NoSQL

Presented at Enterprise Architecture Virtual Summit (Australia)The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time consuming.A logical data warehouse is a modern data architecture that allows organisations to leverage all of their data...

Presented at Chief Data Officer July 2021 (A/NZ)The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources.Watch on-demand this session to understand how data virtualization:Helps organisations...

The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in...

Presented at Data Architecture Online A/NZThe current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time consuming.A logical data warehouse is a modern data architecture that allows organisations to leverage all of their data irrespective of where the data...

Leading Biopharma Company Leverages Data Virtualization to Gain Speed, Efficiency, and Agility. This customer case study will cover: ­Company's business challenge ­How they used data virtualization to address this business challenge ­ ­Why they chose the Denodo platformWhat the benefits of data virtualization are in their particular case

Enabling Companies to Maximize Cloud ROICompanies are rapidly adopting cloud technologies to gain greater agility and scalability. However, though cloud technologies surmount many challenges, they can also present a few of their own. Data virtualization is a technology that overcomes each of these challenges, enabling companies to gain the maximum benefits from cloud initiatives.Download this solution brief to learn more about the following:

The concern for data privacy is a global concern and like the European Union’s General Data Protection Regulation (GDPR), the California Consumer Protections Act of 2018 (CCPA), will regulate the ways in which businesses must protect personal information.

In this video, Chuck DeVries, SVP Technology Officer at Vizient, discusses how they were able to provide adequate value to member hospitals by creating a broader view of their organizational data enabled by data virtualization.This customer case study video will cover:Vizient’s specific business challengeHow they used data virtualization to address this business challengeWhat the benefits of data virtualization are in their particular caseWhy they chose the Denodo platformHow they plan to utilize the Denodo platform and data virtualization in future

Leveraging Data Virtualization To Avoid Cloud PitfallsCompanies are rapidly moving from desktop apps to cloud-based apps, and they’re moving data from physical data centers to cloud-based repositories. These trends show no signs of slowing down; IDG predicts that by 2018, the typical IT department will house most of its apps and platforms in the cloud. Unfortunately, both app migrations and data migrations are fraught with challenges, and companies will need to overcome these challenges if they hope to take full advantage of cloud benefits. 

Digital transformation and the insurance industry - taking customer connection to a new level.Digital transformation is affecting all industries, and Forrester observes that it is profoundly affecting the insurance industry, saying that “digital insurance strategy leaders must reinvent their companies to become fundamentally digital, from underwriting through to claims settlement.”Download this solution brief to learn more about the following: