Data Silos

Showing 1 - 8 of 8 pages tagged with: Data Silos

Data Science Operationalization: The Journey of Enterprise AI

As we move into a world driven by AI initiatives, we find ourselves facing new and diverse challenges when it comes to operationalization. Creating a solution and putting it into practice, is certainly not the same. The challenges span various organizational and data facades. In many instances, the data scientists may be working in silos and connecting to the live data may not always be possible. But how does one guarantee their developed model in a silo is still relevant to live data? How can we manage the data flow and data access across the entire AI operationalization cycle?Join us to...

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Analyst Webinar: Discover how a logical data fabric helps organizations avoid data silos and black holes

In this webinar, we’ll be tackling the question of where our data is and how we can avoid it falling into a black hole.We’ll examine how data blackholes and silos come to be and the challenges these pose to organisations. We will also look at the impact of data silos as organisations adopt more complex multi-cloud setups. Finally, we will discuss the opportunities a logical data fabric poses to assist organisations to avoid data silos and manage data in a centrally governed and controlled environment.Join us and Barc’s Jacqueline Bloemen on this webinar to get the answer and further insights...

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Accelerate Cloud Migrations and Architecture Modernization with Data Virtualization

Denodo customer presentation by John O'Brien, Principal Advisor and CEO at Radiant Advisors.

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Data-as-a-Service (DaaS) for Business Decision Makers

Leverage Data Virtualization to Turn Raw Data into Actionable IntelligenceBusiness decision makers are not analysts, but they are often called upon to play the role of analysts by poring over tables of raw data to derive actionable insights. Ultimately, business decision makers need more than raw data; they need clean, curated information that is custom-fi t to their goals, so that when it arrives, it is immediately intelligible. In short, what they need is data-as-a-service (DaaS).Download this solution brief to learn more about:

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Overcoming Cloud Limitations with a Hybrid Data Hub

Leveraging Data Virtualization to Supercharge Cloud DeploymentsOrganizations are moving to cloud-based infrastructure, to enable SaaS products and other service-oriented initiatives, and forgo many of the costs associated with maintaining on-premises infrastructure. But transitions to the cloud are not easy.As a first step, many organizations move data from multiple sources into cloud based data lakes, only to find that though the data is now stored in a single location, the data is still organized into silos. Organizations also find that security presents additional challenges, since the...

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Combine the Power of Business Analytics with Data Virtualization - Denodo and WNS

Do You Have an Insight Management Strategy?Big Data and the Internet of Things are leading to an exponential growth in data, most of which, unfortunately, is not converted into actionable information. Existing technologies are challenged trying to make sense of this ever-expanding universe of data. Business decision-makers working with traditional technologies are often unable to harness the power of transactional, analytical, social and mobile data.Denodo and WNS, together, enable you to modernize your data and create an insight management strategy by combining the best of Data...

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Denodo Hortonworks Solution Brief

Denodo enhances its data source connectivity offering with certified support for Hortonworks Data Platform, a leader in Apache Hadoop for the Enterprise. Together Denodo Data Virtualization and Hortonworks will help customers to achieve the maximum benefits of their Big Data initiatives.

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Achieve Value and Insight with IBM Big Data Analytics and Denodo Data Virtualization

Denodo´s partnership with IBM has resulted in solutions for integrating data in Pure Data System for Analytics (Netezza) and IBM's BigInsights. After extensive collaborative technical work and optimization, the performance for the Denodo Platform was tested in the IBM Labs and it exceeded expectations in all three use patterns initially contemplated to be co-marketed by IBM. These patterns are described in the IBM solution brief.

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