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, Databricks, and Confluent to build real-time data pipelines that enable you to ingest data, perform analytics, and extract insights from data at hand. They share about where to start within the Apache Kafka® ecosystem and how to maximize the tools and components that it offers using fully managed ...

Jaksot(285)

Intro to Event Sourcing with Apache Kafka ft. Anna McDonald

Intro to Event Sourcing with Apache Kafka ft. Anna McDonald

What is event sourcing and how does it work? Event sourcing is often used interchangeably with event-driven architecture and event stream processing. However, Anna McDonald (Principal Customer Success...

1 Helmi 202230min

Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela

Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela

In an effort to make Apache Kafka® cloud native, Anna Povzener (Principal Engineer, Confluent) and Anastasia Vela (Software Engineer I, Confluent) have been working to expand multi-tenancy to cloud-na...

27 Tammi 202231min

Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs

Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs

Apache Kafka® 3.1 is here with exciting new features and improvements! On behalf of the Kafka community, Danica Fine (Senior Developer Advocate, Confluent) shares release highlights that you won’t wan...

24 Tammi 20224min

Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

Maximizing cloud Apache Kafka® performance isn’t just about running data processes on cloud instances. There is a lot of engineering work required to set and maintain a high-performance standard for s...

20 Tammi 202230min

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 Tammi 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 Tammi 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 Joulu 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 Joulu 202131min

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