Resources

This paper provides 10 principles for streaming services, a list of items to be mindful of when designing and building a microservices system

This survey focuses on why and how companies are using Apache Kafka and streaming data and the impact it has on their business.

The survey of the Apache Kafka community shows how and why companies are adopting streaming platforms to build event-driven architectures.

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^®. Part 5 in the Apache Kafka: Online Talk Series.

Learn about typical Apache Kafka use cases and how organisations can process large quantities of data in real time using the Kafka Streams API and KSQL.

Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale.

In this online talk, you’ll hear about ingesting your Kafka streams into Imply’s scalable analytic engine and gaining real-time insights via a modern user interface.

Alight Solutions, recently embarked on an initiative to align the company’s internal organization with its next-generation digital strategy.

There’s a prevailing enterprise perception that compliance with data protection regulations and standards is a burden: limiting the leverage of data.

Learn how CDC (Change Data Capture) captures database transactions for ingest into Confluent Platform to enable real-time data pipelines.

In this talk, we’ll review the breadth of Apache Kafka as a streaming data platform, including, its internal architecture and its approach to pub/sub messaging.

Operating a complex distributed system such as Apache Kafka could be a lot of work. In this talk we will review common issues, and mitigation strategies, seen from the trenches helping teams around the globe with their Kafka infrastructure.

Confluent Co-founder Jun Rao discusses how Apache Kafka^® became the predominant publish/subscribe messaging system that it is today, Kafka's most recent additions to its enterprise-level set of features and how to evolve your Kafka implementation into a complete real-time streaming data platform.

Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content while still maintaining searchability, accuracy and accessibility—all through the power of a real-time streaming platform.

Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content—all through the power of a real-time streaming platform.

In 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.

In this talk, members of the Pinterest team share details of their results, offer lessons learned from their Confluent Go client migration and discuss their use cases for adopting Kafka Streams.

This talk showcases different use cases in automation and Industrial IoT (IIoT) where an event streaming platform adds business value.

This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Part 2 of 4 in our Fundamentals for Apache Kafka series.

Spending time with many OEMs and suppliers as well as technology vendors in the IoT segment, Kai Waehner gives an overview on current challenges in the automotive industry and on a variety of use cases for event-driven architectures.

Michael Noll provides an introduction to stream processing, use cases, and Apache Kafka.

This online talk explores how Apache Druid and Apache Kafka® can turn a microservices ecosystem into a distributed real-time application with instant analytics.

This white paper reports the results of benchmarks we ran on a 2-CKU multi-zone dedicated cluster and shows the ability of a CKU to deliver the stated client bandwidth on AWS, GCP, and Azure clouds.

This talk explains how companies are using event-driven architecture to transform their business and how Apache Kafka serves as the foundation for streaming data applications. Part 1 of 4 in our Fundamentals for Apache Kafka series

In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.

In this online talk, Bosch’s Ralph Debusmann outlines their architectural vision for bringing many data streams into a single platform, surrounded by databases that can power complex real-time analytics.

Download this bridge-to-cloud deployment guide for designing, configuring and managing streaming applications in Confluent Cloud.

This session covers architectures best practises and recommendations for organisations aiming for a more cloud-centric approach in the use of Apache Kafka.

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka^® service, to migrate to AWS.

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka^® service, to migrate to GCP.

Confluent Cloud is an enterprise grade distributed streaming platform. Our fully managed Kafka as a service includes extra features that help businesses leverage real-time data streams and multi-cloud, event driven architecture without the burden of building your own toolset. In this white paper, we'll discuss how to build event streaming applications and best practices for configuring, tuning, and monitoring Kafka applications.

In this session, we will cover the easiest ways to start developing event-driven applications with Apache Kafka using Confluent Platform.

This practical talk will dig into how we piece services together in event driven systems, how we use a distributed log to create a central, persistent narrative and what benefits we reap from doing so. Part 2 in the Apache Kafka^® for Microservices: A Confluent Online Talk Series.

Microservices 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.

In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.

With its ViZixⓇ item chain management platform, Mojix is helping major retailers store, analyze and act on inventory data collected from IoT sensor streams in real time.

