cloud based analytics. Listen to this session to learn how LeasePlan's Global Data Hub is transforming LeasePlan's fleet management with better predictive and prescriptive maintenance.
DNB, Norway's largest financial services group created Insight Platform for Analytics – a self-managed analytics ecosystem by bringing data and code together, for creating brilliant insight and valuable data products. Listen to this session to learn how a logical data fabric was deployed for everyone at DNB to start building their own data science use case today, tomorrow and beyond, in a distributed and decentralized IT Landscape.
Data Scientists build models to unearth associations among different data points that can deliver vital business insights to effect better decisions. In this presentation, a Denodo partner elaborates how data scientists can use data virtualization for advanced analytics to enable better decisions.
The whole world has been ravaged by the pandemic. As the world fights to return to normal, new information is needed on when it is safe to go back to work, school, restaurants, etc. In this vibrant panel discussion, participants discuss how data science and data virtualization can help with restoring confidence and health.
Over the last 20 years, data integration and management has grown to include many different capabilities, but it has now become a burden for users, who spend an enormous amount of time to accomplish data tasks. In this panel, the experts will present how users can overcome legacy data integration challenges using artificial intelligence (AI)/machine learning (ML).
Traditional data integration is falling short to meet new business requirements - real-time connected data, self-service, automation, speed, and intelligence. Forrester analyst Noel Yuhanna explains how data fabric is emerging as a hot new market for an intelligent, unified platform.
In this keynote presentation, TDWI analyst Philip Russom describes data virtualization as an appropriate data management strategy when advanced analytics applications demand very fresh data or when advanced analytics data is distributed across multiple data platforms in a hybrid data architecture.
The world economy took a toll due to COVID-19. But has that stopped venture capital investments? In this fireside chat, Denodo CEO Angel Vina asks Pro-Football Hall of Famer and Investor Steve Young which technologies are worth the dime.
Data visualization and Data virtualization are complementary technologies. But how do they come together under a common data fabric? This presentation covers how organizations are advancing their data fabric capabilities leveraging innovations in these two technologies in areas of self-service, data catalog, cloud, and artificial intelligence (AI)/machine learning (ML).
Are logical data fabrics a high priority to implement now? This esteemed panel will explore whether or not organizations should jump on the logical data fabric bandwagon now. Watch out for interesting insights that might help your data strategy.
What are the five key features in Denodo 8? Listen to five subject matter experts explain five Denodo 8 features in 5 min each. This session will become the basis for many detailed presentations that deep-dive into each of these features.
How is a logical data fabric different from a physical data fabric? What are the advantages of one type of fabric over the other? Attend this session to firm up your understanding of logical data fabric.
Is logical data fabric one monolithic technology, or is it comprised of different components? If so, what are they? In this presentation, Denodo CTO Alberto Pan explains what components make up logical data fabric.
Cloud data integration is one of the key use cases within Denodo Platform 8.0. In this technical deep-dive session, the head of product management elaborates and demos the capabilities, automation, and deployment of this latest Denodo version for cloud data integration.
Cloud marketplaces have removed the barrier from the technology procurement process. In which marketplaces is Denodo 8.0 available? How do you assess which configurations to purchase? In this session, Denodo's cloud product manager answers all of these questions and shows how to perform key activities, in a demo.
Data science, for it to deliver useful insights, requires all enterprise data. In this presentation, a Denodo SME discusses how data virtualization enables data science by providing all enterprise data in real time.
Data discovery is key for data governance initiatives. Denodo's data catalog has long enabled business users to search for data and discover relationships. That capability has been automated in Denodo 8 with AI/ML. Find out how.
Passive metadata is information about the data that is not acted upon. Active metadata uses an AI/ML feedback loop to feed recommendations to business users. In this session, a Denodo partner presents how to transition from passive to active metadata, with intelligence.
Those who have dabbled in data virtualization often ask about its performance. In this presentation, the head of Denodo product management details the 5 different capabilities available within data virtualization to accelerate queries and rapidly deliver the results.
First it was the database, then the data warehouse, and now it is the data lake. IT teams have tried to centralize data into a single repository for years, only to realize that that concept is a myth. In this presentation, a data virtualization authority presents the shortfalls, and what needs to be done to overcome them.
Why are you in the data game? Do you know the core values of your company? Do your coworkers and your leadership? And do you know and understand the essence of your own core values? Are you living those values in everything you do? Jeffrey Hayzlett, published author and television personality, has the answers.