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 infrastructure and being on the first team at a financial organization to implement Apache Kafka® event-driven data pipelines, Danica Fine (Senior Developer Advocate, Confluent) shares about the development process and how ksqlDB and Kafka Connect became instrumental to the implementation. By moving awa...

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5 Years of Event Streaming and Counting ft. Gwen Shapira, Ben Stopford, and Michael Noll

5 Years of Event Streaming and Counting ft. Gwen Shapira, Ben Stopford, and Michael Noll

With the explosion of real-time data, Apache Kafka and event stream processing (ESP) have grown in proliferation, with event streaming technology becoming the de facto technology transforming business...

31 Elo 202048min

Championing Serverless Eventing at Google Cloud ft. Jay Smith

Championing Serverless Eventing at Google Cloud ft. Jay Smith

Jay Smith helps Google Cloud users modernize their applications with serverless eventing. This helps them focus on their code instead of managing infrastructure, as well as ultra-fast deployments and ...

26 Elo 202047min

Disaster Recovery with Multi-Region Clusters in Confluent Platform ft. Anna McDonald and Mitch Henderson

Disaster Recovery with Multi-Region Clusters in Confluent Platform ft. Anna McDonald and Mitch Henderson

Multi-Region Clusters improve high availability in Apache Kafka®, ensure cluster replication across multiple zones, and help with disaster recovery. Making sure users are successful in every area of ...

17 Elo 202043min

Developer Advocacy (and Kafka Summit) in the Pandemic Era

Developer Advocacy (and Kafka Summit) in the Pandemic Era

All Confluent developer advocates...assemble! COVID-19 has changed the face of meetings and events, halting all in-person gatherings and forcing companies to adapt on the fly. In today's episode of St...

12 Elo 202041min

Apache Kafka 2.6 - Overview of Latest Features, Updates, and KIPs

Apache Kafka 2.6 - Overview of Latest Features, Updates, and KIPs

Apache Kafka® 2.6 is out! This release includes progress toward removing ZooKeeper dependency, adding client quota APIs to the admin client, and exposing disk read and write metrics, and support for J...

6 Elo 202010min

Testing ksqlDB Applications ft. Viktor Gamov

Testing ksqlDB Applications ft. Viktor Gamov

Viktor Gamov (Developer Advocate, Confluent) returns to Streaming Audio to explain the magic of ksqlDB, ideal testing environments for ksqlDB, and the ksqlDB test runner. For those who are just starti...

3 Elo 202039min

How to Measure the Business Value of Confluent Cloud ft. Lyndon Hedderly

How to Measure the Business Value of Confluent Cloud ft. Lyndon Hedderly

As developers, we are good at envisioning the future state of any given system we want to build, but are we as good at telling the business how those changes positively impact the bottom line? Lyndon...

27 Heinä 202054min

Modernizing Inventory Management Technology ft. Sina Sojoodi and Rohit Kelapure

Modernizing Inventory Management Technology ft. Sina Sojoodi and Rohit Kelapure

Inventory management systems are crucial for reducing real-time inventory data drift, improving customer experience, and minimizing out-of-stock events. Apache Kafka®’s real-time data technology provi...

20 Heinä 202041min

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