In this talk, we'll build a streaming data pipeline using nothing but our bare hands, the Kafka Connect API and KSQL.

Learn how Centene improved their ability to interact and engage with healthcare providers in real time with MongoDB and Confluent Platform.

Robin discusses the role of Apache Kafka as the de facto standard streaming data processing platforms.

Capital One supports interactions with real-time streaming transactional data using Apache Kafka^®. Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka.

Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka^®.

In this 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. Part 3 in the Best Practices for Apache Kafka in Production Series.

In this paper, we explore some of the fundamental concepts of Apache Kafka, the foundation of Confluent Platform, and compare it to traditional message-oriented middleware.

Learn about the impact of Confluent and Apache Kafka^® on Funding Circle’s lending marketplace, from Kafka Connect to Exactly-Once processing.

Confluent Cloud™ is a hosted and fully managed Apache Kafka^® as a service in the public cloud.

Hans Jespersen (VP WW Systems Engineering, Confluent) Opened afternoon presentations: Confluent Cloud: Agility for the modern data-driven enterprise at Confluent’s streaming event in Paris.

Rest assured your Confluent Cloud cluster and data are secured! Here's how.

In this three-day hands-on course you will learn how to build an application that can publish data to, and subscribe to data from, an Apache Kafka cluster.

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

In this three-day hands-on course, you will learn how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka experts.

En este webinar, descubre las nuevas características de la versión 5.4 de la plataforma Confluent así como sus aplicaciones y casos de uso reales.

An overview of the enterprise-ready event streaming platform.

The reference architecture provides a detailed architecture for deploying Confluent Platform on Kubernetes and uses the Helm Charts for Confluent Platform as a reference to illustrate configuration and deployment practices.

This reference architecture documents the MongoDB and Confluent integration including detailed tutorials for getting started with the integration, guidelines for deployment, and unique considerations to keep in mind when working with these two technologies.

This paper will guide developers who want to build an integration or connector and outlines the criteria used for Confluent to verify the integration.

Real-time data has value. But how do you quantify that value. This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.

In questo webinar approfondiremo KSQL con degli esempi in modalitá "live coding" e vedremo in pratica quanto è semplice creare e rilasciare in produzione applicazioni streaming.

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.

This viewpoint from analyst Ventana Research outlines the importance of streaming data and why it will be a standard component of enterprise information architectures.

Die Bereitstellung und der Betrieb eines verteilten und skalierbaren Datensystems kann eine Herausforderung darstellen. Im ersten Teil der Deep Dive Sessions werfen wir einen detaillierten Blick auf die Centralized ACLs und Role Based Access Control, inklusive einer Live-Demo im Confluent Control Center (C3).

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. Part 2 in the Apache Kafka: Online Talk Series.

Learn how to map practical data problems to stream processing and write applications that process streams of data at scale using Kafka Streams. Part 4 in the Apache Kafka: Online Talk Series.

This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.

In 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^®. Part 1 in the Best Practices for Apache Kafka in Production Series.

A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.

In this session, Nick Dearden covers the planning and operation of your KSQL deployment, including under-the-hood architectural details. Part 3 out of 3 in the Empowering Streams through KSQL series.

Erfahren Sie in diesem Online Talk von unserem Kafka-Experten wie leicht man Apache Kafka und Confluent Platform auf Kubernetes.

In this technical deep dive, we’ll discuss the proposition of Incremental Cooperative Rebalancing as a way to alleviate stop-the-world and optimize rebalancing in Kafka APIs.

Learn how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems.

Dans 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.

In 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. Part 4 in the Best Practices for Apache Kafka in Production Series.

A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.

Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.

In this talk, get a short introduction to common approaches and architectures (lambda, kappa) for streaming processing and learn how to use open-source steam processing tools (Flink, Kafka Streams, Hazelcast Jet) for stream processing.

This talk will cover how to integrate real-time analytics and visualizations to drive business processes and how KSQL, streaming SQL for Kafka, can easily transform and filter streams of data in real time.

Neha 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.

This brief describes how to enable operational data flows with NoSQL and Kafka, in partnership with Couchbase and Confluent.

