Are you ready to take your data management investment to the next level? We are excited about the data expert speakers who will be joining this year from leading Denodo customer and partner organizations including, AWS, Accenture, BPX Energy, Estes Express Lines, Perkins Coie, TDWI, and more, as well as Denodo executives and specialists. With over 35 sessions, you can expect a great time of learning, exchanging expertise, and networking with...

Data fabric and data mesh are two concepts frequently mentioned in conversations surrounding enterprise data management. Over the past two decades, enterprise public and private sector organizations have managed data by oscillating through cycles of centralization and decentralization. Despite the abundance of options, the conundrum remains — data consumers want data to be in one place, and easy to find. Collecting all the data into a si...

While most companies have initiatives to become data-driven, the fact of the matter is that data is underutilized. In a recent survey, 62% of respondents indicated they could not find, access, and analyze over half of their data. As a result, your organization makes decisions using a partial view of the facts. One of the main causes for this problem is that your data is distributed over a wide variety of locations and stored in a variety of fo...

The data landscape has become more complex with new use cases like IoT, Streaming and Edge analytics. To better manage enterprise data distributed across data lakes, data warehouses, and many other systems residing on-premises and in the cloud, enterprises are turning to various data management technologies like query accelerators, data virtualization, and data fabrics. Each address specific needs of an organization, but which is the right sol...

Can you follow agile methodologies in Denodo development? What are the activities of the different teams in a sprint? What are the best ways to manage your development, testing, and promotion? Join us for this session with Princess Jamelyn Ramos, Technical Consultant at Denodo, to get insights on how to plan and manage your sprint activities in Denodo development with recommended best practices. Attend and Learn: Sprint timeline and activities...

With the supply chain crisis remaining at the forefront of public concern, Transportation Secretary Pete Buttigieg recently commented on Twitter that the data sharing bedrock within the White House' Freight Logistics Optimization Works (FLOW) initiative will help streamline a clogged supply chain. "Sharing data is key to making the most of the physical infrastructure we have," he said. By Harmonizing processes, applications, and data being sha...

"Data mesh" is a new data analytics paradigm proposed by Zhamak Dehghani. It is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical and distributed architectures, Denodo supports many of the data mesh principles. Join Denodo to learn about the foundational principles of Data Mesh and experience first-hand how Logical Da...

Join us for a panel discussion on the current IT modernization challenges in government. Intelligent data fabric accelerates mission critical use cases such as integrated analytics. Government CDOs are managing sensitive data with the help of modern data governance and security to protect the agency's data. Register now for an opportunity to understand the three goals of Data Fabric Architecture. Attendees of this webinar will: Learn how to de...

Join us for a panel discussion on the current IT Modernization challenges in government and how the Data Fabric can play a role in resolving these issues. During this session, the speakers will discuss three major IT transformation case studies across DoD, civilian agencies, and commercial sector.Data Fabric Architecture delivers on all three goals:Delivering data much faster with tangible and measurable cost savingsProviding centralized gover...

According to Gartner, organizations with data virtualization will spend 40% less on building and managing data integration processes for connecting distributed data assets, and 60% of all organizations on track to implement some sort of data virtualization by 2022. This solidifies data virtualization as a critical piece of technology for modern data architecture.Join this webinar to learn:Key patterns and use cases of data virtualization Data...