WEBINAR REPLAY
| Audience: Management, Architects
| Technical level: Introductory
Executive Briefing: What Is Fast Data And Why Is It Important?
With With Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc.
Streaming data
This means new challenges for your organization. Whereas a batch job might run for hours, a stream processing application might run for weeks or months. This raises the bar for making these systems resilient against traffic spikes, hardware and network failures, and so forth. The good news is that there is a strong history of facing these demands in the world of microservices.
In this webinar by Dr. Dean Wampler, VP of Fast Data Architecture at Lightbend, Inc., we will cut through the buzz around Fast Data and explore how to successfully exploit this new opportunity for innovation in how your organization leverages data. Specifically, Dean will review:
- The business justification for transitioning from batch-oriented big data to stream-oriented fast data
- The architectural and organizational changes that streaming systems require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
- How some of these requirements can be met by leveraging what your organization already knows about microservice architectures

WEBINAR REPLAY
Executive Briefing: What Is Fast Data And Why Is It Important?
With With Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc. and
Audience: Management, Architects
Technical level: Introductory
Streaming data
This means new challenges for your organization. Whereas a batch job might run for hours, a stream processing application might run for weeks or months. This raises the bar for making these systems resilient against traffic spikes, hardware and network failures, and so forth. The good news is that there is a strong history of facing these demands in the world of microservices.
In this webinar by Dr. Dean Wampler, VP of Fast Data Architecture at Lightbend, Inc., we will cut through the buzz around Fast Data and explore how to successfully exploit this new opportunity for innovation in how your organization leverages data. Specifically, Dean will review:
- The business justification for transitioning from batch-oriented big data to stream-oriented fast data
- The architectural and organizational changes that streaming systems require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
- How some of these requirements can be met by leveraging what your organization already knows about microservice architectures
