Organizations need data science, self-service BI, embedded BI, edge analytics, and customer-driven BI. This seminar provides guidelines, roadmaps, design criteria, tips, design rules, use cases, case studies, and practical examples for developing a new future-proof data architecture.
In this half day seminar, Donald Farmer will cover three easy and effective ways to get started with leveraging data as a resource and analytics as a line of business offering. We will cover communities of practice and tools of choice as well as governance, compliance and privacy.
In this DataOps seminar John O'Brien will cover which principles and technologies to focus on initially. How to adopt DataOps to speed analytics development and delivery. How to continuously engineer, deploy, and operationalize data pipelines with automation and monitoring.
The Logical Data Warehouse, a flexible architecture introduced by Gartner, is based on disconnecting reporting and analysis on the one hand and information sources on the other. Rick van der Lans discusses the architecture, implementation aspects and offers a market overview.
Look at how machine learning and advanced analytical techniques techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage.