Introducing Cloudera Data Science Workbench for HDP

Tonya Harrison, Director of Clinical Care Management at Atrium Health (formerly Carolinas HealthCare System), discusses how Atrium Health is using artificial intelligence technology and predictive analytics to help review cases, resulting in significant time savings and increased compliance.

Metadata is more relevant than ever. It continues to be a powerful enabler for high-value data-driven business activities across operations, analytics, and compliance. However, to maintain this relevance, metadata management must deal with the increasing complexity of today’s business use cases and hybrid data environments. Metadata management is notoriously manual which makes it slow in development and error-prone in maintenance. Metadata management needs better tool automation. Metadata management is typically siloed due to users managing metadata per tool or platform. Metadata management needs a unified solution that is suited to sharing, reuse, governance, and comprehensive views of distributed data.

To reduce the impact of an unfolding crisis, companies need a clear, accurate and early line of sight into emerging risks. Leaders can then act with confidence and seize opportunities to preserve brand reputation while driving operational excellence. To demonstrate how real-time information can help companies gain advanced warn

Building performant ETL pipelines to address analytics requirements is hard as data volumes and variety grow at an explosive pace. With existing technologies, data engineers are challenged to deliver data pipelines to support the real-time insight business owners demand from their analytics. Databricks Delta is the next generation of evolution in big data processing from Databricks, the company founded by the original creators of Apache Spark.