Since my initial post on the Flink table and SQL API there have been some massive and, frankly, awesome changes. Let’s go over the changes that Fink 1.6 brought to the table step-by-step.
The Eventador Blog
Insights into Streaming Data
and the Eventador platform
I’m fresh off the plane from two back to back weeks in San Francisco – starting with the Kafka Summit 2018 and finishing up with Oracle OpenWorld. Two drastically different conferences, but they both reinforce our thinking and continue to bolster our opinion: The defacto system-of-record for the enterprise is moving to a distributed log […]
As I’ve come on board at Eventador and gotten ramped up, one particular subject that stood out immediately as crucial to us and that we talk about in-depth, is the reality of our fully managed support.
Eventador announces $3.8MM seed round (including conversion of $1.3MM angel round) led by LiveOak Venture Partners.
Streaming data is everywhere. IoT, high tech manufacturing, national security, smart cities, web log analysis, systems telemetry, AI and ML workflows, and a myriad of other modern use cases are driving this trend skyward.
Core support for Simple Authentication and Security Layer (SASL) was added to Apache Kafka in the 0.10.2 release. This allows for simple username/password authentication to Kafka using SASL. We are excited to add this authentication mechanism to the Eventador service. Here is how it works.
While Twitter and WordCount are probably two of the most common ways to get started with streaming data, there’s good reason (for Twitter at least) – it’s a fun way to work on actual real-time, unbounded streams of interesting data. In this post, I’m going to explore some techniques to normalize, window, and introspect the […]
With the release of Apache Flink 1.6, we’ve written an updated post on using the Flink Table and SQL APIs with more current steps and tutorials.
Early this week I gave a talk at the Austin Kafka/Stream Processing Meetup. It was a great time and we had a fantastic turnout. I wanted to share the slides, examples, and a couple of thoughts on the Meetup itself.
When we started Eventador.io in 2016 we needed a simple data source to help us build the platform on. We needed something that exemplified streaming data, something massively dynamic, and something with a lot of data. Tweets were played out, we wanted something better.
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https://eventador.io/blog/page/2/
https://eventador.io/blog/
