Hi [[ session.user.profile.firstName ]]

Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban

In this talk, Tim van Baarsen will take you on a journey beyond the basics of Spring Kafka and will share his knowledge, pitfalls and lessons learned based on real-life Kafka projects that are running in production for many years at ING Bank in the Netherlands.
Recorded May 26 2020 57 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Tim van Baarsen
Presentation preview: Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban

Network with like-minded attendees

  • [[ session.user.profile.displayName ]]
    Add a photo
    • [[ session.user.profile.displayName ]]
    • [[ session.user.profile.jobTitle ]]
    • [[ session.user.profile.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(session.user.profile) ]]
  • [[ card.displayName ]]
    • [[ card.displayName ]]
    • [[ card.jobTitle ]]
    • [[ card.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(card) ]]
  • Channel
  • Channel profile
  • Introducing Events and Stream Processing into Nationwide Building Society. Jul 22 2020 10:00 am UTC 49 mins
    Rob Jackson, Head of Application Architecture at Nationwide Building Society
    Open Banking regulations compel the UK’s largest banks, and building societies to enable their customers to share personal information with other regulated companies securely. As a result companies such as Nationwide Building Society are re-architecting their processes and infrastructure around customer needs to reduce the risk of losing relevance and the ability to innovate.

    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®. You will hear how Nationwide started their journey with Apache Kafka®, beginning with the initial use case of creating a real-time data cache using Change Data Capture, Confluent Platform and Microservices. Rob Jackson, Head of Application Architecture, will also cover how Confluent enabled Nationwide to build the stream processing backbone that is being used to re-engineer the entire banking experience including online banking, payment processing and mortgage applications.
  • Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban Jul 14 2020 1:00 pm UTC 57 mins
    Tim van Baarsen
    In this talk, Tim van Baarsen will take you on a journey beyond the basics of Spring Kafka and will share his knowledge, pitfalls and lessons learned based on real-life Kafka projects that are running in production for many years at ING Bank in the Netherlands.
  • Event Streaming in the Telco Industry with Apache Kafka and Confluent Jul 8 2020 9:15 am UTC 60 mins
    Kai Waehner
    Real-time data streaming is a hot topic in the Telecommunications Industry. As telecommunications companies strive to offer high speed, integrated networks with reduced connection times, connect countless devices at reduced latency, and transform the digital experience worldwide, more and more companies are turning to Apache Kafka’s data stream processing solutions to deliver a scalable, real-time infrastructure for OSS and BSS scenarios. Enabling a combination of on-premise data centers, edge processing, and multi-cloud architectures is becoming the new normal in the Telco Industry. This combination is enabling accelerated growth from value-added services delivered over mobile networks.

    Join Kai Waehner, Technology Evangelist at Confluent, for this session which explores various telecommunications use cases, including data integration, infrastructure monitoring, data distribution, data processing and business applications. Different architectures and components from the Kafka ecosystem are also discussed.

    Join this online talk to learn how to:
    - Overcome challenges for building a modern hybrid telco infrastructure
    - Build a real time infrastructure to correlate relevant events
    - Connect thousands of devices, networks, infrastructures, and people
    - Work together with different companies, organisations and business models
    - Leverage open source and fully managed solutions from the Apache Kafka ecosystem, Confluent Platform and Confluent Cloud
  • Data-Centric Security, Governance and Encryption for Apache Kafka at Scale Recorded: Jun 25 2020 46 mins
    Ala Al-sharif, Sales Engineer, Confluent
    As businesses unite around Apache Kafka® as the single source of truth and Confluent Platform as the organisation's central nervous system, enabling data-centric security and governance features becomes crucial. Don’t miss ‘Data Security, Governance & Encryption at Scale’, an online talk in which speakers from Confluent, SecuPi and Marionete will discuss the things you must absolutely get right for data protection and privacy when using Apache Kafka and Confluent KSQL.



