Logical Data Fabric

Showing 1 - 10 of 70 pages tagged with: Logical Data Fabric

Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer

Panel by Dave Nixon, Enterprise Data Account Executive at Denodo; Darrin Joncas, Managing Partner at W5; Dr. Sathyan Munirathinam, Senior Manager at ASML; and Dimuth Samaranayaka, Executive Manager, Data Analytics at Hastings Deering; and moderated by Joanne Friedman PhD., CEO|Principal, Smart Manufacturing at Connektedminds Inc.

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Data Driven Advanced Analytics using Denodo Platform on AWS

Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.Join this session to learn:How various AWS services (Redshift, S3, RDS) can...

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Hands-On Lab Australia: Cloud Data Integration with a Logical Data Fabric

Join this workshop to achieve the set of skills necessary to efficiently use the Denodo Platform for building a Logical Data Fabric in a cloud environment. Attendees will gain first-hand experience with the end-to-end flow: connect, extract, transform, structure and publish specific targeted data using the Denodo Platform as well as visualize the data using a business intelligence tool.WHAT WILL YOU LEARN?This workshop will provide information on how Denodo Platform and the Data Catalog can be used to:Navigate through the data assets of an organization Identify those data assets that are...

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Future proof Data Management Through Logical Architectures Data Fabric and Data Mesh

Presented at DATAVERSITY Demo Day – Enterprise Data Management ToolsData fabric and data mesh are two concepts frequently mentioned in conversations surrounding enterprise data management. Over the past two decades, enterprises have managed data by oscillating through cycles of centralization and decentralization. Despite the abundance of options, the conundrum remains — businesses want data to be in one place, and easy to find. Collecting all the data into a single location continues to be a challenge. Data fabric and data mesh designs, powered by data virtualization, can help businesses...

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Virtual Hands-On Lab Australia: Cloud Data Integration with a Logical Data Fabric

Join this workshop to achieve the set of skills necessary to efficiently use the Denodo Platform for building a Logical Data Fabric in a cloud environment. Attendees will gain first-hand experience with the end-to-end flow: connect, extract, transform, structure and publish specific targeted data using the Denodo Platform as well as visualize the data using a business intelligence tool.WHAT WILL YOU LEARN?This workshop will provide information on how Denodo Platform and the Data Catalog can be used to:Navigate through the data assets of an organizationIdentify those data assets that are...

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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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Unraveling the Data Lake: MPP integration within a Logical Data Fabric

With the appearance of cloud object storage services like AWS S3 or Azure ADLS, the data lake has seen an upturn in usage as some of the challenges of the original idea were addressed. However, companies across the globe still find it challenging to adopt data lakes into the corporate data ecosystem. While almost infinite in storage, data retrieval from these sources and integration of the data with the corporate ecosystem is still an arduous task for data engineers. This leads to data lakes becoming either a silo or a secondary form of storage instead of feeding business processes and...

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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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LeasePlan Realizes its Next-Gen Data Strategy with a Logical Data Fabric

LeasePlan, a global leader in Car-as-a-Service (with approximately 1.8 million vehicles under management in 29 countries), is transforming from an analog business model to one that is fully digital. LeasePlan worked with Denodo to create a logical data fabric across all its key data sources – modern, cloud-based, and legacy – with a single point of access. Read further to understand how the logical data fabric provides a foundation for data self-service, simplifies migrations to the cloud, and helps LeasePlan to create transformational new use cases in customer experience and convenience,...

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Large Bank Leverages the Denodo Platform as the Foundation for a Shift to a Distributed Data Mesh Configuration

Every day, this bank serves customers across 12 U.S. states with reliable, state-of-the art banking services. Increasingly, this has required the bank to seamlessly reach customers and potential customers across multiple channels including in-person, ATM, mobile, and online channels, with digital services running 24/7 under strict levels of speed, availability, and accuracy. To address these needs, the bank planned a digital transformation that included a re-design of the entire data infrastructure.

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