This full-day workshop examines the emergence of new trends in data warehouse implementation and the deployment of analytic ecosystems. We will discuss new platform technologies such as columnar databases, in-memory computing, and cloud-based infrastructure deployment. We will also examine the concept of a “logical” data warehouse—including an ecosystem of both commercial and open source technologies. Real-time analytics and in-database analytics will also be covered. The implications of these developments for deployment of analytic capabilities will be discussed with examples in future architecture and implementation. This workshop also presents best practices for deployment of next-generation analytics using artificial intelligence (AI) and machine learning.
You Will Learn
- Interactive analytics using in-memory, columnar, and other emerging database technologies
- Analytics in the cloud
- Real-time streaming and analytics
- Leveraging open source technologies such as Hadoop, R, Spark, Presto, and other emerging solutions
- Data lake construction with use of NoSQL and late-binding analytic architectures
- AI and machine learning