In this webinar we want to share our experience on how the Swiss Mobiliar, the biggest Swiss household insurance enterprise, introduced Kafka and led it to enterprise-wide adoption with the help of AGOORA.com.
Stream me to the Cloud (and back) with Confluent & MongoDBconfluent
In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back.
Confluent Cloud for Apache Kafka® | Google Cloud Next ’19confluent
Google Cloud Next ’19
Speakers:
Gaetan Castelein, Confluent Product Marketing
Kir Titievsky, Google Product Management
Confluent Cloud for Apache Kafka® was a session conducted at Google Cloud Next ’19 on the topic of how Confluent and Google are partnering to give you a complete event-streaming platform that extends Kafka with essential capabilities for developers and enterprises. Confluent is available as a fully managed, first class service on GCP, or can be deployed on-premises on Google Cloud Services Platform. Developers can deploy Confluent Cloud™ in minutes right from the Google Cloud Console to start building event-driven applications. Enterprises can build hybrid cloud streaming solutions with a common platform that spans from on-premises to GCP, streaming data to GCP to leverage best-of-breed services such as BigQuery and TensorFlow. Review this presentation to learn about Confluent and GCP services, and see how you can get started in just minutes with no upfront commitment.
Building a Secure, Tamper-Proof & Scalable Blockchain on Top of Apache Kafka ...confluent
Apache Kafka is an open source event streaming platform. It is often used to complement or even replace existing middleware to integrate applications and build microservice architectures. Apache Kafka is already used in various projects in almost every bigger company today. Understood, battled-tested, highly scalable, reliable, real-time.
Blockchain is a different story. This technology is a lot in the news, especially related to cryptocurrencies like Bitcoin. But what is the added value for software architectures? Is blockchain just hype and adds complexity? Or will it be used by everybody in the future, like a web browser or mobile app today? And how is it related to an integration architecture and event streaming platform?
This session explores use cases for blockchains and discusses different alternatives such as Hyperledger, Ethereum and a Kafka-native tamper-proof blockchain implementation. Different architectures are discussed to understand when blockchain really adds value and how it can be combined with the Apache Kafka ecosystem to integrate blockchain with the rest of the enterprise architecture to build a highly scalable and reliable event streaming infrastructure.
Speakers:
Kai Waehner, Technology Evangelist, Confluent
Stephen Reed, CTO, Co-Founder, AiB
Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...confluent
Watch this talk here: https://www.confluent.io/online-talks/using-apache-kafka-to-optimize-real-time-analytics-financial-services-iot-applications
When it comes to the fast-paced nature of capital markets and IoT, the ability to analyze data in real time is critical to gaining an edge. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of the data you have at your fingertips.
Modern streaming data technologies like Apache Kafka and the broader Confluent platform can help detect opportunities and threats in real time. They can improve profitability, yield, and performance. Combining Kafka with Panopticon visual analytics provides a powerful foundation for optimizing your operations.
Use cases in capital markets include transaction cost analysis (TCA), risk monitoring, surveillance of trading and trader activity, compliance, and optimizing profitability of electronic trading operations. Use cases in IoT include monitoring manufacturing processes, logistics, and connected vehicle telemetry and geospatial data.
This online talk will include in depth practical demonstrations of how Confluent and Panopticon together support several key applications. You will learn:
-Why Apache Kafka is widely used to improve performance of complex operational systems
-How Confluent and Panopticon open new opportunities to analyze operational data in real time
-How to quickly identify and react immediately to fast-emerging trends, clusters, and anomalies
-How to scale data ingestion and data processing
-Build new analytics dashboards in minutes
Understanding the TCO and ROI of Apache Kafka & Confluentconfluent
For a product or service to be cost effective, it must be considered to be good value, where the benefits are worth at least what is paid for them. But how do we measure this, to prove the case? Given that value can be intangible, it can be hard to quantify and may have little relationship to cost. Added to this, the open source nature of Apache Kafka means that many companies skip the requirement to build a business case for it, until it has become mission critical and demands financial and human resources.
