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Welcome to an introduction to Data Virtualization and Data Fabric On-Demand Recording.This page is hidden and only available to those with the direct url. Please register with your Deloitte email address only.Topics covered during this session:

Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas. Data virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources.

Based on our understanding for the current big data development trend, we can clearly see that the major challenge for future data platform is how to better support the business change by providing more agility in data platform. Most of the business today build their platform with traditional data architecture which involves a lot of complex data movement. This is the bottleneck for IT to be more agility to face business changes. Denodo provides a new thought about how to leverage data virtualization to reduce the unnecessary data movement with better data catalog, data security as well as fast query engine to help business improve their data platform to be more agile.

Presented at Chief Data Officer November 2021 (A/NZ)

One of the biggest obstacles that organizations face when modernizing their data strategy is poorly integrated data. Data virtualization can help by allowing you to gain a single view of your data without moving it.Data virtualization enables you to:

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.

Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with complex and big data landscape.

In today’s digital economy, customers are all-powerful. They have the ability to search for and find products and services, find reviews and ratings, find out about alternative products and services via search and social networks, ask questions of others about products and services, and find comparison sites.

Panel by François Gaudreau, National Lead-Intelligent Automation at KPMG; Inessa Gerber, Director of Product Management at Denodo; and moderated by Robert Eckersley, Director, Partner and Channels Sales at Denodo.

Presented at Chief Data Officer Live 2021 A/NZ