Learn how The New York Times stores every piece of content ever published throughout the past 166 years in Apache Kafka.
In this interactive discussion, the KSQL team will answer 10 of the toughest, most frequently asked questions about KSQL. These range from technical examples of managing streaming topics to practical applications and common use cases, such as market basket pattern identification and network monitoring patterns.
WatchDans ce wébinaire présenté par Confluent et Attunity, découvrez comment le streaming de données peut être accéléré afin de permettre des analyses en temps réel avec des données en direct provenant de nombreuses sources.
WatchIm gemeinsamen Online Talk von Confluent und Attunity zeigen wir, wie die Bereitstellung von Daten beschleunigt werden kann, um Echtzeitanalysen mit Live-Daten aus vielen Quellen zu ermöglichen.
WatchDank Apache Kafka können Unternehmen Echtzeitdaten optimal nutzen. Im Webinar erfahrt ihr mehr über Daten-Streaming und wie es Entwicklungskosten reduzieren kann.
WatchIn this talk, members of the Pinterest team offer lessons learned from their Confluent Go client migration and discuss their use cases for adopting Kafka Streams.
Watch NowIn this session, Nick Dearden covers the planning and operation of your KSQL deployment, including under-the-hood architectural details. You will learn about the various deployment models, how to track and monitor your KSQL applications, how to scale in and out and how to think about capacity planning.
This is part 3 out of 3 in the Empowering Streams through KSQL series.
Watch NowJoin us as we build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Look out for advice on best practices and handy tips and tricks as we go.
This is part 2 out of 3 in the Empowering Streams through KSQL series.
Watch NowThis session covers the patterns and techniques of using KSQL. Tim Berglund discusses the various building blocks that you can use in your own applications, starting with the language syntax itself and covering how and when to use its powerful capabilities like a pro.
This is part 1 out of 3 in the Empowering Streams through KSQL series.
Watch NowIn this presentation, we discuss best practices of monitoring Apache Kafka®. We look at which metrics are critical to alert on, which are useful in troubleshooting and what may actually be misleading. We review a few “worst practices” - common mistakes that you should avoid. We then look at what metrics don’t tell you - and how to cover those essential gaps.
This is part 5 out of 5 in the Best Practices for Apache Kafka in Production Confluent Online Talk Series.
Watch NowIn this session, we discuss disaster scenarios that can take down entire Apache Kafka® clusters and share advice on how to plan, prepare and handle these events. This is a technical session full of best practices - we want to make sure you are ready to handle the worst mayhem that nature and auditors can cause.
This is part 4 out of 5 in the Best Practices for Apache Kafka in Production Confluent Online Talk Series.
Watch NowIn this short session, we discuss the basic patterns of multi-datacenter Apache Kafka® architectures, explore some of the use cases enabled by each architecture and show how Confluent Enterprise products make these patterns easy to implement.
This is part 3 out of 5 in the Best Practices for Apache Kafka in Production Confluent Online Talk Series.
Watch NowIn this session, we go over everything that happens to a message – from producer to consumer, and pinpoint all the places where data can be lost. You will learn how developers and operation teams can work together to build a bulletproof data pipeline with Apache Kafka.
This is part 2 out of 5 in the Best Practices for Apache Kafka in Production Confluent Online Talk Series.
Watch NowIn this talk, Gwen Shapira describes the reference architecture of Confluent Enterprise, which is the most complete platform to build enterprise-scale streaming pipelines using Apache Kafka®. This talk is intended for data architects and system administrators planning to deploy Apache Kafka in production.
This is part 1 out of 5 in the Best Practices for Apache Kafka in Production Confluent Online Talk Series.
Watch NowLearn about the KSQL architecture and how to design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
Watch NowJoin the discussion on the relationship between microservices and stream processing with Data-Intensive Apps author Martin Kleppmann, Confluent engineers Damian Guy and Ben Stopford, chaired by Jay Kreps, co-founder and CEO, Confluent.
Watch NowMicroservices guru Sam Newman, Buoyant CTO Oliver Gould and Apache Kafka® engineer Ben Stopford are joined by Jay Kreps, co-founder and CEO, Confluent for a Q&A session where they discuss and debate all things Microservices.
Watch NowLearn about the recent additions to Apache Kafka® to achieve exactly-once semantics (EoS) including support for idempotence and transactions in the Kafka clients. The main focus will be the specific semantics that Kafka distributed transactions enable and the underlying mechanics which allow them to scale efficiently.
Watch NowNeha Narkhede talks about the experience at LinkedIn moving from batch-oriented ETL to real-time streams using Apache Kafka and how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data. She covers some of the challenges of scaling Kafka to hundreds of billions of events per day at Linkedin, supporting thousands of engineers, etc.
Watch NowJoin us as we walk through an overview of this exciting new service from the experts in Kafka. Learn how to build robust, portable and lock-in free streaming applications using Confluent Cloud.
Watch NowHow small can a microservice be? This talk will look at how Stateful Stream Processing is used to build truly autonomous, often minuscule services. With the distributed guarantees of Exactly Once Processing, Event-Driven Services supported by Apache Kafka® become reliable, fast and nimble, blurring the line between business system and big data pipeline.
This is part 3 of 3 in the Apache Kafka for Microservices: A Confluent Online Talk Series.
Watch NowShould you use REST to sew services together? Is it better to use a richer, brokered protocol? This practical talk will dig into how we piece services together in event driven systems, how we we use a distributed log to create a central, persistent narrative and what benefits we reap from doing so.
This is part 2 of 3 in the Apache Kafka® for Microservices: A Confluent Online Talk Series.
Watch NowServices come with a problem: they’re not well suited to sharing data. This talk will examine the underlying dichotomy we all face as we piece such systems together--one that is not well served today. The solution lies in blending the old with the new and Apache Kafka® plays a central role.
This is part 1 of 3 in the Apache Kafka for Microservices: A Confluent Online Talk Series.
Watch NowThis 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 the 6-part Apache Kafka: Online Talk Series.
Watch NowIn 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 is part 5 of 6 in the Apache Kafka: Online Talk Series.
Watch NowLearn how to map practical data problems to stream processing and write applications that process streams of data at scale using Kafka Streams.
This is part 4 of 6 in the Apache Kafka: Online Talk Series.
Watch NowLearn different options for integrating systems and applications with Apache Kafka® and best practices for building large-scale data pipelines using Apache Kafka.
This is part 3 of 6 in the Apache Kafka: Online Talk Series.
Watch NowIn 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 is part 2 of 6 in the Apache Kafka: Online Talk Series.
Watch NowGet 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 is part 1 of 6 in the Apache Kafka: Online Talk Series.
Watch NowGet answers to: How you would use Apache 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 NowExperts from Confluent and Attunity share how you can: realize the value of streaming data ingest with Apache 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 NowLearn 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 NowExplore 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
