Data Management

Showing 61 - 70 of 172 pages tagged with: Data Management

The Evolution of Data Stack: From Query Accelerators to Data Fabrics (EMEA)

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 solution to help you meet your business objectives?Join Denodo for a webinar featuring guest speaker, Forrester VP and Principal Analyst, Noel Yuhanna, to...

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The Evolution of Data Stack: From Query Accelerators to Data Fabrics (APAC)

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 solution to help you meet your business objectives?Join Denodo for a webinar featuring guest speaker, Forrester VP and Principal Analyst, Noel Yuhanna, to...

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The Evolution of Data Stack: From Query Accelerators to Data Fabrics (NA)

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 solution to help you meet your business objectives?Join Denodo for a webinar featuring guest speaker, Forrester VP and Principal Analyst, Noel Yuhanna, to...

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Myth Busters VIII: I'm moving to the Cloud, so I don't need data virtualization

So your company has decided to modernize its systems and migrate to the Cloud. Or, maybe, you're in the middle of this modernization and migration process right now. Taking advantage of the dynamic agility and flexibility of the Cloud offerings is certainly something to look forward to. But how do you ensure that your users can access the data that they need from the various Cloud and on-premise data sources - before, during, and after the migrations?The Cloud vendors will tell you that if you move your data to the Cloud, you won't need technologies like data virtualization. Is this true? Is...

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Logical Data Fabric and Data Mesh – Driving Business Outcomes

Presented at TDWI VIRTUAL SUMMIT - Modernizing Data ManagementWhile the technological advances of the past decade have addressed the scale of data processing and data storage, they have failed to address scale in other dimensions: proliferation of sources of data, diversity of data types and user persona, and speed of response to change. The essence of the data mesh and data fabric approaches is that it puts the customer first and focuses on outcomes instead of outputs.In this session, Saptarshi Sengupta, Senior Director of Product Marketing at Denodo, will address key considerations and...

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A Road Map to ESG Powered by Data Virtualization

IDC data shows that between 2021 and 2022 there has been a 10% increase in European organizations that are in the more mature stages of their sustainability initiatives; while for 19% of European organizations, over 10% of their IT budget is driven by sustainability-related actions.Data lies at the heart of an ESG framework, yet it remains a major hurdle. For most organizations data is stored in numerous different silos, from mainframes, to mid-range servers, different data warehouses, and of course the cloud. Enterprises have difficulty bringing all of this data together in a coherent way –...

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Reduce Supply Chain Friction through the Power of Integrated Data

Nobody needs to tell organizations dependent on supply chains that recent times have been full of uncertainty. Disruptions, economic challenges, global crises, and sudden changes in consumer demand continue to test resilience and agility. Supply chains today are complex and global, often involving hundreds, if not thousands, of suppliers and products at different stages of the journey from raw materials to finished goods in the hands of customers. However, data is distributed everywhere across global supply chains, and it is not always accessible, usable, up-to-date, or well governed....

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Enabling a Data Mesh Architecture and Data Sharing Culture with Denodo

Data Mesh presents a new distributed and decentralized paradigm for data management, where autonomous domains expose their own data as "data products" to the rest of the organization. It tries to reduce bottlenecks derived from an excessive dependance on centralized IT teams, and capitalizes on the specialized data knowledge that domain users already have. However, Data Mesh literature leaves the implementation of these ideas very open to each organization.Watch on-demand and learn:Deep dive into the key ideas of Data MeshUnderstand how Denodo can help you implement a Data MeshHear directly...

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NCS Data Fabric with Denodo

An enterprise may never use 60-70% of its data, which affects the organization’s ability to make the optimum data driven decisions. The major factors that are affecting this include;Data silos and complex data integrationData lifecycle managementData access and controlCheck out this Whitepaper to discover how NCS and Denodo tackle these challenges using a Data Fabric approach and by provisioning a well-controlled logical data management framework.

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Customer case study: Bültel

In this interview, Uwe van Almsick, Head of IT Business Solutions at Bültel, speaks about the importance of data virtualization when helping them to remove data silos and optimize the access of their information.In this video you will learn:How Bültel got back the control of their information by using data virtualizationWhy they selected Denodo among the rest of the data integration vendorsBültel's plans of expansion in data management

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