Packed Lunch Webinar Series

Traditional Data Management approaches that rely on collecting data within a centralized data store, such as a cloud data warehouse or data lake, are core building blocks for your data modernization efforts. However, you need more to address the diverse needs of today's businesses. Hybrid/Multi-cloud, SaaS, and data privacy laws are just a few examples of why data will remain distributed.In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist with Denodo, will discuss why you need to complement these centralized solutions with a logical data management platform that...

The cloud is no longer the future; the cloud is now. Companies continue to shift their workloads and data to the cloud to leverage the speed, agility, and efficient scalability the cloud offers. As a result, there is increasing attention given to cloud-based data warehouses, data lakes, and lake houses as a way for organizations to simplify managing their ever-increasing volumes of data. However, many find that these new technologies only complicate the data management process.Join Kevin Bohan, Director of Product Marketing at Denodo as he explores the challenges faced when adopting cloud...

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...

The ever-growing data landscape drives initiatives to automate many aspects of the analytics lifecycle; such as data access, enablement of semantics, BI and others. Automation has become an integral part of our daily lives in the enterprise data fabric. The AI-driven initiative to automate the data access and provide guidance to the right data assets, correlates with the initiatives of the data scientists to get access to more curated data.In this session we will discuss:The need for AI driven automation and associated challengesLogical Data Fabric architecture for AI initiativesEmpowering...

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...

It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before. As data gets increasingly distributed across systems and locations, every forward looking organization should adopt a logical architecture to be future ready.Watch On-Demand and Learn: Key priorities of data and analytics leaders for business transformationWhy a monolithic and physical data...

We all heard about Self-Service initiatives, or maybe even implementing one. With the evolution of data landscape we have become data driven, when we should be information driven. Data without context lacks meaning. Data meaning is what drives the valuable business insights. We need to drive our consumers to the right information, while providing guided and governed experience across diverse consumer community.Attend and Learn:What it takes to make Self-Service initiatives successfulHow Governed Data Service Layer enables guided data discovery

Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fueled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.In this session, Pablo Alvarez, Global Director of Product Management, takes you for a deep dive into the exciting uses of semantics in data management. He will discuss why semantics is important for your data strategy, and how it can radically change your approach to managing things like self service, security, and...

Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:The benefits and shortcoming of cloud data lakesThe role and value of data virtualization in this scenarioNew development in data virtualization for cloud

How data virtualization works as a service container, as a source for microservices and as an API gateway.