Learn how AO.com are enabling real-time event-driven applications to improve customer experience using Confluent Platform.

Our Recommended Approach to Designing for “End-to-End Encryption” into Kafka Clients

This interactive whiteboard presentation discusses use cases leveraging the Apache Kafka® open source ecosystem as an event streaming platform to process IoT data.

This brief describes an end-to-end streaming analytics solution with Imply, Druid providing the data querying and visualizations and Kafka data streaming.

Watch Lyndon Hedderly's keynote from Big Data Analytics London 2018.

This brief describes a solution with Neo4js graph database and Confluent Platform.

In this online talk, we introduce Apache Kafka® and the MongoDB connector for Kafka, and demonstrate a real world stock trading use case that joins heterogeneous data sources to find the moving average of securities using Apache Kafka and MongoDB.

This brief describes a modern datacenter to manage the velocity and variety of data with an event driven enterprise architecture with DataStax and Confluentj

Get key research stats on why CIOs are turning to streaming data for a competitive advantage.

Tim Berglund covers the patterns and techniques of using KSQL. Part 1 of the Empowering Streams through KSQL series.

This online talk will showcase how Apache Kafka® plays a key role within Express Scripts’ transformation from mainframe to a microservices-based ecosystem, ensuring data integrity between two worlds.

Rabobank rose to this challenge and defined the Business Event Bus (BEB) as the place where business events from across the organization are shared between applications.

In this chat, we'll demo how to implement real-time clickstream analytics on Confluent Cloud, fully managed Apache Kafka as a service.

Attend this webinar featuring Dave Menninger of Ventana Research to learn from the firm’s benchmark research about what streaming data is and why it is important. Guest speaker Joanna Schloss will join to discuss how event streaming platforms deliver real time actionability on data as it arrives into the business.

Use cases for streaming platforms vary from improving the customer experience - we have synthesized some common themes of streaming maturity and have identified five stages of adoption

This talk discusses the key design concepts within Apache Kafka Connect and the pros and cons of standalone vs distributed deployment modes.

We explain how the microservice ecosystem around Apache Kafka was built to ensure the ability to build and deploy new streaming agents on AWS fast and with the least amount of operational effort possible, as well as some of the issues we found and worked around.

In this session, we'll compare the two approaches to data integration and show how Dataflow allows you to join and transform and deliver data streams among on-prem and cloud Apache Kafka clusters, Cloud Pub/Sub topics and a variety of databases.

The Confluent event-streaming platform enables government organizations to unlock and repurpose their existing data for countless modern applications and use cases.

This brief describes a solution for real-time data streaming with ScyllaDB's NoSQL database paired with Confluent Platform.

Damit agile Prozesse sowie Echtzeit-Entscheidungen möglich werden, ist eine Event-Streaming-Architektur zwingend erforderlich.

HomeAway, the world’s leading online marketplace for the vacation rental industry, uses Apache Kafka^® and Confluent to match travelers with 2 million+ unique places to stay in 190 countries.

Pick up best practices for developing applications that use Apache Kafka, beginning with a high level code overview for a basic producer and consumer.

With the evolution of data-driven strategies, event-based business models are influential in innovative organizations.

This online talk dives into the new Verified Integrations Program and the integration requirements, the Connect API and sources and sinks that use Kafka Connect. Part 2 of 2 in Building Kafka Connectors - The Why and How

This online talk is based on real-world experience of Kafka deployments and explores a collection of common mistakes that are made when running Kafka in production and some best practices to avoid them.

Jay Kreps, CEO of Confluent and co-creator of Apache Kafka, shows how logs work in distributed systems, and provides practical applications of these concepts.

En este webinar en castellano describiremos porqué y para qué existe Apache Kafka. Veremos algunos de los usos más habituales, y analizaremos los tres componentes básicos la plataforma.

This session will show you how to get streams of data into and out of Kafka with Kafka Connect and REST Proxy, maintain data formats and ensure compatibility with Schema Registry and Avro, and build real-time stream processing applications with Confluent KSQL and Kafka Streams.

