Wissensvermittlung, Nachwuchsförderung und der fachliche Austausch auf Augenhöhe sind für uns Herzensangelegenheiten. Wir sind der Meinung: Geteilte Innovationsfreude ist doppelte Innovationsfreude.
Deshalb mischen sich codecentric-Mitarbeiter und -Mitarbeiterinnen gerne unter die Community – ob als Gastgeber, Redner oder Organisatoren diverser Veranstaltungen. Triff uns auf einem der folgenden Events!
Agenda: 6 pm: Get together 6.30 pm: Talk by Daniel Paulus, Lead Software Engineer at the Sauce Labs 7.00 pm: Q&A 7.30 – 9 pm: Networking, Catering About the talk: The most challenging aspect of running tests on a real ...
Join us for our next Berlin Apache Kafka meetup on April 25th from 6:00pm hosted by codecentric. We have two very special speakers who come all the way from the USA! The agenda, venue and speaker information can be found below. See you there!
6:00pm: Doors open
6:10pm – 6:55pm: KSQL — Streaming SQL for Apache Kafka – Matthias J. Sax, Confluent
6:55 pm – 7:35pm: Stream All Things – Patterns of Modern Data Integration – Gwen Shapira, Confluent
7:35 – 8:00 – Pizza, Drinks, Networking and additional Q&A
KSQL — Streaming SQL for Apache Kafka (Matthias J. Sax)
This talk is about KSQL, an open source streaming SQL engine for Apache Kafka. KSQL aims to make stream processing available to everybody without the need to write Java or Scala code. Streaming SQL makes it easy to get started with a wide-range of stream processing applications such as real-time ETL, sessionization, monitoring and alerting, or fraud detection. We will give a general introduction to KSQL covering its SQL dialect, core concepts, and architecture including some technical deep-dives how it works under the hood.
Stream All Things – Patterns of Modern Data Integration (Gwen Shapira)
80% of the time in every project is spent on data integration: Getting the data you want the way you want it. This problem remains challenging despite 40 years of attempts to solve it. We want a reliable, low latency system that can handle varied data from wide range of data management systems. We want a solution that is easy to manage and easy to scale. Is it too much to ask?
In this presentation, we’ll discuss the basic challenges of data integration and introduce design and architecture patterns that are used to tackle these challenges. We will explore how these patterns can be implemented using Apache Kafka and share pragmatic solutions that many engineering organizations used to build fast, scalable and manageable data pipelines.