WEBINAR REPLAY 

A Tale of Two APIs: Using Spark Streaming In Production

With Gerard Maas, Senior Engineer at Lightbend, Inc.

About This Webinar

Fast Data architectures are the answer to the increasing need for the enterprise to process and analyze continuous streams of data to accelerate decision making and become reactive to the particular characteristics of their market.

Apache Spark is a popular framework for data analytics. Its capabilities include SQL-based analytics, dataflow processing, graph analytics and a rich library of built-in machine learning algorithms. These libraries can be combined to address a wide range of requirements for large-scale data analytics.

To address Fast Data flows, Spark offers two API's: The mature Spark Streaming and its younger sibling, Structured Streaming. In this talk, we are going to introduce both APIs. Using practical examples, you will get a taste of each one and obtain guidance on how to choose the right one for your application.



WEBINAR REPLAY 

A Tale of Two APIs: Using Spark Streaming In Production

With Gerard Maas, Senior Engineer at Lightbend, Inc. and

About This Webinar

Fast Data architectures are the answer to the increasing need for the enterprise to process and analyze continuous streams of data to accelerate decision making and become reactive to the particular characteristics of their market.

Apache Spark is a popular framework for data analytics. Its capabilities include SQL-based analytics, dataflow processing, graph analytics and a rich library of built-in machine learning algorithms. These libraries can be combined to address a wide range of requirements for large-scale data analytics.

To address Fast Data flows, Spark offers two API's: The mature Spark Streaming and its younger sibling, Structured Streaming. In this talk, we are going to introduce both APIs. Using practical examples, you will get a taste of each one and obtain guidance on how to choose the right one for your application.



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About Presenter

Gerard Maas, Senior Engineer at Lightbend, Inc.

Gerard Maas contributes to Lightbend Fast Data Platform as a SW Engineer, where he focuses on the integration of stream processing technologies. Previously, he has held leading roles at several startups and large enterprises, building data science governance, cloud-native IoT platforms and scalable APIs. He enjoys giving tech talks, contributing to small and large open source projects, tinkering with drones and building personal IoT projects. He is co-author of the Learning Spark Streaming book, from O’Reilly Media.

About Presenters

Gerard Maas, Senior Engineer at Lightbend, Inc.

Gerard Maas contributes to Lightbend Fast Data Platform as a SW Engineer, where he focuses on the integration of stream processing technologies. Previously, he has held leading roles at several startups and large enterprises, building data science governance, cloud-native IoT platforms and scalable APIs. He enjoys giving tech talks, contributing to small and large open source projects, tinkering with drones and building personal IoT projects. He is co-author of the Learning Spark Streaming book, from O’Reilly Media.

About Lightbend

Lightbend (Twitter: @Lightbend) provides the leading Reactive application development platform for building distributed systems. Based on a message-driven runtime, these distributed systems, which include microservices and streaming fast data applications, can effortlessly scale on multi-core and cloud architectures. Many of the most admired brands around the globe are transforming their businesses with our platform, engaging billions of users every day through software that is changing the world. For more information on Lightbend, visit: lightbend.com