Online Talks

On Demand Online Talks

• 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: 59:17

  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: 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: 09:28

  Event Streaming Platforms

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

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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: 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: 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: 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: 58:41

  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: 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^® and Stream Processing at 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: 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: 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: 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: 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: 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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