This talk looks at one of the most common integration requirements – connecting databases to Apache Kafka.

Join experts from VoltDB and Confluent to see why and how enterprises are using Apache Kafka as the central nervous system in combination with VoltDB.

In this online talk, you will learn why, when facing Open Banking regulation and rapidly increasing transaction volumes, Nationwide decided to take load off their back-end systems through real-time streaming of data changes into Apache Kafka®.

Learn about the recent additions to Apache Kafka^® to achieve exactly-once semantics (EoS) including support for idempotence and transactions in the Kafka clients.

Join 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.

In this all too fabulous talk, we will be addressing the wonderful and new wonders of KSQL vs. KStreams and how Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products.

Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®. It provides an easy-to-use, yet powerful interactive SQL interface for stream processing on Kafka.

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. Part 1 in the Apache Kafka: Online Talk Series.

Kafka has a set of new features supporting idempotence and transactional writes that support building real-time applications with exactly-once semantics. This talk provides an overview of these features.

This video offers an introduction to Kafka stream processing, with a focus on KSQL.

Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.

Learn about the KSQL architecture and how to design and deploy interactive, continuous queries for streaming ETL and real-time analytics.

Dive into full Kafka examples, with connector configurations and Kafka Streams code, that demonstrate different data formats and SerDes combinations for building event streaming pipelines.

Get the presentations from the Kafka Summit London 2018 event.

Get the presentations from the Kafka Summit London 2019 event.

Get the presentations from the Kafka Summit New York 2019 event.

Get the presentations from the Kafka Summit NYC event.

Get the presentations from the Kafka Summit San Francisco 2016 event.

Get the presentations from the Kafka Summit San Francisco 2017 event.

Get the presentations from the Kafka Summit San Francisco 2018 event.

View the recordings and slides from Kafka Summit San Francisco, the premier event for those who want to learn about streaming data.

Originally presented by Gwen Shapira at Gluecon 2018, this talk covers the similarities and differences between the communication layer provided by a service mesh and Apache Kafka and their implementations, as well as ways you can combine them together.

In diesem Webinar stellen wir die neuen Security-Komponenten (Role Based Access Control -RBAC und Secret Protection) von Confluent Platform live vor und gehen auch auf die Best Practices in diesem Umfeld ein.

Learn how to take full advantage of Apache KafkaTM, the distributed, publish-subscribe queue for handling real-time data feeds.

This talk provides a deep dive into the details of the rebalance protocol, starting from its original design in version 0.9 up to the latest improvements and future work.

Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.

Confluent and Attunity provide seamless mainframe integration and query offload for modern, distributed analytics environments via Apache Kafka.

In this talk we will look at what event driven systems are; how they provide a unique contract for services to communicate and share data and how stream processing tools can be used to simplify the interaction between different services.

Join 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. Part 2 in the Empowering Streams through KSQL series.

Mainframe offloading with Apache Kafka and its ecosystem can be used to keep a more modern data store in real-time sync with the mainframe. At the same time, it is persisting the event data on the bus to enable microservices, and deliver the data to other systems such as data warehouses and search indexes.

In this book, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex.

What is microservices? And how does it work in the Apache Kafka ecosystem.

Join 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.

Get 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?

This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.

This talk explores the benefits around cloud-native platforms and running Apache Kafka on Kubernetes, what kinds of workloads are best suited for this combination, and best practices.

This brief describes a modern data architecture with Kafka and MongoDB

Learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®.

Industry 4.0 and smart manufacturing are driving the manufacturing industry to modernize their software infrastructure. This session will look at the unique business drivers for modernizing the manufacturing industry and how MQTT and Kafka can help make it a reality.

In this presentation, we discuss best practices of monitoring Apache Kafka^®. Part 5 of the Best Practices for Apache Kafka in Production series.

In this white paper, you will learn how you can monitor your Apache Kafka deployments like a pro, the 7 common questions you'll need to answer, what requirements to look for in a monitoring solution and key advantages of the Confluent Control Center.

This perspective from analyst Ventana Research outlines how organizations are modernizing their architectures to combine event streaming with historical context.

