data architecture

Has the data warehouse had its day?

In this session the panel will review and discuss the different architectural approaches being leveraged to solve the challenge of centralized management over a highly distributed and complex data landscape. Data Fabric, Data Mesh, Data Control Plane, Middle Data Platform are all examples of approaches that are being adopted by organisations to manage data and its access. We will examine how Data Virtualization and a logical first approach can play a key role in shaping your data architecture to help drive business value and keep costs down.

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...

Consumers are increasingly using digital banking tools and insurance models, and these numbers will only continue to grow. Financial and insurance organizations have to adapt to the new and always changing situation while complying with new regulations, such as IFRS17, and embracing ESG criteria.

In recent years, there has been a significant push towards decentralized data organizations where different domains are partially or fully responsible for exposing their own data for analytics.Join us in this session with Daniel Tenreiro, Sales Engineer at Denodo, in which he will share important design guidelines and best practices that can be used to implement many of the decentralization principles, such as the ones defined by the popular data mesh paradigm, using the Denodo Platform, powered by data virtualization.Watch On-Demand & Learn:Overview of decentralized data organizations...

Presented at BIGIT's World Tech Festival 2022, ASEAN   Ongoing digital transformation is generating new data assets that have the potential of offering organisations unprecedented insights into operations, business processes, customer behaviour, the competition, and much more. But, if organisations cannot effectively access, integrate, and govern their data that is distributed across on-premises and multiple cloud providers’ data platforms, they are doomed to fall short of realizing its value. A logical data fabric that uses virtualization capabilities can avoid the traditional approach of...

Modern data and analytics requires empowerment of business users who possess domain knowledge and are best suited to have decentralized data ownership. But the current data landscape, which has a heavy dependency on data warehouse, is limited in terms of flexibility, extensibility and comprehensibility.In this session, we will reflect on the findings from the recent BARC report “The Future of Data Architecture - Has the data warehouse had its day?” with one of its authors, Jacqueline Bloemen, Senior Analyst at BARC. Jacqueline will provide us with insights pulled from the global survey...

A data mesh architecture offers a lot of promise to change the way we manage data – and for the better. But there’s a lot of confusion about a data mesh. People will tell you that you can build a data mesh on top of a data lake or on top of a data warehouse, and that you don’t need data virtualization to build a data mesh.Many vendors are jumping on to the data mesh bandwagon and are claiming that they inherently support a data mesh architecture. But do they? How much of this is hype versus reality? Is it true that you don’t need data virtualization to build a scalable, enterprise-grade data...

Alberto Pan, CTO (Denodo Technologies) und Philip Moston, Principal Consultant für Data & Analytics (QuinScape), sprechen über den Umgang mit komplexen Datenlandschaften, in denen Unternehmen trotz vieler unterschiedlicher Datenquellen oder Anwendungen eine einheitliche Sicht auf Daten benötigen.Die beiden Experten diskutieren, wie man diese Komplexität mit Hilfe von "Datenvirtualisierung" und dem Aufbau einer logischen Datenstruktur bewältigen kann. Sie beleuchten die Geschichte der "Datenvirtualisierung" und erklären, wie dieses Konzept agile Szenarien in heutigen Datenarchitekturen...

As more businesses shift towards a data-driven culture, it has never been more crucial to improve data management, integration and delivery strategies to provide enterprise intelligence at speed. Having a modern data architecture and approach that allows an organization to be agile and adaptive is key. As we democratize data and make it more accessible, we also need to be smarter about how we deliver data to the data consumers and how it is secured and governed.Tune in to this session as our panel speakers from Deutsche Bank, Unilever and Denodo discuss an alternative method for data delivery...