Discussions en ligne

On Demand Online Talks

• Length: 01:00:24

  Modernizing the Manufacturing Industry with Kafka and MQTT

  Industry 4.0 and smart manufacturing are driving the manufacturing industry to modernize their software infrastructure. The current infrastructure is costly to maintain, creates barriers to sharing data, difficult to integrate with other systems and is limiting corporations to new opportunities promised by Industry 4.0. A key challenge to modernizing a manufacturing infrastructure is how do you integrate old existing systems with new modern systems. Apache Kafka and MQTT are unique positioned to provide the core technology to enable modernization of the manufacturing industry. 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. Speaker: Dominik Obermaier, CTO, HiveMQ

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• Length: 09:22

  Deep Dive – Centralized ACLs & RBAC

  Die Bereitstellung und der Betrieb eines verteilten und skalierbaren Datensystems kann eine Herausforderung darstellen. Wenn die Plattform skaliert wird, um zusätzliche Use Cases zu unterstützen, stehen Unternehmen vor Herausforderungen wie langen Bereitstellungszyklen, betrieblicher Komplexität oder Schwierigkeiten bei der Gewährleistung von Security auf Unternehmensebene. 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).

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• Length: 42:33

  Fuelling real-time use cases in online media streaming through Kafka

  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.

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• Length: 58:21

  Apache Kafka: Advice from the trenches or how to successfully fail!

  Operating a complex distributed system such as Apache Kafka could be a lot of work, so many moving parts need to be understood when something wrong happens. With brokers, partitions, leaders, consumers, producers, offsets, consumer groups, etc, and security, managing Apache Kafka can be challenging. From managing consistency, numbers of partitions, understanding under replicated partitions, to the challenges of setting up security, and others, in this talk we will review common issues, and mitigation strategies, seen from the trenches helping teams around the globe with their Kafka infrastructure.

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• Length: 45:37

  RBAC, Multi-Region Clusters und mehr: Confluent Platform 5.4 im Detail

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

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• Length: 46:30

  Event Streaming and the MongoDB Kafka Connector

  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.

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• Length: 01:01:54

  Streaming Data to Apache Kafka® for Real-time Decisions

  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.

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• Length: 43:29

  Bosch Power Tools Enables Real-time Analytics on IoT Event Streams

  Bosch Power Tools is among the world’s leading providers of power tools, power tool accessories, and measuring tools. To accelerate its IoT initiatives, Bosch uses event streaming with manufacturing data from IoT sensor devices to monitor and respond to inefficiencies in the production system, changes in the supply chain, and product quality reports in the field. 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.

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• Length: 47:14

  Confluent Platform 5.4 – ¿Qué hay de nuevo?

  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.

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• Length: 56:45

  What’s New in Confluent Platform 5.4

  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.

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• Length: 59:39

  Creare applicazioni “streaming” con Confluent Platform, Kafka e KSQL

  Apache Kafka é la piattaforma di riferimento per lo streaming di dati ed eventi, sia come sistema di messaggistica, che come framework di integrazione (Kafka Connect) che come framework per il processamento e trasformazione dei dati stessi (Kafka Streams). Ma c'é di piú, e si puó realizzare tutto senza conoscere Java o Scala.Filtrare stream, arricchire i dati, fare join tra stream e tabelle e molto altro: il tutto usando la familiare sintassi di SQL. 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.

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• Length: 49:53

  Operaciones en Apache Kafka, cómo dormir toda la noche sin recibir alertas inesperadas

  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.

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• Length: 58:13

  On Track with Apache Kafka: Building a Streaming ETL Solution with Rail Data

  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. If you're wondering how to build your next scalable data platform, how to reconcile the impedance mismatch between stream and batch, and how to wrangle streams of data—this talk is for you!

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• Length: 50:12

  Enabling event streaming at AO.com

  Learn how AO.com are enabling real-time event-driven applications to improve customer experience using Confluent Platform.The introduction of Apache Kafka and the Confluent platform is supporting AO.com in modernizing the technical approach to delighting its customers. A key part of this enablement is the introduction of an event-streaming eco-system enabling event-driven applications and architecture.Throughout this session, we’ll look at the challenges AO.com faced when looking to adopt Kafka, their use of Confluent Platform including Kafka Connect and KSQL and the adoption of Confluent Cloud. We’ll look at the first steps, where the team are at now and what the future looks like.

