Data Science from Hadoop to Visualization

75% of organisations believe they are not living up to their analytics potential. Research has shown that there are 5 major factors holding organisations back from fully utilising analytics in their business, these include: It’s time to change your experience with data and analytics. Data is growing exponentially and and more organisations are starting to realise that becoming data-driven is imperative to their success. Join us for this webinar as we take you through how to transform your analytics capability through data and AI to become a truly data-driven business.

Everyone is looking to be more agile as they move to the cloud, but there has never been more data than there is now and data is growing exponentially everyday. Data is also more shared and distributed than ever across an increasingly complex technology landscape.

You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units? KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems.

The Eckerson Group's Dave Wells and Cloudera's Eva Nahiri share the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.