According to information technology research and advisory company Gartner, there is a market shift towards hybrid approaches to data management, as companies look to solve complex challenges with a mix of alternative and traditional deployments.
Healthcare providers and health plans are asking the question, “Do we need an enterprise data warehouse, a data lake, or both as part of our overall data architecture?” This question is top of mind with healthcare executives who are challenged to improve medical outcomes for patients, drive patient and member engagement, and bend the cost curve. In order to do so, these organizations are dependent upon the ability to rapidly ingest and analyze large volumes of data in batch or real-time from an extensive range of sources in a variety of formats.
A hybrid approach to data management is emerging in healthcare as organizations recognize the value of an enterprise data warehouse in combination with a data lake.
While traditional enterprise data warehouses continue to deliver a single source of truth for aggregated structured data in self-service reporting and analytics, a complementary data lake architecture provides flexibility to meet the unique data mining, management, and analytics needs of researchers, clinicians, strategists, and marketing teams.
Join us on Thursday, April 6, 2017 at 11 AM CT, for a conversation on data lakes in healthcare. During the webinar we will:
- Provide an overview of a Hadoop-based data lake architecture and integration platform, and its application in machine learning, predictive modeling, and data discovery
- Discuss several key use cases driving the adoption of data lakes for both providers and health plans
- Discuss available data storage forms and the required tools for a data lake environment
- Detail best practices for conducting data lake assessments and review key implementation considerations for healthcare