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 Technical Producer Marketing Manager, Qlik) explain how leveraging change data capture (CDC) for data ingestion into Kafka enables real-time data-driven insights. It can be challenging to ingest data in real time. It is even more challenging when you have multiple data sources, including both tradi...

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Consistent, Complete Distributed Stream Processing ft. Guozhang Wang

Consistent, Complete Distributed Stream Processing ft. Guozhang Wang

Stream processing has become an important part of the big data landscape as a new programming paradigm to implement real-time data-driven applications. One of the biggest challenges for streaming syst...

22 Juli 202129min

Powering Real-Time Analytics with Apache Kafka and Rockset

Powering Real-Time Analytics with Apache Kafka and Rockset

Using large amounts of streaming data increasingly requires interactive, real-time analytics and dashboards—and this applies to any industry, including tech. CTO and Co-Founder of Rockset Dhruba Borth...

15 Juli 202125min

Automated Event-Driven Architectures and Microservices with Apache Kafka and SmartBear

Automated Event-Driven Architectures and Microservices with Apache Kafka and SmartBear

Is it possible to have automated adoption of your event-driven architectures and microservices? The answer is yes! Alianna Inzana, product leader for API testing and virtualization at SmartBear, uses ...

8 Juli 202129min

Data-Driven Digitalization with Apache Kafka in the Food Industry at BAADER

Data-Driven Digitalization with Apache Kafka in the Food Industry at BAADER

Coming out of university, Patrick Neff (Data Scientist, BAADER) was used to “perfect” examples of datasets. However, he soon realized that in the real world, data is often either unavailable or unstru...

29 Juni 202127min

Chaos Engineering with Apache Kafka and Gremlin

Chaos Engineering with Apache Kafka and Gremlin

The most secure clusters aren’t built on the hopes that they’ll never break. They are the clusters that are broken on purpose and with a specific goal. When organizations want to avoid systematic weak...

22 Juni 202135min

Boosting Security for Apache Kafka with Confluent Cloud Private Link ft. Dan LaMotte

Boosting Security for Apache Kafka with Confluent Cloud Private Link ft. Dan LaMotte

Confluent Cloud isn’t just for public access anymore. As the requirement for security across sectors increases, so does the need for virtual private cloud (VPC) connections. It is becoming more common...

15 Juni 202125min

Confluent Platform 6.2 | What’s New in This Release + Updates

Confluent Platform 6.2 | What’s New in This Release + Updates

Based on Apache Kafka® 2.8, Confluent Platform 6.2 introduces Health+, which offers intelligent alerting, cloud-based monitoring tools, and accelerated support so that you can get notified of potentia...

10 Juni 20219min

Adopting OpenTelemetry in Confluent and Beyond ft. Xavier Léauté

Adopting OpenTelemetry in Confluent and Beyond ft. Xavier Léauté

Collecting internal, operational telemetry from Confluent Cloud services and thousands of clusters is no small feat. Stakeholders need to rely on the same data to make operational decisions. Whether i...

8 Juni 202132min

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