Eventador Consulting Services for Apache Flink

We’re taking our hands-on approach to managing customers’ Apache Flink and Kafka implementations a step further by offering consulting services to help organizations build, scale, and optimize their streaming systems.

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Introducing Materialized Views on Data Streams with the Eventador Platform 2.0

The release of the Eventador Platform v2.0 introduces a significant new capability – the creation of materialized views against streams of data. This new capability closes the gap between streaming platforms and applications.

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What is Continuous SQL? Stream Processing with Continuous SQL Explained.

It has become clear that streaming or real-time data has more value than data at rest. Continuous SQL enables organizations to deliver on the promise of, and handle the pressures of, streaming data.

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Top 3 Reasons Why Kafka + SQL is an Amazing Combination

The combination of Kafka and SQL can be a game-changer for your business. It simplifies streaming deployments, accelerates streaming app time-to-market, and helps you to unlock increased value from your Kafka deployment.

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Normalizing JSON Data in Kafka Topics? SQLStreamBuilder Input Transforms to the Rescue

Input filters allow you to write a javascript function that operates on each message after it’s consumed from Kafka (or any other source) but before you write SQL against it.

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Joining Kafka Streams Using SQL to Enrich and Route Data

Joins are an important and powerful part of the SQL language. You can perform joins in SQLStreamBuilder to enrich data and create net new streams of useful data.

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SQLStreamBuilder October Feature Update

Our mission has remained clear—to build the best way to create, manage stream processing jobs using SQL, so you can work with your Kafka clusters, databases, and processing logic like the databases you know.

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SQLStreamBuilder Feature Update

I thought I would share a couple of improvements and features we recently added to SQLStreamBuilder. If you aren’t familiar, SQLStreamBuilder allows you to run Streaming SQL jobs against streams of data—initially on Kafka.

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A 2018 Year In Review: Massive Growth And Exciting Moves

With 2018 wrapping up, I wanted to talk a bit about this last year. This year, and the massive growth we’ve enjoyed, has been a rollercoaster of the best kind for the entire team.

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The New System Of Record

The defacto system-of-record for the enterprise is moving to a distributed log architecture, and the movement is well underway.

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$3.8MM Funding To Fuel Innovation And Growth

Eventador announces $3.8MM seed round (including conversion of $1.3MM angel round) led by LiveOak Venture Partners.

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The Eventador Stream Processing Stack

Eventador allows you to quickly build and manage modern streaming data workflows on top of these state of the art platforms – Kafka and Flink.

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Kafka SASL Authentication

Core support for Simple Authentication and Security Layer (SASL) was added to Apache Kafka in the 0.10.2 release. We are excited to add this authentication mechanism to the Eventador service. Here is how it works.

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From Zero To Stream Processing

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.

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