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WEBINAR REPLAY

 | Audience: Architects; Developers

 | Technical level: Basic / Intermediate

Microservices and Fast Data: Industry and Architecture Trends

With Dean Wampler, Ph.D., is Vice President of Fast Data Engineering at Lightbend, Inc.

Streaming data systems, so called “Fast Data”, promise accelerated access to information, leading to new innovations and competitive advantages. But they aren’t just “faster” versions of Big Data systems. They force architecture changes to meet new demands for reliability and dynamic scalability, more like microservices. At the same time, they open up opportunities for new products and services.

Join Dean Wampler with Lightbend and Matt Aslett with 451 Research as they:

  • Discuss the business justification for transitioning from batch-oriented big data to stream-oriented fast data.
  • Explain the changes that streaming architectures require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
  • Discuss how some of these requirements can be met by leveraging what organizations already know about microservice architectures.


WEBINAR REPLAY 

Microservices and Fast Data: Industry and Architecture Trends

With Dean Wampler, Ph.D., is Vice President of Fast Data Engineering at Lightbend, Inc. and Matt Aslett, Research Director for the Data Platforms and Analytics Channel at 451 Research.

Audience: Architects; Developers

Technical level: Basic / Intermediate

Streaming data systems, so called “Fast Data”, promise accelerated access to information, leading to new innovations and competitive advantages. But they aren’t just “faster” versions of Big Data systems. They force architecture changes to meet new demands for reliability and dynamic scalability, more like microservices. At the same time, they open up opportunities for new products and services.

Join Dean Wampler with Lightbend and Matt Aslett with 451 Research as they:

  • Discuss the business justification for transitioning from batch-oriented big data to stream-oriented fast data.
  • Explain the changes that streaming architectures require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
  • Discuss how some of these requirements can be met by leveraging what organizations already know about microservice architectures.




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ABOUT PRESENTER

Dean Wampler, Ph.D., is Vice President of Fast Data Engineering at Lightbend, Inc.

Dean Wampler is the Vice President of Fast Data Engineering at Lightbend, where he leads the creation of the Lightbend Fast Data Platform, a streaming data platform built on the Lightbend Reactive Platform, Kafka, Spark, Flink, and Mesosphere DC/OS. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects and he is the co-organizer of several conferences around the world and several user groups in Chicago.

ABOUT PRESENTERS

Dean Wampler, Ph.D., is Vice President of Fast Data Engineering at Lightbend, Inc.

Dean Wampler is the Vice President of Fast Data Engineering at Lightbend, where he leads the creation of the Lightbend Fast Data Platform, a streaming data platform built on the Lightbend Reactive Platform, Kafka, Spark, Flink, and Mesosphere DC/OS. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects and he is the co-organizer of several conferences around the world and several user groups in Chicago.





Matt Aslett, Research Director for the Data Platforms and Analytics Channel at 451 Research.

Matt Aslett is a Research Director for the Data Platforms and Analytics Channel at 451 Research. Matt has overall responsibility for the data platforms and analytics research coverage, which includes operational and analytic databases, Hadoop, grid/cache, stream processing, search-based data platforms, data integration, data quality, data management, analytics, machine learning and advanced analytics. Matt's own primary area of focus includes data management, reporting and analytics, and exploring how the various data platforms and analytics technology sectors are converging in the form of next-generation data platforms.

About Lightbend

Lightbend (@Lightbend) is leading the enterprise transformation toward real-time, cloud-native applications. Lightbend provides scalable, high-performance microservices frameworks and streaming engines for building data-centric systems that are optimized to run on cloud-native infrastructure like Kubernetes. The most admired brands around the globe are transforming their businesses with Lightbend, engaging billions of users every day through software that is changing the world. For more information, visit www.lightbend.com