| Summary: |
Effective data preparation is essential for impactful analysis and business insights, and Oracle Analytics provides two powerful tools—Dataset Editor and Data Flows—to streamline this process with ease and precision. The Dataset Editor enables users to join tables from multiple sources into curated datasets, leveraging AI, machine learning (ML), and intuitive modeling tools to enhance productivity. Meanwhile, Data Flows allow users to union, aggregate, transform, and cleanse data, apply calculations and ML models, and create cached datasets, all within a user-friendly visual interface that eliminates the need for complex coding. Join this session to discover how these tools empower business analysts to efficiently create curated datasets, address critical business challenges, and drive better decision-making. |
| Biographical Sketch: |
Luis Rivas is a Director of Product Management for Oracle Analytics, specializing in self-service data modeling and augmented data preparation. With more than 25 years of experience in solving complex data challenges, Luis was a founding member of the engineering team at Silver Creek Systems, a startup that applied machine learning, NLP, and semantic technologies to enhance product data quality. Silver Creek was acquired by Oracle in 2010. Luis also played a pivotal role in the development and management of Oracle Big Data Preparation Cloud Service, which now powers the augmented features within Oracle Analytics for data modeling and preparation. |
