data architecture

Mitesh Shah, Senior Cloud Product Manager for Denodo, gives a product demonstration of the data source as an API and managing the API via Denodo Plarform.Watch this demo to learn:How logical data architecture can enable organizations to transition data faster to the cloud with zero downtime and ultimately deliver faster time to insight.

To help alleviate the ramifications of COVID-19, Denodo launched the Coronavirus Data Portal (CDP), a collaborative initiative that leverages data virtualization to unify critical datasets originally exposed in different formats from multiple sources and countries, and make the unified data open to everyone.Using the CDP and the data virtualization capabilities of the Denodo Platform, pmOne created detailed reports and AI analysis, seamlessly orchestrating all of the information streams in the pmOne Share Cockpit.Working together, Denodo and pmOne provides the global community with...

Data is at the center of this digital transformation, but caution needs to be taken to ensure customers’ data rights, privacy and security are top priorities, especially with initiatives like Open Banking and shifts to Cloud environments. So how do banks move forward, living up to market expectations and staying competitive while protecting their customers and complying with regulations?Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations. They need agile access to information that can be...

Reporting tools, while important and necessary, focus on the visualization of data and it’s presentation to the business user. Data virtualization is a governed data access layer designed to connect to and provide transparency of all enterprise data. Yet the myth suggests that these technologies are interchangeable. So we’re going to take it on!Watch this webinar as we compare and contrast BI tools and data virtualization to draw a final conclusion.

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.Attend this webinar and learn:

L'une des idées fondamentales derrière la virtualisation des données est le découplage des sources de données avec les méthodes de consommation. Pourquoi le besoin en requêtes de données dans JSON sur HTTP devrait-il nécessiter du développement supplémentaire? Denodo fournit un accès immédiat à ses ensembles de données via REST, OData 4, GeoJSON et d'autres protocoles, sans codage requis. Facile à faire évoluer, cloud-compatible et directement intégrable aux plateformes de gestion d'API, Denodo est l'outil idéal pour réussir votre stratégie API !Dans cette session, nous aborderons les points...

ติดสปีดการวิเคราะห์ข้อมูลด้วยตัวเองแบบรวดเร็วแม่นยำด้วย Data Virtualization และ Data Visualisationองค์กรชั้นนำกำลังขยับตัวไปสู่การวิเคราะห์ข้อมูลทางธุรกิจด้วยตัวเอง เพราะผู้ใช้งานต้องการการเข้าถึงข้อมูลแบบทันทีเพื่อเห็นภาพแบบองค์รวมและหลากหลายมิติโดยไม่ต้องคำนึงถึง ตำแหน่งและ แหล่งที่มา หรือชนิดของข้อมูลสำหรับการตัดสินใจครั้งสำคัญData Virtualization (การทำให้เห็นข้อมูลแบบเสมือนจริง) และ Data Visualisation (การทำให้เห็นข้อมูลเป็นภาพ)ทำงานด้วยกันผ่านชั้นข้อมูลเชิงความหมายที่เป็นรูปแบบสากล Webinar...

Moving applications and data to the Cloud is a priority for many organizations. The benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. However, the journey to the Cloud is not as easy as many people think. The process of moving application and data to the Cloud is challenging and can entail widespread disruption across the organization if not carefully managed. Even when systems are migrated to the Cloud, the resultant hybrid or multi-Cloud architecture is more complex for users to navigate, making it harder for them to get the data that they need to...

Join us for a quick 30 minute webinar, Data Strategies for Managing the Cycles in Oil and Gas, featuring Quinn Lewis, Consulting Director at Denodo and former Technology Manager at Anadarko.Recent challenges for oil and gas companies have affected the operational strategies around the globe. One attractive option is to actively seek areas of inefficiency that they can invigorate, but often, data cannot be leveraged because it is poorly integrated. This session will address how data virtualization can be brought to bear to aid the industry, and will help attendees:Understand the impacts of...

The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. Dealing with bureaucracy, different languages and protocols, and the definition of ingestion pipelines to load that data into your data lake can be complex. And all of this without even knowing if that...