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• Length: 59:16

  Best Practices for Streaming IoT Data with MQTT and Apache Kafka®

  Organizations today are looking to stream IoT data to Apache Kafka. However, connecting tens of thousands or even millions of devices over unreliable networks can create some architecture challenges. 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.

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• Length: 57:11

  Design and Implementation of Incremental Cooperative Rebalancing

  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.

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• Length: 51:06

  Integrating Apache Kafka® Into Your Environment

  Integrating Apache Kafka with other systems in a reliable and scalable way is a key part of an event streaming platform. 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 session is part 4 of 4 in our Fundamentals for Apache Kafka series.

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• Length: 01:02:30

  How Apache Kafka® Works

  Pick up best practices for developing applications that use Apache Kafka, beginning with a high level code overview for a basic producer and consumer. From there we’ll cover strategies for building powerful stream processing applications, including high availability through replication, data retention policies, producer design and producer guarantees, and more.

  This session is part 3 of 4 in our Fundamentals for Apache Kafka series.

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• Length: 30:47

  Kafka, aber sicher: Security-Komponenten in Confluent Platform

  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.

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• Length: 56:59

  Apache Kafka® Architecture & Fundamentals Explained

  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. Learn about the underlying design in Kafka that leads to such high throughput.

  This session is part 2 of 4 in our Fundamentals for Apache Kafka series.

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• Length: 56:00

  Benefits of Stream Processing and Apache Kafka Use Cases

  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. Learn how major players in the market are using Kafka in a wide range of use cases.

  This session is part 1 of 4 in our Fundamentals for Apache Kafka series.

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• Length: 54mins

  Impulsando la transformación del negocio con Confluent Platform y Apache Kafka

  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 laplataforma: El log de almacenamiento inmutable, el motor de procesado en tiempo real (Kafka Streams) y el framework que lo conecta con el mundo exterior (Kafka Connect).

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• Length: 01:00:24

  Building an Enterprise Eventing Framework

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

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• Length: 58:11

  Apache Kafka® + Machine Learning for Supply Chain

  Leaders in organizations who are responsible for global supply chain planning need to work with and integrate data from disparate sources around the world. Many of these data sources output information in real-time, which assists planners in operationalizing plans and interacting with manufacturing output. This talk showcases different use cases in automation and Industrial IoT (IIoT) where an event streaming platform adds business value.

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• Length: 54:54

  How to Build an Apache Kafka® Connector

  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. We cover the verification steps and provide code samples created by popular application and database companies. We will discuss the resources available to support you through the connector development process.

  Part 2 of 2 in Building Kafka Connectors - The Why and How

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• Length: 38:31

  Why Build an Apache Kafka® Connector

  This online talk focuses on the key business drivers behind connecting to Kafka and introduces the new Confluent Verified Integrations Program. We’ll discuss what it takes to participate, the process and benefits of the program.

  Part 1 of 2 in Building Kafka Connectors - The Why and How

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• Length: 35:14

  SIEM Modernization: Build a Situationally Aware Organization with Apache Kafka®

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

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• 26:29

  Sommer, Sonne, Updates: Was ist neu in Confluent Platform 5.3?

  Sucht euch ein schattiges Plätzchen und spitzt die Ohren: 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. Sprecher: Kai Waehner, Technology Evangelist, Confluent

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• Length: 45:36

  Everything You Always Wanted to Know About Kafka’s Rebalance Protocol but Were Afraid to Ask

  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. We discuss internal technical details, pros and cons of the existing approaches, and explain how you configure your client correctly for your use case. Additionally, we discuss configuration tradeoffs for stateless, stateful, on-prem, and containerized deployments.

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• Length: 51:45

  De zéro à héros avec Kafka Connect

  This talk discusses the key design concepts within Apache Kafka Connect and the pros and cons of standalone vs distributed deployment modes. We'll do a live demo of building pipelines with Apache Kafka Connect for streaming data in from databases, and out to targets including Elasticsearch. The talk will finish off by discussing more advanced topics including Single Message Transforms, and deployment of Kafka Connect in containers.

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• Length: 28:40

  Intégration de bout en bout depuis le système IoT Edge vers Confluent Cloud

  This interactive whiteboard presentation discusses use cases leveraging the Apache Kafka® open source ecosystem as an event streaming platform to process IoT data. The session shows architectural alternatives of how devices like cars, machines or mobile devices connect to Apache Kafka via IoT standards like MQTT or OPC-UA.