In this presentation, Lyndon Hedderly, Team Lead of Business Value Consulting at Confluent, will cover how Confluent works with customers to measure the business value of data streaming
Event: https://www.meetup.com/de-DE/Vienna-Kafka-meetup/events/262314643/
Speaker: Patrik Kleindl (patrik.kleindl@bearingpoint.com)
Slides of the introduction to Apache Kafka and some popular use cases.
Slides were provided by Confluent (confluent.io)
Blockchain and Kafka - A Modern Love Story | Suhavi Sandhu, Guidewire SoftwareHostedbyConfluent
After familiarizing myself with blockchain over the past couple years, I noticed a few caveats and setbacks that make blockchain a ‘not-so-ideal’ solution to record tracking in a P2P network. It’s not as scalable and it’s quite slow in a busy network. Enter Apache Kafka, with its high performance and immutable logging. In this talk, I want to explore the relationship between Blockchain and Kafka and demonstrate how the two technologies can benefit from each other. If you’re interested in the future of blockchain and love Kafka, this is definitely up your alley.
Stream me to the Cloud (and back) with Confluent & MongoDBconfluent
In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back.
Confluent Cloud for Apache Kafka® | Google Cloud Next ’19confluent
Google Cloud Next ’19
Speakers:
Gaetan Castelein, Confluent Product Marketing
Kir Titievsky, Google Product Management
Confluent Cloud for Apache Kafka® was a session conducted at Google Cloud Next ’19 on the topic of how Confluent and Google are partnering to give you a complete event-streaming platform that extends Kafka with essential capabilities for developers and enterprises. Confluent is available as a fully managed, first class service on GCP, or can be deployed on-premises on Google Cloud Services Platform. Developers can deploy Confluent Cloud™ in minutes right from the Google Cloud Console to start building event-driven applications. Enterprises can build hybrid cloud streaming solutions with a common platform that spans from on-premises to GCP, streaming data to GCP to leverage best-of-breed services such as BigQuery and TensorFlow. Review this presentation to learn about Confluent and GCP services, and see how you can get started in just minutes with no upfront commitment.
Building a Secure, Tamper-Proof & Scalable Blockchain on Top of Apache Kafka ...confluent
Apache Kafka is an open source event streaming platform. It is often used to complement or even replace existing middleware to integrate applications and build microservice architectures. Apache Kafka is already used in various projects in almost every bigger company today. Understood, battled-tested, highly scalable, reliable, real-time.
Blockchain is a different story. This technology is a lot in the news, especially related to cryptocurrencies like Bitcoin. But what is the added value for software architectures? Is blockchain just hype and adds complexity? Or will it be used by everybody in the future, like a web browser or mobile app today? And how is it related to an integration architecture and event streaming platform?
This session explores use cases for blockchains and discusses different alternatives such as Hyperledger, Ethereum and a Kafka-native tamper-proof blockchain implementation. Different architectures are discussed to understand when blockchain really adds value and how it can be combined with the Apache Kafka ecosystem to integrate blockchain with the rest of the enterprise architecture to build a highly scalable and reliable event streaming infrastructure.
Speakers:
Kai Waehner, Technology Evangelist, Confluent
Stephen Reed, CTO, Co-Founder, AiB
Technical Deep Dive: Using Apache Kafka to Optimize Real-Time Analytics in Fi...confluent
Watch this talk here: https://www.confluent.io/online-talks/using-apache-kafka-to-optimize-real-time-analytics-financial-services-iot-applications
When it comes to the fast-paced nature of capital markets and IoT, the ability to analyze data in real time is critical to gaining an edge. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of the data you have at your fingertips.
Modern streaming data technologies like Apache Kafka and the broader Confluent platform can help detect opportunities and threats in real time. They can improve profitability, yield, and performance. Combining Kafka with Panopticon visual analytics provides a powerful foundation for optimizing your operations.
