Data Analytics

Le odierne strategie di migrazione verso il cloud devono tenere conto della maggiore complessità, in tali contesti, delle attività di Governance dei dati e di definizione delle architetture ibride e multi-cloud, riducendo al contempo i rischi intrinseci di perturbare le attività degli utenti e delle applicazioni durante la migrazione. I vantaggi principali della tecnologia di virtualizzazione dei dati forniscono l'astrazione necessaria per disaccoppiare gli utenti e le applicazioni da attività quali la migrazione e il consolidamento dei dati, aggiungendo al contempo la semantica e la...

You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.In this webinar we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't...

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.

In tutte le aziende c’è una sempre più forte necessità di ottenere informazioni e indicazioni da dati che continuano a crescere in numero e varietà delle fonti, e in cui la componente non strutturata sarà presto prevalente. La soluzione a questo nuovo scenario, secondo gli analisti, è il data warehouse logico (LDW), che ha dimostrato avere una base più agile per la delivery e la trasformazione dei dati, semplificando il collegamento rapido di nuove sorgenti dati. Partecipa a questo webinar per approfondire come la tua organizzazione può migrare in modo graduale e con successo verso un'...

More than anything else, the COVID-19 crisis has accelerated the focus on the use of enhanced data in our health system. There are a range of enhanced data sets and analytical tools that can be used to emerge stronger on the other side.Join this session to learn:How to aggregate health data from multiple data sets, across data sources for fast, powerful insights.How to use data and analytics to monitor supply chain and make data-driven decisions for maximum efficiency.How to use analytics tools to monitor patterns in data access to deliver early-warnings of misuse, fraud and improve cyber...

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...

For their machine learning and data science projects to be successful, data scientists need access to all of the enterprise data delivered through their myriad of data models. However, gaining access to all data, integrated into a central repository has been a challenge. Often 80% of the project time is spent on these tasks. But, a virtual layer can help the data scientist speed up some of the most tedious tasks, like data exploration and analysis. At the same time, it also integrates well with the data science ecosystem. There is no need to change tools and learn new languages. The data...