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• Length: 19:27

  How to Fail at Apache Kafka®

  Apache Kafka® is used by thousands of companies across the world but, how difficult is it to operate? Which parameters do you need to set? What can go wrong? 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.

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• Length: 55:07

  Architecturer des applications de microservices avec l'analyse instantanée

  This online talk explores how Apache Druid and Apache Kafka® can turn a microservices ecosystem into a distributed real-time application with instant analytics. Apache Kafka and Druid form the backbone of an architecture that meet the demands imposed on the next generation applications you are building right now.

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• Length: 28.09

  Connecter Apache Kafka® à Cash

  Real-time data has value. But how do you quantify that value in order to create a business case for becoming data, or event driven? This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.

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• Length: 54:41

  Plateformes de streaming cloud natives modernes : microservices de streaming d'événements avec Apache Kafka® sur Kubernetes

  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 to determine the path forward for legacy monoliths in your application portfolio.

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• Length: 43:39

  Building Event-Driven Applications with Apache Kafka® & Confluent Platform

  In this session, we will cover the easiest ways to start developing event-driven applications with Apache Kafka using Confluent Platform. We will also demo a contextual event-driven application built using our ecosystem of connectors, REST proxy, and a variety of native clients.

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• Length: 34:19

  Wie aus alten Silos agile Container werden: Der Betrieb von Apache Kafka® auf Kubernetes [German]

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

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• Length: 56:22

  Fast Data – Fast Cars: Wie Apache Kafka die Datenwelt revolutioniert [German]

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

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• Length: 47:20

  Introduction to KSQL: Streaming SQL for Apache Kafka®

  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, without the need to write code in a programming language such as Java or Python.

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• Length: 59:38

  GCP pour les utilisateurs d'Apache Kafka® : ingestion et traitement des flux

  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.

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• Length: 49:35

  Introducing Events and Stream Processing into Nationwide Building Society

  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®.

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• Length: 01:03:20

  Introduction à KSQL et traitement de Kafka Streams avec Ticketmaster

  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.

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• Length: 56:09

  Plus de silos : intégrer des bases de données dans Apache Kafka®

  This talk looks at one of the most common integration requirements – connecting databases to Apache Kafka. We’ll consider the concept that all data is a stream of events, including that residing within a database. We’ll look at why we’d want to stream data from a database, the different methods for connecting databases to Apache Kafka, and the pros and cons of each.

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• Length: 58:21

  Express Scripts: Driving Digital Transformation from Mainframe to Microservices

  Express Scripts is reimagining its data architecture to bring best-in-class user experience and provide the foundation of next-generation applications. 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.

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• Length: 56:16

  Bridge to Cloud: Using Apache Kafka to Migrate to GCP

  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. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.

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• Length: 53:37

  Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Financial Services & IoT Applications

  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.

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• Length: 56:19

  ATM Fraud Detection with Apache Kafka 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. Using KSQL, it's possible to use just SQL to build scalable real-time applications.

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• Length: 55:24

  Driving Business Transformation with Real-Time Analytics Using Apache Kafka and KSQL

  Join experts from Confluent, Arcadia Data and RCG for a discussion and demo on how companies are integrating streaming data technologies to transform their business. 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.

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• Length: 51:41

  Under 10 seconds from source to target – Real-Time Data Streaming in the Insurance Industry

  Insurance companies are facing similar challenges like all other disrupted market segments like the change of customer expectations and hence the need of differentiating itself new as a brand in a challenging market environment. Learn how Generali Switzerland set up an event-driven architecture to support their digital transformation project.

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• Length: 41:57

  First Steps with Apache Kafka on Google Cloud Platform

  Curious about Apache Kafka®? Find out why you would want to use the de facto standard for real-time streaming, the easiest way to get started and how to leverage the extensive Apache Kafka ecosystem. In this chat, we'll demo how to implement real-time clickstream analytics on Confluent Cloud, fully managed Apache Kafka as a service.

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• Length: 57:32

  Bridge to Cloud: Using Apache Kafka 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 AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.

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• Length: 53:03

  Achieve Sub-Second Analytics on Apache Kafka with Confluent and Imply

  Join us for a demo to learn how easy it is to integrate your Apache Kafka^® streams in Apache Druid (incubating) to provide real-time insights into the data. 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.

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• Length: 47:44

  Financial Event Sourcing at Enterprise Scale

  If you are familiar with banking processes, you will understand that this is not simple. Many banking processes are implemented as batch jobs on not-so-commodity hardware, meaning that any migration effort is immense. Rabobank rose to this challenge and defined the Business Event Bus (BEB) as the place where business events from across the organisation are shared between applications.