Use cases in capital markets include transaction cost analysis (TCA), risk monitoring, surveillance of trading and trader activity, compliance, and optimizing profitability of electronic trading operations. Use cases in IoT include monitoring manufacturing processes, logistics, and connected vehicle telemetry and geospatial data.
This online talk will include in depth practical demonstrations of how Confluent and Panopticon together support several key applications. You will learn:
-Why Apache Kafka is widely used to improve performance of complex operational systems
-How Confluent and Panopticon open new opportunities to analyze operational data in real time
-How to quickly identify and react immediately to fast-emerging trends, clusters, and anomalies
-How to scale data ingestion and data processing
-Build new analytics dashboards in minutes
Understanding the TCO and ROI of Apache Kafka & Confluentconfluent
For a product or service to be cost effective, it must be considered to be good value, where the benefits are worth at least what is paid for them. But how do we measure this, to prove the case? Given that value can be intangible, it can be hard to quantify and may have little relationship to cost. Added to this, the open source nature of Apache Kafka means that many companies skip the requirement to build a business case for it, until it has become mission critical and demands financial and human resources.
In this presentation, Lyndon Hedderly, Team Lead of Business Value Consulting at Confluent, will cover how Confluent works with customers to measure the business value of data streaming
Event: https://www.meetup.com/de-DE/Vienna-Kafka-meetup/events/262314643/
Speaker: Patrik Kleindl (patrik.kleindl@bearingpoint.com)
Slides of the introduction to Apache Kafka and some popular use cases.
Slides were provided by Confluent (confluent.io)
Blockchain and Kafka - A Modern Love Story | Suhavi Sandhu, Guidewire SoftwareHostedbyConfluent
After familiarizing myself with blockchain over the past couple years, I noticed a few caveats and setbacks that make blockchain a ‘not-so-ideal’ solution to record tracking in a P2P network. It’s not as scalable and it’s quite slow in a busy network. Enter Apache Kafka, with its high performance and immutable logging. In this talk, I want to explore the relationship between Blockchain and Kafka and demonstrate how the two technologies can benefit from each other. If you’re interested in the future of blockchain and love Kafka, this is definitely up your alley.
Bridge to Cloud: Using Apache Kafka to Migrate to GCPconfluent
Watch this talk here: https://www.confluent.io/online-talks/bridge-to-cloud-apache-kafka-migrate-gcp
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 Google Cloud Platform. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
Register now to learn:
-How to take the first step in migrating to GCP
-How to reliably sync your on premises applications using a persistent bridge to cloud
-How Confluent Cloud can make this daunting task simple, reliable and performant
Streamsheets and Apache Kafka – Interactively build real-time Dashboards and ...confluent
A powerful stream processing platform and an end-user friendly spreadsheet-interface, if this combination rings a bell, you should definitely attend our „Streamsheets and Apache Kafka“ webinar. While development is interactive with a web user interface, Streamsheets applications can run as mission-critical applications. They directly consume and produce event streams in Apache Kafka. One popular option is to run everything in the cloud leveraging the fully managed Confluent Cloud service on AWS, GCP or Azure. Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.
Hear Kai Waehner of Confluent and Kristian Raue of Cedalo on these topics:
• Where Apache Kafka and Streamsheets fit in the data ecosystem (Industrial IoT, Smart Energy, Clinical Applications, Finance Applications)
• Customer Story: How the Freiburg University Hospital uses Kafka and Streamsheets for dashboarding the utilization of clinical assets
• 15-Minutes Live Demonstration: Building a financial fraud detection dashboard based on Confluent Cloud, ksqlDB and Cedalo Cloud Streamsheets just using spreadsheet formulas.
Speaker:
Kai Waehner, Technology Evangelist, Confluent
Kristian Raue, Founder & Chief Technologist, cedalo
The Rise Of Event Streaming – Why Apache Kafka Changes EverythingKai Wähner
Business digitalization trends like microservices, the Internet of Things or Machine Learning are driving the need to process events at a whole new scale, speed and efficiency. Traditional solutions like ETL/data integration or messaging are not build to serve these needs.
