Learn key considerations in building a scalable platform
for real-time stream data processing, with Apache Kafka at its core.
This talk focuses on how to integrate all the components of the Apache Kafka ecosystem into an enterprise environment and what you need to consider as you move into production.
This concluded our 6-part Apache Kafka: Online Talk SeriesWatch Now
Join experts from Confluent, Attunity, and Capgemini to learn how you can unlock your mainframe data with unique change data capture (CDC) functionality, deliver ongoing streams of data in real-time to the most demanding analytics environments, and identify use cases that can help you get started delivering value to the business moving from POC to Pilot to ProductionWatch Now
In this talk, we survey the stream processing landscape, the dimensions along which to evaluate stream processing technologies, and how they integrate with Apache Kafka.
This was part 5 of our 6-part Apache Kafka: Online Talk SeriesWatch Now
Get an introduction to Apache Kafka and how it serves as a foundation for streaming data pipelines and applications that consume/process real-time data streams.
This talk kicked off our 6-part Apache Kafka: Online Talk SeriesWatch Now
Learn how to map practical data problems to stream processing and write applications that process streams of data at scale using Kafka Streams.
This was part 4 of our 6-part Apache Kafka: Online Talk SeriesWatch Now
Learn different options for integrating systems and applications with Apache Kafka and best practices for building large-scale data pipelines using Apache Kafka.
This was part 3 of our 6-part Apache Kafka: Online Talk SeriesWatch Now
In this talk by Jun Rao, co-creator of Apache Kafka, get a deep dive on some of the key internals that makes Apache Kafka popular, including how it delivers reliability and compaction.
This was part 2 of our 6-part Apache Kafka: Online Talk SeriesWatch Now
Get details on what’s new in Confluent Platform 3.1 to help simplify running enterprise-ready Apache Kafka in production at scale, and increase the performance and reliability of your Kafka environment.
Get answers to: How you would use Kafka in a micro-service application? How do you build services over a distributed log and leverage the fault tolerance and scalability that comes with it? When should you use these tools and when should you not? And where does stream processing fit in?Watch Now
Experts from Confluent and Attunity share how you can: realize the value of streaming data ingest with Kafka, turn databases into live feeds for streaming ingest and processing, accelerate data delivery to enable real-time analytics, and reduce skill and training requirements for data ingest.Watch Now
Watch this recording to learn typical use cases for Apache Kafka, how you can get real-time data streaming from Oracle databases to move transactional data to Kafka, and enable continuous movement of your data to provide access to real-time analytics.Watch Now
Explore the use-cases and architecture for Apache Kafka, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.Watch Now
In this video recording, get an understand of how leading enterprises are securing their streaming data. Learn the basics of Kafka ACL authentication and security, policy-driven encryption practices for data-at-rest, and the necessary steps to configure your streaming platform securely.Watch Now