APIs

Showing 1 - 10 of 11 pages tagged with: APIs

Rapidly build and deploy APIs on your enterprise data with Data Virtualization

Last November, Denodo participated in the API Belgium 2021 event in Brussels. Our pre-sales engineer Emily Sergent had the opportunity to give a unique session about APIs and data virtualization.Watch this recording to find out how building APIs on heterogeneous back-end data sources can be simple and require no heavy custom development with Denodo's Data Virtualization platform. Learn how to rapidly build and deploy standardized RESTful, OData and GraphQL APIs with low code/no code simplicity on any data source, from relational databases to cloud and on-premises data lakes, legacy systems to...

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Data Virtualization: Fulfilling The Digital Transformation Requirement In Banking, Financial Services, and Insurance (Middle East)

In the digital transformation era, Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.   BFSI institutions need to update their legacy systems, create a single view of all their data, establish security controls across the entire infrastructure and implement strategies and services that will transform them into digital financial organizations. This can be achieved with Data Virtualization.  In this joint live...

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Data Services and the Modern Data Ecosystem (Middle East)

Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management.  Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo.  Join us for our upcoming Middle East Webinar series episode, “Data Services and...

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Myth Busters: I Access My Data Through APIs–Data Virtualization Can't Do This (Australia)

When you hear data virtualization, do you think BI and analytics? If so, you’re misinformed and missing out on a whole set of possibilities and capabilities of this technology. It is probably also why you think data virtualization is of no use to you if you need to access your data through APIs.This is why we’re back with another Lunch & Learn where we bust this myth!We’re going to enter the world, or ecosystem, of APIs and API-based architectures to investigate whether data virtualization plays a role in it. Maybe we’ll even learn that it possibly can enhance API capabilities and...

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Product Demonstration: APIs in the Modern Data Ecosystem

Chris Walters, Senior Data Solutions Consultant for Denodo, shows how data virtualization enables connectivity to data from anywhere through APIs to use and share data for business processes and AI/ML analytic models.Watch full webinar here.

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Denodo Design Studio: Modeling and Creation of Data Services

Change is the only constant and it is very important for enterprises to keep up with the changing times in an agile fashion. To ensure faster time to market, quick business insights and rapid data driven decision making, it is important that the Data Delivery channel is optimized in the best way possible.With the advent of API Management technologies the demand for data being delivered in the form of a Data Service/APIs is increasing. The ability to make data available in an API format at the click of a button is the need of the hour. Join us to see how easy it is to make enterprise wide data...

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Data Services and the Modern Data Ecosystem

Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management.Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo with Data Virtualization.We will discuss how a business can easily support and manage...

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Myth Busters IV: I Access My Data Through APIs–Data Virtualization Can't Do This

When you hear data virtualization, do you think BI and analytics? If so, you’re misinformed and missing out on a whole set of possibilities and capabilities of this technology. It is probably also why you think data virtualization is of no use to you if you need to access your data through APIs.This is why we’re back with another episode of Myth Busters!We enter the world, or ecosystem, of APIs and API-based architectures to investigate whether data virtualization plays a role in it. Maybe we’ll even learn that it possibly can enhance API capabilities and increase the benefits?Here’s what we’...

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APIs in the Modern Data Ecosystem

Today’s enterprise data ecosystems look different than in the past. In retrospect, the idea of physically consolidating all data into a single location seems quaint. As digital business initiatives focus on exploiting data rather than merely storing it, the growing communities of savvy enterprise users demand connectivity to data assets wherever they exist. Just like how the Web links data from anywhere, data virtualization enables connectivity to data from anywhere through APIs to use and share data for business processes and AI/ML analytic models.Attend this session and learn about how data...

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Three Dimensions of Data as a Service (Middle East)

Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.Coping with data silos that house data that must be combined and provisioned to support decision-making.Exposing purpose-built analytics, such as supply chain, for consumption in...

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