Today, the open source project Apache Kafka® is being used by thousands of companies including over 60% of the Fortune 100 to power and innovate their businesses by focusing their data strategies around event-driven architectures leveraging event streaming.We will discuss the market and technology changes that have given rise to Kafka and to Event Streaming, and we will introduce the audience to the key aspects of building an Event streaming platform with Kafka. Examples of productive use cases from the automotive, manufacturing and transportation sector will showcase the power of event streaming.
Introducing Events and Stream Processing into Nationwide Building Societyconfluent
Watch this talk here: https://www.confluent.io/online-talks/introducing-events-and-stream-processing-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.
View now to:
-Explore the technologies used by Nationwide to meet the challenges of Open Banking
-Understand how Nationwide is using KSQL and Kafka Streams Framework to join topics and process data.
-Learn how Confluent Platform can enable enterprises such as Nationwide to embrace the event streaming paradigm
-See a working demo of the Nationwide system and what happens when the underlying infrastructure breaks.
Apache Kafka vs. Integration Middleware (MQ, ETL, ESB) - Friends, Enemies or ...confluent
Apache Kafka can act as both an enemy and a friend to traditional middleware like message queues, ETL tools, and enterprise service buses. As an enemy, Kafka replaces many of the individual components and provides a single scalable platform for messaging, storage, and processing. However, Kafka can also integrate with traditional middleware as a friend through connectors and client APIs, allowing certain use cases to still leverage existing tools. In complex environments with both new and legacy systems, Kafka acts as a "frenemy" - replacing some functions but integrating with other existing technologies to provide a bridge to new architectures.
Kai Waehner [Confluent] | Real-Time Streaming Analytics with 100,000 Cars Usi...InfluxData
Kai Waehner [Confluent] | Real-Time Streaming Analytics with 100,000 Cars Using MQTT, Kafka and InfluxDB 2.0 on Kubernetes | InfluxDays Virtual Experience London 2020
Elastically Scaling Kafka Using Confluentconfluent
This document discusses how Confluent Platform provides elastic scaling for Apache Kafka. It offers fully managed cloud services through Confluent Cloud or self-managed software. Confluent Cloud allows users to easily scale Kafka workloads from 0 MBps to GBps without complex provisioning. It also offers pay-for-use pricing where customers only pay for the data streamed, with the ability to scale to zero. For self-managed deployments, Confluent Platform enables dynamic scaling of Kafka clusters on Kubernetes through features like tiered storage and self-balancing clusters that can rebalance partitions in seconds versus hours for other Kafka services.
Apache Kafka® and Analytics in a Connected IoT Worldconfluent
Apache Kafka® and Analytics in a Connected IoT World, Kai Waehner, Sr. Solutions Engineer Advanced Technology Group, Confluent
https://www.meetup.com/Berlin-Apache-Kafka-Meetup-by-Confluent/events/273166575/
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
Work is a Stream of Applications (Audun Strand, NAV) Kafka Summit London 2019confluent
NAV handles a lot of applications for our benefits(sickness, unemployment etc.). We are rewriting the systems handling these applications to a stream based approach, placing Kafka-streams in the centre of our architecture. This talk will go through our approach to building these systems. We are mostly using Kotling as our programming language, and are running our applications on Kubernetes. We use Change-data-capture to extract data from our legacy systems, to ease the pain of migration. By treating our data, and our applications as streams we get a lot of benefits. We can rerun our applications with different rules, to simulate the effect of policy changes. We can do real time evaluation of applications, to improve the user experience. We also get better robustness, as we remove the runtime dependency to our core systems, and can receive applications even when other parts of the systems are down. The talk will also present the architecural rules we are implementing for NAV, using streams as the main communication pattern between organization units, and some learnings from our current work on a data platform to support Life is a stream of events.
