Ververica Blog

Apache Flink, stream processing, event-driven applications, and more.

Years in Big Data. Months with Apache Flink. 5 Early Observations With Stream Processing

November 14, 2018

This Fall I became more active with the Apache Flink community in my role as Technical Evangelist at data Artisans, after almost 8 years in Big Data. At October’s Bay Area Flink Meetup, I discussed my impressions of Flink from the point of view...

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An introduction to ACID guarantees and transaction processing

October 09, 2018

Last month we introduced data Artisans Streaming Ledger, our new technology that brings serializable, distributed ACID transactions directly on data streams. In this blog post, we take a step back to introduce ACID semantics and transaction...

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Serializable ACID Transactions on Streaming Data

September 04, 2018

We are excited to announce the general availability of data Artisans Streaming Ledger, an exciting new technology that brings serializable ACID transactions to applications built on a streaming architecture.

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How Kcell and GetInData built a stream analytics platform using Apache Flink® as a core component.

July 24, 2018

Telecommunications companies, such as Kcell, hold vast amounts of data at their disposal. Whether arriving from billing, data usage, roaming, or location events, being able to access and react instantly to these streams of data is paramount for...

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Streaming Data in the Enterprise Hits a Tipping Point: Our 2018 Predictions

January 26, 2018

On January 18, 2018 Information Management published an article that we contributed about some of our predictions for this year in the big data and analytics space.The key takeaway is that stream processing is maturing from technology, product,...

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Stream Processing Myths Debunked

November 23, 2016

By @kostas_tzoumas and @wints Needless to say, we here at data Artisans spend a lot of time thinking about stream processing. Even cooler: we spend a lot of time helping others think about stream processing and how to apply streaming to data...

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How Apache Flink™ Enables New Streaming Applications, Part 3

April 27, 2016

This blog post is the third part of our series on how Apache Flink™ enables new stream processing applications. The first post introduced event time and out of order processing, the second post covered versioning application state, and this post...

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Counting in streams: A hierarchy of needs

April 12, 2016

This post is based on the talk I gave at the Strata/Hadoop World conference in San Jose, March 31 2016. You can find the slide set here, and you can also read this article at the MapR blog.

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Introducing Complex Event Processing (CEP) with Apache Flink™

April 06, 2016

In this blog post, we introduce Flink's new CEP library that allows you to do pattern matching on event streams. Through the example of monitoring a data center and generating alerts, we showcase the library's ease of use and its intuitive Pattern...

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How Apache Flink™ Enables New Streaming Applications, Part 2

February 03, 2016

This is the second blog post in our series on how Flink enables new streaming applications. Part 1 introduced event time and out of order processing.

This post is about versioning application state and was followed by a post about sessions and...

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