    Join us on Tuesday June 2nd at 2.00 pm London time to learn more about:


    1. Must-have data-centric security and GDPR/CCPA privacy requirements of streaming large scale near real time (NRT) data
    2. How to classify, monitor, audit and encrypt (with Hold Your Own Key - HYOK)/mask/filter sensitive data flows for Kafka and Confluent KSQL using SecuPi Data-Centric Platform
    3. How Confluent Platform and SecuPi integrate with Marionete expert services for end to end data protection and privacy compliance capabilities for Kafka implementations
  • Journey to the event-driven business with Apache Kafka Recorded: Jun 17 2020 60 mins
    Ala Al-sharif
    According to Gartner, “By 2020 event sourced, real-time situational awareness will be a required characteristic for 80% of digital business solutions. And 80% of new business ecosystems will require support for event processing.”

    In this webinar Whishworks and Confluent discuss why event streaming has become so important for business success and what it takes to become an event-driven organisation:

    Why companies are adopting Real Time and Event Streaming
    - Business Digitisation Trends - modernising data architecture
    - Enabling new outcomes

    The journey to become an event-driven business with Kafka
    - 5 steps to the event-driven business
    - Enterprise scale event streaming
    - Use cases across industries
  • Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban Recorded: Jun 9 2020 57 mins
    Tim van Baarsen
    In this talk, Tim van Baarsen will take you on a journey beyond the basics of Spring Kafka and will share his knowledge, pitfalls and lessons learned based on real-life Kafka projects that are running in production for many years at ING Bank in the Netherlands.
  • On Track with Apache Kafka®: Building a Streaming ETL Solution with Rail Data Recorded: May 29 2020 58 mins
    Robin Moffatt, Developer Advocate, Confluent
    As data engineers, we frequently need to build scalable systems working with data from a variety of sources and with various ingest rates, sizes, and formats. 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.

    Using a public feed of railway data it will show how to ingest data from message queues such as ActiveMQ with Kafka Connect, as well as from static sources such as S3 and REST endpoints. We'll then see how to use stream processing to transform the data into a form useful for streaming to analytics in tools such as Elasticsearch and Neo4j. The same data will be used to drive a real-time notifications service through Telegram.

    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!
  • Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban Recorded: May 26 2020 57 mins
    Tim van Baarsen
    In this talk, Tim van Baarsen will take you on a journey beyond the basics of Spring Kafka and will share his knowledge, pitfalls and lessons learned based on real-life Kafka projects that are running in production for many years at ING Bank in the Netherlands.
  • Elastically Scaling Kafka Using Confluent Recorded: May 22 2020 60 mins
    Josh Rosenberg, Group Product Marketing, Confluent + Ricardo Ferreira, Developer Advocate, Confluent
    The number of mission-critical apps and the amount of data underpinning them has grown exponentially in the increasingly digital world - with no sign of slowing down. But rigid data architectures slow organizations down, forcing them to spend too much up front on resources they don’t use, and causing lag or downtime across their apps. In today’s hypercompetitive digital world where customer loyalty connects with the best performing applications, every millisecond delay could be another lost customer.

    Adjusting to the real-time needs of your mission-critical apps is only possible with an architecture that scales elastically. Confluent re-engineered Apache Kafka into an elastically scalable, next-gen event streaming platform that processes real-time data wherever it lives - making it accessible for any budget or use case.

    Register now to learn how to:
    -Quickly deploy Kafka in Confluent Cloud with just a few clicks and elastically scale your workloads
    -Effortlessly connect your critical data sources and sinks to Kafka to build a complete data pipeline for your real-time apps
    -Easily process streaming data with a simple interactive SQL interface using fully-managed KSQL
    -Accelerate the deployment of standardized, self-managed Kafka clusters as cloud-native systems on Kubernetes to achieve elastic scale with Confluent Platform
  • Enabling Smarter Cities and Connected Vehicles with Apache Kafka Recorded: May 13 2020 57 mins
    Kai Waehner, Technology Evangelist, Confluent + Rob Cowert, Systems Engineer, Confluent
    Many cities are investing in technologies to transform their cities into smart city environments in which data collection and analysis is utilized to manage assets and resources efficiently. Modern technology can help connect the right data, at the right time, to the right people, processes and systems. Innovations around smart cities and the Internet of Things give cities the ability to improve motor safety, unify and manage transportation systems and traffic, save energy and provide a better experience for the residents.