The document discusses why companies should build Apache Kafka connectors. It begins with an agenda that covers what event streaming is, Kafka and connecting to Kafka, the value of building a connector, and a Q&A session. It then discusses how event streaming is enabling new business models and outcomes across many industries. The Confluent Verified Integrations Program helps partners build and verify connectors, with benefits like marketing support and a multi-vendor case management process. The presentation provides information on the verification levels (Gold for Kafka Connect API connectors, Standard for other integrations), requirements, submission process, and how Confluent can help support partners. It encourages attendees to sign up for the program or contact them with any questions.
Should we manage events like APIs? | Kim Clark, IBMHostedbyConfluent
APIs have become ubiquitous as a way of exposing the capabilities of the enterprise both internally and externally. However, are APIs alone enough? There is a strong resurgence in interest in asynchronous communication and event driven architecture. Applications want to receive events immediately so they can respond in real time, and furthermore they also want the benefit of being decoupled from the availability and performance characteristics of the systems providing that data. However, whilst the way that APIs are socialized, exposed, versioned etc. is well matured in the form of API management technology. We are now on the cusp of seeing first class support for event endpoint management to provide the same sophistication for discovering, exposing and consuming events.
Event streaming: A paradigm shift in enterprise software architectureSina Sojoodi
This talk helps developers and architects understand the benefits, opportunities and challenges in moving from traditional point-to-point integration in application architecture to one with event streaming. Apache Kafka and Spring provide a solid foundation for enterprise and large organizations to implement event streaming solutions. Examples and common patterns are covered
towards the end.
Many thanks to James Watters and all the original content authors, editors and aggregators referenced in the slides.
Modernizing your Application Architecture with Microservicesconfluent
Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. However, transitioning from a monolithic architecture based on stateful databases to truly stateless microservices can be challenging and requires the right set of solutions.
In this webinar, learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®. They will show you how to implement these solutions through a real-world demo use case of microservice adoption.
You will learn:
-How log-based change data capture (CDC) converts database tables into event streams
-How Kafka serves as the central nervous system for microservices
-How the transition to microservices can be realized without throwing away your legacy infrastructure
Bridge Your Kafka Streams to Azure Webinarconfluent
With a fully managed Apache Kafka(R) as-a-service on Microsoft Azure, businesses can focus on building applications and not managing clusters. Build a persistent bridge from on-premises data systems to the cloud with a hybrid Kafka service or stream across public clouds for multi-cloud data pipelines.
In this session for business and technical data leaders, you can learn about powering business applications with the managed Kafka service that streams data into Azure SQL Data Warehouse, Cosmos DB, Azure Data Lake Storage and Azure Blob Storage.
Apache Kafka Architectures and Fundamentalsconfluent
Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being created and open-sourced by LinkedIn in 2011, Kafka has quickly evolved from messaging queue to a full-fledged event streaming platform.
In this session Henrik Janzon, Solutions Engineer at Confluent, explains Apache Kafka’s internal design and architecture. by attending you will learn why companies like LinkedIn, ING, Dominos Pizza, Nordea, & Royal Bank of Canada are now sending trillions of messages per day to Apache Kafka. In addition you will come to understand the underlying design in Kafka that leads to such high throughput.
Apache Kafka® Use Cases for Financial Servicesconfluent
Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.
The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .
Why Kafka Works the Way It Does (And Not Some Other Way) | Tim Berglund, Conf...HostedbyConfluent
Studying the ""how"" of Kafka makes you better at using Kafka, but studying its ""whys"" makes you better at so much more. In looking at the tradeoffs behind a system like Kafka, we learn to reason more clearly about distributed systems and to make high-stakes technology adoption decisions more effectively. These are skills we all want to improve!
In this talk, we'll examine trade-offs on which our favorite distributed messaging system takes opinionated positions:
- Whether to store data contiguously or using an index
- How many storage tiers are best?
- Where should metadata live?
- And more.
It's always useful to dissect a modern distributed system with the goal of understanding it better, and it's even better to learn to deeper architectural principles in the process. Come to this talk for a generous helping of both.
Supply Chain Optimization with Apache KafkaKai Wähner
Supply Chain optimization leveraging Event Streaming with Apache Kafka. See real-world use cases and architectures from Walmart, BMW, Porsche, and other enterprises to improve the Supply Chain Management (SCM) processes. Automation, robustness, flexibility, real-time, decoupling, data integration, and hybrid deployments...
