Data Virtualization

Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fueled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.In this session, Pablo Alvarez, Global Director of Product Management, takes you for a deep dive into the exciting uses of semantics in data management. He will discuss why semantics is important for your data strategy, and how it can radically change your approach to managing things like self service, security, and...

Presented at Continuous Intelligence Day, powered by Big Data & AI World, SingaporeCredit Agricole is one of the world's largest cooperative financial institutions with a revenue of 26.6B Euros and 142,000 employees. It has operations in more than 30 countries and provides a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management. The Credit Agricole Corporate and Investment Banking division (CACIB) leveraged data virtualization to build a logical data fabric that provides an efficient...

Data mesh, data mesh, data mesh. WHAT IS IT??? How many times have we heard this name drop, yet do we really know how it works?In this webinar, you will learn from Mike Ferguson, an industry expert and the Managing Director of Intelligent Business Strategies, about what makes up a data mesh.

Ensuring Seamless Compliance with the Canadian Personal Information Protection and Electronic Document Act (PIPEDA) and the Québec’s Law 25

Data virtualization has become an essential part of enterprise data architectures, bridging the gap between IT and business users and delivering significant cost and time savings. This technology revolutionizes the way data is accessed, delivered, consumed and governed regardless of its format and location.This 1.5 hour discovery session will show help you identify the benefits of this modern and agile data integration and management technology for your organisation.

In this edition of the UpTech Report, host Alexander Ferguson meets with the SVP & CMO of Denodo, Ravi Shankar, to discuss data virtualization and the future of big data.Through various use cases and examples, Shankar walks us through the exciting history of data analysis, what his company is currently up to, and where this is all going in the future. With Denodo’s data virtualization platform, companies can use modern data integration and management to sift through mountains of data to gain a unified view of the information faster, cheaper, and less effort.

In this Digital CxO Leadership Insights series video, Mike Vizard speaks with Chad Simpson, senior vice president of technology at City Furniture, and his colleague Ryan Fattini, director of data engineering, about data virtualization.

What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad...

Your business stakeholders need more data, faster data, more relevant, and more timely data. They are pushing for a data and analytics self-service model to speed up getting key insights. The CEO has made it clear that this is critical to the continued growth and health of the business...this is your top priority.You've done your research and you really like the concept of using Data Virtualization as a data access layer, supporting the type of self-service wanted by the business. The fact that you have data spread across different departments, as well as in the Cloud, makes this idea even...

Data lakes and data warehouses offer organizations centralized data delivery platforms. The recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important. In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans,...