SAN JOSE, CA — (Marketwired) — 03/29/16 — , founded by the creators of Apache Kafka, today announced the launch of Confluent University and the availability of the program–s first two public Kafka training courses. The first events will be held in San Francisco following the inaugural , with subsequent classes to be offered in New York City, San Francisco, Redwood City, and other venues around the country.
The first two hands-on courses offered are:
: This three-day developer training course is designed for applications developers, ETL developers, and data scientists who need to interact with Kafka as the source of, or destination for, their data.
: This two-day operations training course is designed for Operators and System Administrators who need to understand how Kafka works, and how to install, manage, and monitor Kafka clusters.
Confluent is also offering a half-day tutorial, Introduction to Apache Kafka, designed for those new to Kafka, on April 25 at the Hilton San Francisco Union Square as a prelude to Kafka Summit. To register, please visit: .
Created by the team that originally developed, built, and open sourced Kafka, Confluent University courses are designed by the world–s leading experts to reach developers, operators, and administrators interested in learning how to leverage the popular stream processing platform within their own organizations.
“We have been offering private, on-site courses to customers for months, and the launch of Confluent University is a response to surging enterprise demand for high-end, professional Kafka training,” said Ian Wrigley, director of education services at Confluent. “With the launch of this program, Confluent is the only provider of live, in-person, Kafka-focused training courses.”
A wildly popular open source system for managing real-time streams of data from websites, applications, and sensors, Kafka is now being used as fundamental infrastructure by thousands of companies including Goldman Sachs, Netflix, Uber, and Walmart.
“With Kafka, developers have the power to take every event happening within their organization and make it available as a real-time stream of well-structured data,” said Neha Narkhede, co-founder and CTO of Confluent, and one of the creators of Apache Kafka. “Demand for Kafka engineers is soaring, and we anticipate these training courses will sell out as quickly as we add them.”
Open to anyone, Confluent University training courses will initially be available in the U.S., but will soon expand to other countries. For more information, please visit .
Apache Kafka is an open source technology that acts as a real-time, fault tolerant, highly scalable messaging system. It is widely adopted for use cases ranging from collecting user activity data, logs, application metrics, stock ticker data and device instrumentation. Its key strength is its ability to make high volume data available as a real-time stream for consumption in systems with very different requirements — from batch systems like Hadoop, to real-time systems that require low-latency access, to stream processing engines that transform the data streams as they arrive. This infrastructure lets you build around a single central nervous system transmitting messages to all the different systems and applications within a company.
Confluent, founded by the creators of Apache Kafka, enables organizations to harness business value from stream data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. Backed by Benchmark, Data Collective, Index Ventures and LinkedIn, Confluent is based in Palo Alto. To learn more, please visit . Download Apache Kafka and Confluent Platform at .
Jill Reed or Pete Johnson
Highwire PR for Confluent
(415) 963-4174, ext. 5
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