Video recording: https://youtu.be/dUkgungBmPs
Blog post: https://www.kai-waehner.de/apache-kafka-supply-chain-management-scm-optimization-scor-six-sigma-real-time
Fast Data – Fast Cars: Wie Apache Kafka die Datenwelt revolutioniertconfluent
Für die Automobilindustrie ist die digitale Transformation wie für jede andere Branche zugleich eine digitale Revolution: Neue Marktspieler, neue Technologien und die in immer größeren Mengen anfallenden Daten schaffen neue Chancen, aber auch neue Herausforderungen – und erfordern neben neuen IT-Architekturen auch völlig neue Denkansätze.
60% der Fortune500-Unternehmen setzen zur Umsetzung ihrer Daten-Streaming-Projekte auf die umfassende verteilte Streaming-Plattform Apache Kafka®, darunter auch die AUDI AG.
Erfahren Sie in diesem Webinar:
Wie Kafka als Grundlage sowohl für Daten-Pipelines als auch für Anwendungen dient, die Echtzeit-Datenströme konsumieren und verarbeiten.
Wie Kafka Connect und Kafka Streams geschäftskritische Anwendungen unterstützt
Wie Audi mithilfe von Kafka und Confluent eine Fast Data IoT-Plattform umgesetzt hat, die den Bereich „Connected Car“ revolutioniert
Sprecher:
David Schmitz, Principal Architect, Audi Electronics Venture GmbH
Kai Waehner, Technology Evangelist, Confluent
The document discusses trends in modern manufacturing, including increased use of smart technologies, customization of products for customers, and outsourcing of manufacturing. It provides examples of Oracle NetSuite customers like BigBelly Solar, which makes smart trash compactors, and Shaw Industries, which manufactures carpet and opens new plants closer to customers. The document argues that legacy manufacturing resource planning systems will not be adequate for the fourth industrial revolution and that modern manufacturers need flexible, cloud-based systems like NetSuite to support nimble operations and real-time insights.
Cloud -- The New Engine of Business InnovationDana Gardner
Transcript of a BriefingsDirect podcast on how cloud is sparking new business models and new forms of engagement with employees, customers, and suppliers.
Bridge to Cloud: Using Apache Kafka to Migrate to GCPconfluent
Watch this talk here: https://www.confluent.io/online-talks/bridge-to-cloud-apache-kafka-migrate-gcp
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 Google Cloud Platform. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
Register now to learn:
-How to take the first step in migrating to GCP
-How to reliably sync your on premises applications using a persistent bridge to cloud
-How Confluent Cloud can make this daunting task simple, reliable and performant
Streamsheets and Apache Kafka – Interactively build real-time Dashboards and ...confluent
A powerful stream processing platform and an end-user friendly spreadsheet-interface, if this combination rings a bell, you should definitely attend our „Streamsheets and Apache Kafka“ webinar. While development is interactive with a web user interface, Streamsheets applications can run as mission-critical applications. They directly consume and produce event streams in Apache Kafka. One popular option is to run everything in the cloud leveraging the fully managed Confluent Cloud service on AWS, GCP or Azure. Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.
Hear Kai Waehner of Confluent and Kristian Raue of Cedalo on these topics:
• Where Apache Kafka and Streamsheets fit in the data ecosystem (Industrial IoT, Smart Energy, Clinical Applications, Finance Applications)
• Customer Story: How the Freiburg University Hospital uses Kafka and Streamsheets for dashboarding the utilization of clinical assets
• 15-Minutes Live Demonstration: Building a financial fraud detection dashboard based on Confluent Cloud, ksqlDB and Cedalo Cloud Streamsheets just using spreadsheet formulas.
