Logical Data Fabric

Showing 21 - 30 of 93 pages tagged with: Logical Data Fabric

Data Driven Advanced Analytics using Denodo Platform on AWS (APAC)

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

A Hands-On Experience with the Denodo Platform, for data professionals.Data virtualization revolutionizes the business and IT approach to access, deliver, consume, govern and secure data, regardless of its format or source. This mature technology bridges the gap between IT and business users, delivering significant cost and time savings. During this 3-hour virtual hands-on lab, you will be able to test and discover the platform’s data virtualization capabilities first-hand.WHAT WILL YOU LEARN?We will begin with a brief introduction to data virtualization, which will include concepts of data...

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

Data virtualization revolutionizes the business and IT approach to access, deliver, consume, govern and secure data, regardless of its format or source. This mature technology bridges the gap between IT and business users, delivering significant cost and time savings.During this 3-hour virtual hands-on lab, you will be able to test and discover the platform’s data virtualization capabilities first-hand.WHAT WILL YOU LEARN?We will begin with a brief introduction to data virtualization, which will include concepts of data access, integration and delivery, obtaining data on-demand, data services...

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The Value of Using a Logical Approach to Data Management in Financial Services and Insurance

In order for Financial Services and Insurance companies to embrace a data and AI-driven future, they must effectively integrate data from a growing array of sources. This necessity has evolved into a critical requirement for establishing a solid, secure, compliant, and robust data foundation. This foundation is pivotal in generating fresh insights, suggestions, and forecasts. By establishing this groundwork, these companies can develop real-time customer profiles, manage credit risks, combat fraud and financial crimes, ensure data security, address cybersecurity concerns, expand their...

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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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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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