Denodo

Data architecture is more relevant than ever today, because so many user organizations are migrating data to the cloud, modernizing analytics and data warehouses, deploying data lakes and lakehouses, and adopting new practices for data virtualization, sharing, monetization, and marketplaces.These and other data-driven use cases demand massive volumes of data in every structure imaginable, together with a wide range of processing capabilities. A well-designed, cloud-based data architecture provides a home for such highly diverse data and the numerous use cases it enables.This Tactical...

Data lakes have been both praised and loathed. They can be incredibly useful to an organization, but it can also be the source of major headaches. Its ease to scale storage with minimal cost has opened the door to many new solutions, but also to a proliferation of runaway objects that have coined the term data swamp.However, the addition of an MPP engine, based on Presto, to Denodo’s logical layer can change the way you think about the role of the data lake in your overall data strategy.Watch on-demand this session to learn:The new MPP capabilities that Denodo includesHow to use them to your...

Today we are seeing the evolution of organizations becoming more and more data centric. This has given rise to the need to provide data citizens with easy access to fully governed data marketplaces. In this webinar, we will hear from Denodo subject matter experts on the role of the AI powered Denodo recommendations engine in providing easy access to your enterprise data to assist with better decision making. We will also hear from industry expert Sherlock Holmes from Genware Computer Systems on his experiences in data marketplaces.Watch On-Demand and Learn:How an AI powered recommendations...

Data Fabric and Data Mesh had been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter?In this session, Ravi Shankar, Sr. VP and CMO at Denodo, will address the market and analyst views of these two approaches and how they complement each other. His presentation will be followed by an insightful and engaging fireside chat with Mark L Johnson, Executive Director, Client Solutions at Fusion Alliance to further discuss what it all means in terms of value to the customer.Watch On-Demand and Learn:Concepts of a...

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. For these projects to be successful, data scientists, business analysts, and other personnel need access to data from across the enterprise. However, gaining access to all of the data in an integrated central repository has been a challenge, resulting in up to 80% of the project time being spent on data acquisition and preparation tasks.Data virtualization enables many organizations today to gain data insights from multiple, distributed data sources...