Modern streaming data technologies like Apache Kafka^® and Confluent KSQL, the streaming SQL engine for Apache Kafka, can help companies catch and detect fraud in real time instead of after the fact.

This talk takes an in-depth look at how Apache Kafka® can be used to provide a common platform on which to build data infrastructure driving both real-time analytics as well as event-driven applications.

In diesem Online Talk zeigen wir gibt eine kurze Einführung in Apache Kafka und die Verwendung als Daten-Streaming-Plattform.

En este seminario vamos a repasar las mejores prácticas para mantener vuestro Apache Kafka cluster saludable, revisaremos las situaciones más comunes que desembocan en problemas tales como tópicos inaccesibles o un cluster inestable.

This whitepaper discusses how to optimize your Apache Kafka deployment for various services goals including throughput, latency, durability and availability. It is intended for Kafka administrators and developers planning to deploy Kafka in production.

Joignez-vous à notre série de conférences en ligne en deux parties, accélérez les flux via KSQL pour plonger au coeur de cet outil. Nos experts vous expliqueront l’architecture du moteur KSQL et montreront comment concevoir et déployer des requêtes interactives et continues.

Joignez-vous à notre série de conférences en ligne en deux parties, accélérez les flux via KSQL pour plonger au coeur de cet outil. Nos experts vous expliqueront l’architecture du moteur KSQL et montreront comment concevoir et déployer des requêtes interactives et continues.

Best practices for developing a connector using Kafka Connect APIs.

This talk will look at how Stateful Stream Processing is used to build truly autonomous services. With the distributed guarantees of Exactly Once Processing, Event-Driven Services supported by Apache Kafka^®. Part 3 in the Apache Kafka for Microservices: A Confluent Online Talk Series.

Confluent Technology Evangelist Kai Waehner zeigt in diesem Online Talk die wichtigsten Änderungen in den Bereichen Sicherheit, Disaster Recovery und Skalierbarkeit.

One of the largest banks in the world—with 16 million clients globally—RBC built a real-time, scalable and event-driven data architecture for their rapidly growing number of cloud, machine learning and AI initiatives.

Businesses are discovering that they can create new business opportunities as well as make their existing operations more efficient using real-time data at scale. Learn how real-time data streams is revolutionizing your business.

Learn how Generali Switzerland set up an event-driven architecture to support their digital transformation project.

This brief describes a solution for data integration and replication in real time and continuously into Kafka, in partnership with HVR and Confluent.

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.

This brief describes a solution to stream data from over 40 sources using CDC into Kafka and Confluent Platform, in partnership with Attunity (a Qlik company) and Confluent.

Learn Kubernetes terms, concepts and considerations, as well as best practices for deploying Apache Kafka on Kubernetes.

In this white paper, we offer recommendations and best practices for designing data architectures that will work well with Confluent Cloud.

In 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. Build a bulletproof data pipeline with Apache Kafka. Part 2 in the Best Practices for Apache Kafka in Production Series.

Ensure that only authorized clients have appropriate access to system resources by using RBAC with Kafka Connect.

In this online talk, Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent and Kafka PMC member, will help you navigate through the hype, address frequently asked questions and deliver critical information to help you decide if running Kafka on Kubernetes is the right approach for your organization.

This session shows how various sub-systems in Apache Kafka can be used to aggregate, integrate and attribute these signals into signatures of interest.

Confluent Platform 5.3 ist GA und wir freuen uns über viele neue Funktionen. Wir sprechen unter anderem über den Confluent Operator (also Kafka auf Kubernetes), Ansible Playbooks und die neue UI des Confluent Control Centers.

Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent, will help you decide if running Kafka on Kubernetes is the right approach for your organization.

Download the deployment guide to designing, configuring, and managing stream processing in Confluent Cloud with KSQL.

In this talk, we’ll explain the architectural reasoning for Apache Kafka^® and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect and KSQL.

In this talk, Matt Howlett will give a technical overview of Kafka, discuss some typical use cases (from surge pricing to fraud detection to web analytics) and show you how to use Kafka from within your C#/.NET applications.

In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming.

