On-Demand

New Directions in Modern Data Management: Open Source and in the Cloud

When: Mar 25, 2020 | 11:00 am
Duration: 45 minutes
Featured Speaker: Alvin Richards, Chief Product Officer, Redis Labs
Audience: Developers

The popularity of open source product stacks that have been adopted and enhanced by cloud vendors is rapidly driving organizations to modernize their enterprise data management environments. However, modernization goes beyond lifting existing on-premises applications and shifting them to a cloud platform.

Instead, organizations are leveraging a combination of open source products across a hybrid of on-premises and multicloud platforms to:

  • Simplify real-time data integration of structured and unstructured data
  • Rapidly analyze data to produce predictive and prescriptive models
  • Incorporate embedded analytical models to drive profitable actions

Join Redis Labs’ Chief Product Officer, Alvin Richards in an informative panel discussion with industry experts from Datastax and Influxdata. TDWI affiliate analyst David Loshin will lead the discussion on new and emerging practices and techniques and provide answers that help you plan successful modernization programs.

About the Speaker

Alvin Richards, Chief Product Officer, Redis Labs

Alvin has held various executive roles, most recently as the field chief technology officer at MariaDB, vice president of product at Aerospike and engineering lead at MongoDB. He has worked with SasS startups, enterprise storage (NetApp) and byte-code virtualization and containers (Docker). Alvin’s early experience as a software engineer at Oracle provided a springboard for his career success building and leading engineering teams across the globe.

About the Speaker

David Loshin, President, Knowledge Integrity

Recognized world wide as an information management industry thought leader, David has dedicated many years to popularizing best practices for business intelligence, data governance, performance computing, master data management, predictive analytics, and data quality.

View this Webinar