Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Applications, development, deployment, and theory are all key pieces behind customer experience, event streaming, and improving systems and integration. James Urquhart (Global Field CTO, VMware) is writing a book combining Wardley Mapping and Promise Theory to evaluate the future of event streaming and how it will become a more economic choice for users. James argues that reducing the cost of integration does not deter people from buying but instead encourages creativity to find more us...

Jaksot(285)

Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Processing data in real time is a process, as some might say. Angela Chu (Solution Architect, Databricks) and Caio Moreno (Senior Cloud Solution Architect, Microsoft) explain how to integrate Azure, D...

31 Maalis 202130min

Smooth Scaling and Uninterrupted Processing with Apache Kafka ft. Sophie Blee-Goldman

Smooth Scaling and Uninterrupted Processing with Apache Kafka ft. Sophie Blee-Goldman

Availability in Kafka Streams is hard, especially in the face of any changes. Any change to topic metadata or group membership triggers a rebalance. But Kafka Streams struggles even after this stop-th...

24 Maalis 202150min

Event-Driven Architecture - Common Mistakes and Valuable Lessons ft. Simon Aubury

Event-Driven Architecture - Common Mistakes and Valuable Lessons ft. Simon Aubury

Event-driven architecture has taken on numerous meanings over the years—from event notification to event-carried state transfer, to event sourcing, and CQRS. Why has event-driven programming become so...

17 Maalis 202142min

The Human Side of Apache Kafka and Microservices ft. SPOUD

The Human Side of Apache Kafka and Microservices ft. SPOUD

Many industries depend on real-time data, requiring a range of solutions that Apache Kafka® can help solve. Samuel Benz (CTO) and Patrick Bönzli (Product Owner) explain how their company, SPOUD, has f...

8 Maalis 202145min

Gamified Fitness at Synthesis Software Technologies Using Apache Kafka and IoT

Gamified Fitness at Synthesis Software Technologies Using Apache Kafka and IoT

Synthesis Software Technologies, a Confluent partner, is migrating an existing behavioral IoT framework into Kafka to streamline and normalize vendor information. The legacy messaging technology that ...

3 Maalis 202133min

Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski

Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski

When it comes to adopting event-driven architectures, a couple of key considerations often arise: the way that an asynchronous core interacts with external synchronous systems and the question of “how...

22 Helmi 202148min

Integrating Spring Boot with Apache Kafka ft. Viktor Gamov

Integrating Spring Boot with Apache Kafka ft. Viktor Gamov

Viktor Gamov (Developer Advocate, Confluent) joins Tim Berglund on this episode to talk all about Spring and Apache Kafka®. Viktor’s main focus lately has been helping developers build their apps with...

17 Helmi 202145min

Confluent Platform 6.1 | What’s New in This Release + Updates

Confluent Platform 6.1 | What’s New in This Release + Updates

Confluent Platform 6.1 further simplifies management tasks for Apache Kafka® operators. Based on Apache Kafka 2.7, this release provides even higher availability for enterprises who are using Kafka as...

10 Helmi 20219min

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