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...

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From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine

From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine

Implementing an event-driven data pipeline can be challenging, but doing so within the context of a legacy architecture is even more complex. Having spent three years building a streaming data infrast...

13 Jan 202229min

Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik

Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik

Getting data from a database management system (DBMS) into Apache Kafka® in real time is a subject of ongoing innovation. John Neal (Principal Solution Architect, Qlik) and Adam Mayer (Senior Technica...

6 Jan 202234min

Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris

Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris

It’s been said that financial services organizations have been early Apache Kafka® adopters due to the strong delivery guarantees and scalability that Kafka provides. With experience working and desig...

28 Dec 202134min

Running Hundreds of Stream Processing Applications with Apache Kafka at Wise

Running Hundreds of Stream Processing Applications with Apache Kafka at Wise

What’s it like building a stream processing platform with around 300 stateful stream processing applications based on Kafka Streams? Levani Kokhreidze (Principal Engineer, Wise) shares his experience ...

21 Dec 202131min

Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

You might call building and operating Apache Kafka® as a cloud-native data service synonymous with a serverless experience. Prachetaa Raghavan (Staff Software Developer I, Confluent) spends his days f...

14 Dec 202128min

Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

What does cloud native mean, and what are some design considerations when implementing cloud-native data services? Gwen Shapira (Apache Kafka® Committer and Principal Engineer II, Confluent) addresses...

7 Dec 202133min

ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

What is ksqlDB and how does Simon Aubury (Principal Data Engineer, Thoughtworks) use it to track down the plane that wakes his cat Snowy in the morning? Experienced in building real-time applications ...

1 Dec 202130min

Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

Many of us find ourselves in the position of equipping others to use Apache Kafka® after we’ve gained an understanding of what Kafka is used for. But how do you communicate and teach others event stre...

23 Nov 202129min

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