    By utilizing an event streaming platform, like Confluent, cities are able to process data in real-time from thousands of sources, such as sensors. By aggregating that data and analyzing real-time data streams, more informed decisions can be made and fine-tuned operations developed for a positive impact on everyday challenges faced by cities.

    Watch this webinar to learn how to:
    -Overcome challenges for building a smarter city
    -Build a real time infrastructure to correlate relevant events
    -Connect thousands of devices, machines, and people
    -Leverage open source and fully-managed solutions from the Apache Kafka ecosystem
  • Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban Recorded: May 10 2020 58 mins
    Tim van Baarsen
    In this talk, Tim van Baarsen will take you on a journey beyond the basics of Spring Kafka and will share his knowledge, pitfalls and lessons learned based on real-life Kafka projects that are running in production for many years at ING Bank in the Netherlands.
  • Simplified Hybrid Cloud Migration with Confluent and Google Cloud Recorded: May 7 2020 55 mins
    Josh Treichel, Confluent + Kir Titievsky, Google Cloud + Oguz Kayral, Unity Technologies
    In uncertain times, business flexibility is at a premium. What is a proper cloud migration strategy? How can you safely prepare and migrate applications to hybrid cloud? Apache Kafka and Confluent provide flexible deployment options for a simplified, multi-cloud migration. Move workloads to Google Cloud Platform without a change of technologies, reducing risk, increasing business options, and optimizing workloads for GCP and hybrid cloud.

    Unity Technologies, a video game and software development company, and creator of the world's leading real-time 3D development platform that reaches nearly 3 billion devices worldwide, recently turned to event stream processing via Apache Kafka and Confluent Platform to migrate to GCP.

    Join Unity, Confluent and GCP to learn how to reduce risk and increase business options with a hybrid cloud strategy.

    Register now to learn:
    -Challenges and considerations with any cloud migration strategy
    -Why building a robust data pipeline across any cloud and on-premises systems, and replicating streaming data from any Kafka cluster to GCP matters
    -How utilizing Google technology including Google ML Engine, Google AutoML and Google BigQuery, in addition to partner ISV services like MongoDB, Snowflake, Datastax, can make a difference in your business
    -What Confluent's enterprise streaming platform offers above and beyond Apache Kafka
    -Why Unity moved to Google Cloud, what drove their migration, and the lessons they learned
  • What’s New in Confluent Platform 5.5 Recorded: May 7 2020 39 mins
    Nick Bryan, Product Marketing Manager, Confluent + David Araujo, Sr. Product Manager, Confluent
    Join the Confluent Product Marketing team as we provide an overview of Confluent Platform 5.5, which makes Apache Kafka and event streaming more broadly accessible to developers with enhancements to data compatibility, multi-language development, and ksqlDB.

    Building an event-driven architecture with Apache Kafka allows you to transition from traditional silos and monolithic applications to modern microservices and event streaming applications. With these benefits has come an increased demand for Kafka developers from a wide range of industries. The Dice Tech Salary Report recently ranked Kafka as the highest-paid technological skill of 2019, a year removed from ranking it second.

    With Confluent Platform 5.5, we are making it even simpler for developers to connect to Kafka and start building event streaming applications, regardless of their preferred programming languages or the underlying data formats used in their applications.