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• Length: 39:02

  Modernizing Your Application Architecture with Microservices

  Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. Learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®.

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• Length: 1:03:03

  The Digital Transformation Mindset – More Than Just Technology

  As streaming platforms become central to data strategies, companies both small and large are re-thinking their enterprise architecture with real-time context at the forefront. Monoliths are evolving into microservices. Datacenters are moving to the cloud. 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.

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• Length: 1:00:23

  Event-driven Business: How Leading Companies Are Adopting Streaming Strategies

  With the evolution of data-driven strategies, event-based business models are influential in innovative organizations. As businesses look to expand traditional revenues, sourcing events from enterprise applications, mobile apps, IoT devices and social media in real time becomes essential to staying ahead of the competition.

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• Length: 57:21

  New Approaches for Fraud Detection on Apache Kafka and KSQL

  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. Combine this with Arcadia Data visualizations designed for modern data types, and you have a powerful foundation for combating fraud.

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• Length: 52:52

  Compliance in Motion: Aligning Data Governance Initiatives with Business Objectives in the Streaming Era

  There’s a prevailing enterprise perception that compliance with data protection regulations and standards is a burden: limiting the leverage of data. However, the core requirement of compliance—better control of data—has multiple downstream benefits. When compliance objectives are aligned with existing business objectives, the business can experience net gain.

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• Length: 1:01:12

  Apache Kafka: Past, Present and Future

  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.

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• Length: 56:18

  Unlock the Power of Streaming Data with Kinetica and Confluent Platform

  See how Kinetica enables businesses to leverage the streaming data delivered with Confluent Platform to gain actionable insights, how to leverage the Kafka Connect API to integrate data sources and destinations without writing cumbersome code and a KSQL demo showcasing an end-to-end flow of the complete data pipeline from a live source, to KSQL and finally into Kinetica.

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• Length: 59:08

  Five Trends in Real Time Applications

  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.

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• Length: 59:17

  Unleashing Apache Kafka and TensorFlow in the Cloud

  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.

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• Length: 09:28

  Event Streaming Platforms

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

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• Length: 58:41

  Leveraging Microservice Architectures & Event-Driven Systems for Global APIs

  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, be them closely coupled or largely disconnected.

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• Length: 60:29

  The State of Stream Processing

  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.

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• Length: 59:29

  Streaming Transformations – Putting the T in Streaming ETL

  We’ll discuss how to leverage some of the more advanced transformation capabilities available in both KSQL and Kafka Connect, including how to chain them together into powerful combinations for handling tasks such as data-masking, restructuring and aggregations.

  This is part 3 of 3 in Streaming ETL - The New Data Integration online talk series.

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• Length: 59:32

  Steps to Building a Streaming ETL Pipeline with Apache Kafka^® and KSQL

  In this talk, we'll build a streaming data pipeline using nothing but our bare hands, the Kafka Connect API and KSQL. We'll stream data in from MySQL, transform it with KSQL and stream it out to Elasticsearch. Options for integrating databases with Kafka using CDC and Kafka Connect will be covered as well.

  This is part 2 of 3 in Streaming ETL - The New Data Integration series.

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• Length: 56:15

  Intelligent Real-Time Decisions with VoltDB and 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. We’ll walk through an application that leverages real-time data for machine learning in a scalable way.

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• Length: 63:16

  Capital One Delivers Risk Insights in Real Time with Stream Processing

  Capital One supports interactions with real-time streaming transactional data using Apache Kafka^®. Kafka helps deliver information to internal operation teams and bank tellers to assist with assessing risk and protect customers in a myriad of ways. Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka.

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• Length: 57:59

  Stateful, Stateless and Serverless – Running Apache Kafka^® on Kubernetes

  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.

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• Length: 58:37

  The Future of ETL Isn’t What It Used to Be

  Join Gwen Shapira, Apache Kafka^® committer and co-author of "Kafka: The Definitive Guide," as she 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 designed to evolve over time.

  This is part 1 of 3 in Streaming ETL - The New Data Integration series.

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• Length: 31:47

  Partie II: Développement en direct d’un microservice avec KSQL

  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.

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• Length: 31:42

  Partie I: Découvrir la plateforme Confluent et KSQL

  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.

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• Length: 59:39

  Apache Kafka^® Delivers a Single Source of Truth for The New York Times

  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 through a variety of applications and services—all through the power of a real-time streaming platform.

