Cloud

Showing 1 - 10 of 84 pages tagged with: Cloud

Customer Case Study: JSE

Denodo helps Johannesburg Stock Exchange with data democratization while delivering better performance at lower cost in the Cloud.

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Expert Panel: Overcoming Challenges with Distributed Data to Maximize Business Value

As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away.Organizations need holistic data strategies for unifying...

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Achieving Self-Service Analytics with a Governed Data Services Layer

In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.  Watch on-demand and learn:How to use a logical data fabric to build an enterprise-...

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Achieving Scalable Agile Comprehensive Data Management and Governance

Data demands are exploding as organizations democratize access and expand into advanced analytics, artificial intelligence (AI), and machine learning (ML). Distributed data environments are putting stress on data integration, turning today’s labyrinth of pipelines and transformation processes into bottlenecks that affect downstream applications. Pressure is growing on legacy systems and practices, driving higher costs and reducing business value.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and data governance. Fortunately, AI/ML-infused...

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Mastering Cloud Data Cost Control: A FinOps Approach

With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.Attend this session...

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TDWI Best Practices Report: Achieving Scalable, Agile, and Comprehensive Data Management and Data Governance

The data explosion continues to accelerate across distributed landscapes with data on premises and on multiple cloud data platforms. Organizations face challenges as well as tremendous potential for increasing the value of data assets, including through data monetization—potential that can go untapped without good data management and governance.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and governance. The latest applications embed sophisticated analytics using AI/ML capabilities that must be provisioned with continuous, integrated, curated...

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Virtual Hands-On Lab Australia: Cloud Data Integration with a Logical Data Fabric

A Hands-On Experience with the Denodo Platform, for data professionals.Data virtualization revolutionizes the business and IT approach to access, deliver, consume, govern and secure data, regardless of its format or source. This mature technology bridges the gap between IT and business users, delivering significant cost and time savings. During this 3-hour virtual hands-on lab, you will be able to test and discover the platform’s data virtualization capabilities first-hand.WHAT WILL YOU LEARN?We will begin with a brief introduction to data virtualization, which will include concepts of data...

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Virtual Hands-On Lab Australia: Cloud Data Integration with a Logical Data Fabric

Data virtualization revolutionizes the business and IT approach to access, deliver, consume, govern and secure data, regardless of its format or source. This mature technology bridges the gap between IT and business users, delivering significant cost and time savings.During this 3-hour virtual hands-on lab, you will be able to test and discover the platform’s data virtualization capabilities first-hand.WHAT WILL YOU LEARN?We will begin with a brief introduction to data virtualization, which will include concepts of data access, integration and delivery, obtaining data on-demand, data services...

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Logical Data Management as the Foundation for a Data-Driven Organization (APAC)

While most companies have initiatives to become data-driven, the fact of the matter is that data is underutilized. In a recent survey, 62% of respondents indicated they could not find, access, and analyze over half of their data. As a result, your organization makes decisions using a partial view of the facts.One of the main causes for this problem is that your data is distributed over a wide variety of locations and stored in a variety of formats.Modern data-driven organizations are adopting new approaches like a data fabric or a data mesh to help them manage this diverse and distributed...

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Customer Case Study: SpareBank 1

SpareBank 1 perceives Denodo as the key component in their information platform

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