    This session will cover the key features of this latest release, including:
    -Support for Protobuf and JSON schemas in Confluent Schema Registry and throughout our entire platform
    -Exactly once semantics for non-Java clients
    -Admin functions in REST Proxy (preview)
    -ksqlDB 0.7 and ksqlDB Flow View in Confluent Control Center
  • Bosch Power Tools Enables Real-time Analytics on IoT Event Streams Recorded: May 7 2020 43 mins
    Ralph Debusmann, IoT Solution Architect, Bosch Power Tools + Jeff Bean, Confluent + Igor Canadi, Rockset
    Bosch Power Tools, a division of The Bosch Group, 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.
  • Bosch Power Tools Enables Real-time Analytics on IoT Event Streams Recorded: Apr 30 2020 43 mins
    Ralph Debusmann, IoT Solution Architect, Bosch Power Tools + Jeff Bean, Confluent + Igor Canadi, Rockset
    Bosch Power Tools, a division of The Bosch Group, 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.
  • Bridge to Cloud: Using Apache Kafka to Migrate to AWS Recorded: Apr 23 2020 57 mins
    Priya Shivakumar (Confluent) + Konstantine Karantasis (Confluent) + Rohit Pujari (AWS)
    Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS

    Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.

    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.

    In this online talk we will cover:
    •How to take the first step in migrating to AWS
    •How to reliably sync your on premises applications using a persistent bridge to cloud
    •Learn how Confluent Cloud can make this daunting task simple, reliable and performant
    •See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
  • Introducing Events and Stream Processing into Nationwide Building Society. Recorded: Apr 15 2020 49 mins
    Rob Jackson, Head of Application Architecture at Nationwide Building Society
    Open Banking regulations compel the UK’s largest banks, and building societies to enable their customers to share personal information with other regulated companies securely. As a result companies such as Nationwide Building Society are re-architecting their processes and infrastructure around customer needs to reduce the risk of losing relevance and the ability to innovate.

    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®. You will hear how Nationwide started their journey with Apache Kafka®, beginning with the initial use case of creating a real-time data cache using Change Data Capture, Confluent Platform and Microservices. Rob Jackson, Head of Application Architecture, will also cover how Confluent enabled Nationwide to build the stream processing backbone that is being used to re-engineer the entire banking experience including online banking, payment processing and mortgage applications.
  • The Rise of Real-Time Event-Driven Architecture Recorded: Apr 2 2020 34 mins
    Tim Berglund, Sr. Director Developer Experience, Confluent
    Businesses operate in real-time and the software they use is catching up. Rather than processing data only at the end of the day, enterprises are seeking to react to it continuously as the data arrives.

    This is the emerging world of stream processing. Apache Kafka® was built with the vision to become the central nervous system that makes data available in real-time to all the applications that need to use it.

    This talk explains how companies are using the concepts of events and streams to transform their business to meet the demands of this digital future and how Apache Kafka® serves as a foundation to streaming data applications.
  • What's New in Confluent Platform 5.4 Recorded: Mar 26 2020 56 mins
    Mau Barra, Group Manager, Product Marketing, Confluent
    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.

    Building an event-driven architecture with Apache Kafka allows you to transition from traditional silos and monolithic applications to modern microservices and event streaming applications.

    However, large enterprises need to complement Kafka with foundational architectural attributes required for production, along with tools that help them run Kafka efficiently at scale.

    This session will cover the key features of this latest release, including:
    -Role-Based Access Control
    -Structured Audit Logs
    -Multi-Region Clusters
    -Schema Validation
    -Tiered Storage
  • Bosch Power Tools Enables Real-time Analytics on IoT Event Streams Recorded: Feb 27 2020 44 mins
    Ralph Debusmann, IoT Solution Architect, Bosch Power Tools + Jeff Bean, Confluent + Igor Canadi, Rockset
    Bosch Power Tools, a division of The Bosch Group, 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.
We provide a central nervous system for streaming real-time data.
Confluent, founded by the creators of open source Apache Kafka®, provides the leading streaming platform that enables enterprises to maximize the value of data. Confluent Platform empowers leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, to move data from isolated systems into a real-time data pipeline where they can act on it immediately.

Backed by Benchmark, Index Ventures and Sequoia, Confluent is based in Palo Alto, California. To learn more, please visit www.confluent.io.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Spring Kafka Beyond the Basics - Lessons learned on our Kafka Journey at ING Ban
  • Live at: May 26 2020 10:00 am
  • Presented by: Tim van Baarsen
  • From:
Your email has been sent.
or close