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• Length: 34:24

  Online Serie Teil 1: Apache Kafka^® und Confluent im Überblick

  In diesem Online Talk zeigen wir gibt eine kurze Einführung in Apache Kafka und die Verwendung als Daten-Streaming-Plattform. Es wird erklärt, wie Kafka als Grundlage sowohl für Daten-Pipelines als auch für Anwendungen dient, die Echtzeit-Datenströme konsumieren und verarbeiten. Außerdem zeigen wir, wie Confluent Enterprise, Confluents Angebot von Apache Kafka, es Unternehmen ermöglicht, den Betrieb, die Verwaltung und Überwachung einer Kafka-Streaming-Plattform zu zentralisieren und zu vereinfachen.

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• Length: 1:02:31

  Top 10 FAQs for KSQL, Streaming SQL for 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.

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• Length: 58:40

  Diffusez vos données Mainframe, SAP, DB2, Oracle, SQL les plus précieuses vers Apache Kafka^®

  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.

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• Length: 47:57

  Streaming von Mainframe- , SAP-, Oracle-, SQL- und alle anderen wichtigen Daten an Apache Kafka^®

  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.

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• Length: 44:54

  Von LinkedIn lernen: Daten-Streaming mit Apache Kafka^®

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

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• Length: 53:11

  Apache Kafka^® et le traitement de flux chez Pinterest

  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.

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• Length: 56:51

  Deploying and Operating KSQL

  In 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.

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• Length: 57:21

  Live Coding a KSQL Application

  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. 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.

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• Length: 57:24

  Exploring KSQL Patterns

  This 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.

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• Length: 55:05

  Monitoring Apache Kafka^® and Streaming Applications

  In 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.

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• Length: 43:43

  Disaster Recovery Plans for Apache Kafka^®

  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. 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.

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• Length: 53:26

  Common Patterns of Multi-Datacenter Architectures with Apache Kafka^®

  In 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.

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• Length: 53:35

  Reliability Guarantees in Apache Kafka^®

  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. 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.

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• Length: 55:31

  Deploying Confluent Platform in Production

  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^®. 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.

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• Length: 54:13

  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.

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• Length: 57:44

  Microservices and the Future of Data

  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.

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• 1:04:40

  Building Microservice Architectures Q&A Panel

  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.

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• Length: 55:43

  Introducing Exactly Once Semantics in 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. The main focus will be the specific semantics that Kafka distributed transactions enable and the underlying mechanics which allow them to scale efficiently.

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• Length: 49:48

  ETL is Dead, Long Live Streams!

  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. She covers some of the challenges of scaling Kafka to hundreds of billions of events per day at Linkedin, supporting thousands of engineers, etc.

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• Length: 30:57

  Introduction to Confluent Cloud: Apache Kafka^® as a Service

  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.

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• Length: 1:00:44

  Putting the Micro into Microservices with Stateful Stream Processing

  How 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.

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• Length: 58:23

  Building Event-Driven Services with Apache Kafka^®

  Should 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.

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• Length: 58:00

  The Data Dichotomy: Rethinking the Way We Treat Data and Services

  Services 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.

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• 52:18

  Streaming in Practice: Putting Apache Kafka^® in Production

  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 the 6-part Apache Kafka: Online Talk Series.

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• 1:00:55

  A Practical Guide to Selecting a Stream Processing Technology

  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 is part 5 of 6 in the Apache Kafka: Online Talk Series.

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• Length: 49:22

  Demystifying Stream Processing with Apache Kafka^®

  Learn 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.

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• Length: 1:06:52

  Real-time Data Streaming from Oracle to Apache Kafka

  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.

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• Length: 58:59

  Streaming Data Integration with Apache Kafka^®

  Learn 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.

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• Length: 59:50

  Deep Dive into Apache Kafka^®

  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 is part 2 of 6 in the Apache Kafka: Online Talk Series.

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• Length: 1:00:19

  Introduction to Streaming Data and Stream Processing with Apache 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.

  This is part 1 of 6 in the Apache Kafka: Online Talk Series.

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• Length: 59:30

  Microservices in the Apache Kafka^® Ecosystem

  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? When should you use these tools and when should you not? And where does stream processing fit in?

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• Length: 56:21

  Streaming Data Ingest and Processing with Kafka

  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.

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• Length: 53:22

  Data Streaming with Apache Kafka^® & MongoDB

  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.

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