How data virtualization adds value to your data science stack (APAC)

Presented by

Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Principal Sales Engineer, Denodo

About this talk

Title: How data virtualization adds value to your data science stack (APAC) Abstract: For their machine learning and data science projects to be successful, data scientists need access to all of the enterprise data delivered through their myriad of data models. However, gaining access to all data, integrated into a central repository has been a challenge. Often 80% of the project time is spent on these tasks. But, a virtual layer can help the data scientist speed up some of the most tedious tasks, like data exploration and analysis. At the same time, it also integrates well with the data science ecosystem. There is no need to change tools and learn new languages. The data virtualization platform helps data scientists offload these data integration tasks, allowing them to focus on advanced analytics. In this session, you will learn how data virtualization: • Provides all of the enterprise data, in real-time, and without replication • Enables data scientists to create and share multiple logical models using simple drag and drop • Provides a catalog of all business definitions, lineage, and relationships
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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.