Cloud Data Strategies for Mission-Critical, Distributed Applications
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, April 26, 2022
Time: 9:00 a.m. PT, 12:00 p.m. ET
When organizations need to move quickly to launch new, digitally transformed applications that rely on terabytes (if not petabytes) of data, they cannot afford to wait for legacy database management systems to catch up. Cloud computing platforms give organizations the ability to stand up systems quickly, but if the data layer cannot offer the linear scalability, low latency, high availability, performance, fault tolerance, security, and agility needed for today’s 24/7 applications, organizations will never realize their objectives.
To support mission-critical operational applications that span geographies, data layers need to synchronize data flowing across hybrid, multicloud environments. In addition, to avoid the problems of disconnected silos, organizations need unified architectures that increase interoperability. Finally, data layers must align with the dramatic growth in cloud-native, containerized development and open source Kubernetes.
Join this TDWI Webinar to learn how organizations can use modern, NoSQL databases implementing open source Cassandra to meet the data demands of leading-edge, geographically distributed applications. Along with addressing operational data management, speakers will discuss the intersection of NoSQL database management with Anthos, a new managed platform developed by Google Cloud for distributed application deployments implementing Kubernetes.
- How a NoSQL, Cassandra-based database system supports mission-critical application requirements
- Application modernization infrastructure management using Anthos for addressing key issues such as observability for locating and fixing problems and increasing repeatability and autonomy
- Steps for creating a unified data architecture to support shared and connected application services across the organization
- Operating a mission-critical data layer across hybrid on-premises and multicloud environments