Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

A brief 20 minute webinar to learn about the importance of validating skills in training platforms, skill profiles and what they can/can’t tell you, and how to use skill reporting to make better hiring decisions.

The Rare Disease Cures Accelerator–Data and Analytics Platform (RDCA-DAP®) is launching a new webinar series with the goal of sharing with the community examples of the use of rare disease person-level data in drug development and regulatory decision making. The series will feature 1-hour webinars highlighting analyses that have been done in individual disease areas, how they informed drug development, and how similar approaches could be applied to common drug development issues encountered in rare diseases. After each presentation time will be allowed for discussion with a panel of Quantitative and Regulatory experts around why the solutions presented were informative, lessons learned and how similar approaches could be applied to related problems.

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.

Cloudera DataFlow (CDF) is a scalable, real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and