Oliver White

Chief Storyteller
December 10, 2018

Hands On With Spark: Creating A Fast Data Pipeline With Structured Streaming And Spark Streaming

In this talk by Gerard Maas, O’Reilly author and Senior Software Engineer at Lightbend, we focus on choosing the right Fast Data stream processing features of Apache Spark, taking a practical, code-driven look at the two APIs available for this: the mature Spark Streaming and its younger sibling, Structured Streaming.

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Ashley Nuqui

ABM Field Marketing Manager
November 12, 2018

Where Fast Data & Microservices Converge: 75% of Developers Use Microservices For Real-time Streaming Apps

In a recent survey, 75% of over 2400 developers revealed that they are already using (or planning to use) microservices to enable real-time streaming use cases, showing that a key characteristic of Fast Data architectures is the use of microservices for streaming functionality...

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Oliver White

Chief Storyteller
September 14, 2018

Free O'Reilly eBook: "Designing Fast Data Application Architectures" With The SMACK Stack

You’re probably heard of the “SMACK Stack”, but you may not know that three Lightbend experts–Sean GloverStavros Kontopoulos, and Gerard Maas–that recently teamed up with O’Reilly Media on a free eBook about working with the SMACK stack for Fast Data applications (available in PDF, EPUB, and MOBI formats–or all 3 in a .zip folder)!

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September 26, 2017

The Need For Speed: Fast Data Development Trends 2017

Back in May 2017, we launched our annual charity survey that looked into the rapidly evolving Fast Data, Streaming, and IoT ecosystem. We're thrilled that we received over 2400 responses—reaching our goal of $5000 donated to charity—as well as the opportunity to deeply examine the responses of thousands of developers regarding fast data adoption trends across three key areas—business value, use case, and technology.

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April 13, 2017

O'Reilly Interview: Your Future With Streaming And Fast Data Systems, Explained (11 Min)

In this interview by O'Reilly Media, Lightbend's Duncan DeVore draws over 10 years of experience building Reactive systems to review the basics of what Fast Data is, how to address of design challenges for architects and developers, and discuss the importance of having a Reactive foundation for the next generation of streaming and Fast Data systems.

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September 26, 2016

Introducing Lightbend Fast Data Platform: A Guided Way To Manage Data In Motion For Streaming Applications

Companies are moving from systems designed for data "at rest" in data warehouses and embracing the value of data "in motion" at the edge–whether from user data, sensors or humans. Extracting information from incoming data as quickly as possible has become a competitive advantage. Stream processing is the best option and it has sparked new tools, frameworks, and architecture patterns for developers creating applications and systems designed specifically for real-time data. 

I sat down with Dr. Dean Wampler, Office of the CTO and Big Data Architect at Lightbend, we discuss how streaming data is shaking things up, and how the upcoming Lightbend Fast Data Platform is bringing Fast Data to enterprises looking to modernize today.

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September 9, 2016

Fast Data Architectures For Streaming Applications: free O'Reilly report by Dean Wampler

We are happy to announce the availability of Fast Data Architectures For Streaming Applications, a new O'Reilly report authored by the architect for fast data products at Lightbend, Dean Wampler (@deanwampler). In this report he examines the rise of streaming systems for handling time-sensitive problems —like detecting fraudulent financial activity as it happens. You’ll explore the characteristics of fast data architectures, along with several open source tools for implementing them.

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