Advanced Analytics and ML: Removing Friction from the Data Pipeline (EMEA)

Presented by

Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo

About this talk

Advanced data science techniques, such as machine learning, have proven to be extremely useful tools to derive valuable insights from existing data. However, they put the pressure on the data scientists to look for the right data and massage it into usable formats – a process that ends up consuming most of their time. In this webinar, we want to discuss the use of data virtualization to obtain the information needed in a more efficient and agile manner, show you the value added by this technology via a predictive analytics demonstration, and finally present a customer success story of this use case. Join the webinar to find out: •How does data virtualization help data scientists accelerate data acquisition and preparation? •How does the Denodo Platform for data virtualization integrate with popular tools from the data science ecosystem, like Spark, Python, Zeppelin, Jupyter, etc.? •How can you use the Denodo Platform to deal with large volumes of data more efficiently? •How is McCormick, a food flavoring giant, using data virtualization to season its machine learning and blockchain landscape?

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For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.