This brief describes a comprehensive streaming analytics platform for visualizing real-time data with Altiar Panopticon and Confluent Platform.

This brief describes streaming data analysis and visualization accelerated by Kinetica's GPU in-memory technology, in partnership with Confluent.

Experts 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.

Learn different options for integrating systems and applications with Apache Kafka^® and best practices for building large-scale data pipelines using Apache Kafka. Part 3 in the Apache Kafka: Online Talk Series.

During this online talk, presenters from Confluent and Qlik will demonstrate how to accelerate data delivery to enable real-time analytics, make data more valuable with real-time data ingestion to Kafka, modernize data centers by streaming data in real-time, and demo a customer use case for advanced analytics.

Recording from QCon New York 2017 Gwen Shapira discusses patterns of schema design, schema storage and schema evolution that help development teams build better contracts through better collaboration - and deliver resilient applications faster.

We’ll discuss how to leverage some of the more advanced transformation capabilities available in both KSQL and Kafka Connect. Part 3 of 3 in Streaming ETL - The New Data Integration online talk series.

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. Part 6 of the Apache Kafka: Online Talk Series.

Im 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.

In this paper, we introduce the Dual Streaming Model. The model presents the result of an operator as a stream of successive updates, which induces a duality of results and streams.

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. Part 1 in the Apache Kafka for Microservices: A Confluent Online Talk Series.

What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose real-time requirements on technology leaders.

Gwen Shapira presents core patterns of modern data engineering and explains how you can use microservices, event streams and a streaming platform like Apache Kafka to build scalable and reliable data pipelines. Part 1 of 3 in Streaming ETL - The New Data Integration series.

The ‘current state of stream processing’ walks through the origins of stream processing, applicable use cases and then dives into the challenges currently facing the world of stream processing as it drives the next data revolution.

In this talk Gwen Shapira will break through the clutter and look at how successful companies are adopting centralized streaming platforms, and the use-cases and methodologies that we see practiced right now.

Download this Forrester study to understand the economic benefits of Confluent Platform. Learn how you can reduce DevOps costs by $2.4M and accelerate business enablement by $3.8M.

In this interactive discussion, the KSQL team will answer 10 of the toughest, most frequently asked questions about KSQL.

Read this white paper to learn about the common use cases Confluent is seeing amongst its financial services customers.

In this short webinar, Thomas Trepper, Training Delivery Manager EMEA, shows the training options for Kafka developers and operators as well as the possibilities for certification. All online trainings and details can be found here: https://www.confluent.io/training/

Thomas Trepper, Training Delivery Manager EMEA, zeigt in diesem kurzen Webinar die Trainings-Optionen für Kafka-Entwickler und -Operator sowie die Möglichkeiten zur Zertifizierung. Alle Online-Trainings und Details findet ihr hier: https://www.confluent.io/training/

In this online talk, Technology Evangelist Kai Waehner will discuss and demo how you can leverage technologies such as TensorFlow with your Kafka deployments to build a scalable, mission-critical machine learning infrastructure for ingesting, preprocessing, training, deploying and monitoring analytic models.

See how Kinetica enables businesses to leverage the streaming data delivered with Confluent Platform to gain actionable insights.

This online talk includes in depth practical demonstrations of how Confluent and Panopticon together support several key financial services and IoT applications, including transaction cost analysis and risk monitoring.

Dank Apache Kafka^® können Unternehmen Echtzeitdaten optimal nutzen. Im Webinar erfahrt ihr mehr über Daten-Streaming und wie es Entwicklungskosten reduzieren kann.

Join the Confluent Product team as we provide a technical overview of Confluent Platform 5.4, which delivers groundbreaking enhancements in the areas of security, disaster recovery and scalability.

This online talk focuses on the key business drivers behind connecting to Kafka and introduces the new Confluent Verified Integrations Program. Part 1 of 2 in Building Kafka Connectors - The Why and How

Learn why organizations are considering Apache Kafka to streamline cloud migrations.

Wie Audi mithilfe von Kafka und Confluent eine Fast Data IoT-Plattform umgesetzt hat, die den Bereich "Connected Car“ revolutioniert.