Speaker:
Kai Waehner, Technology Evangelist, Confluent
Kristian Raue, Founder & Chief Technologist, cedalo
The Rise Of Event Streaming – Why Apache Kafka Changes EverythingKai Wähner
Business digitalization trends like microservices, the Internet of Things or Machine Learning are driving the need to process events at a whole new scale, speed and efficiency. Traditional solutions like ETL/data integration or messaging are not build to serve these needs.
Today, the open source project Apache Kafka® is being used by thousands of companies including over 60% of the Fortune 100 to power and innovate their businesses by focusing their data strategies around event-driven architectures leveraging event streaming.We will discuss the market and technology changes that have given rise to Kafka and to Event Streaming, and we will introduce the audience to the key aspects of building an Event streaming platform with Kafka. Examples of productive use cases from the automotive, manufacturing and transportation sector will showcase the power of event streaming.
Introducing Events and Stream Processing into Nationwide Building Societyconfluent
Watch this talk here: https://www.confluent.io/online-talks/introducing-events-and-stream-processing-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.
View now to:
-Explore the technologies used by Nationwide to meet the challenges of Open Banking
-Understand how Nationwide is using KSQL and Kafka Streams Framework to join topics and process data.
-Learn how Confluent Platform can enable enterprises such as Nationwide to embrace the event streaming paradigm
-See a working demo of the Nationwide system and what happens when the underlying infrastructure breaks.
Apache Kafka vs. Integration Middleware (MQ, ETL, ESB) - Friends, Enemies or ...confluent
Apache Kafka can act as both an enemy and a friend to traditional middleware like message queues, ETL tools, and enterprise service buses. As an enemy, Kafka replaces many of the individual components and provides a single scalable platform for messaging, storage, and processing. However, Kafka can also integrate with traditional middleware as a friend through connectors and client APIs, allowing certain use cases to still leverage existing tools. In complex environments with both new and legacy systems, Kafka acts as a "frenemy" - replacing some functions but integrating with other existing technologies to provide a bridge to new architectures.
Kai Waehner [Confluent] | Real-Time Streaming Analytics with 100,000 Cars Usi...InfluxData
Kai Waehner [Confluent] | Real-Time Streaming Analytics with 100,000 Cars Using MQTT, Kafka and InfluxDB 2.0 on Kubernetes | InfluxDays Virtual Experience London 2020
Elastically Scaling Kafka Using Confluentconfluent
This document discusses how Confluent Platform provides elastic scaling for Apache Kafka. It offers fully managed cloud services through Confluent Cloud or self-managed software. Confluent Cloud allows users to easily scale Kafka workloads from 0 MBps to GBps without complex provisioning. It also offers pay-for-use pricing where customers only pay for the data streamed, with the ability to scale to zero. For self-managed deployments, Confluent Platform enables dynamic scaling of Kafka clusters on Kubernetes through features like tiered storage and self-balancing clusters that can rebalance partitions in seconds versus hours for other Kafka services.
Apache Kafka® and Analytics in a Connected IoT Worldconfluent
Apache Kafka® and Analytics in a Connected IoT World, Kai Waehner, Sr. Solutions Engineer Advanced Technology Group, Confluent
https://www.meetup.com/Berlin-Apache-Kafka-Meetup-by-Confluent/events/273166575/
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
Work is a Stream of Applications (Audun Strand, NAV) Kafka Summit London 2019confluent
NAV handles a lot of applications for our benefits(sickness, unemployment etc.). We are rewriting the systems handling these applications to a stream based approach, placing Kafka-streams in the centre of our architecture. This talk will go through our approach to building these systems. We are mostly using Kotling as our programming language, and are running our applications on Kubernetes. We use Change-data-capture to extract data from our legacy systems, to ease the pain of migration. By treating our data, and our applications as streams we get a lot of benefits. We can rerun our applications with different rules, to simulate the effect of policy changes. We can do real time evaluation of applications, to improve the user experience. We also get better robustness, as we remove the runtime dependency to our core systems, and can receive applications even when other parts of the systems are down. The talk will also present the architecural rules we are implementing for NAV, using streams as the main communication pattern between organization units, and some learnings from our current work on a data platform to support Life is a stream of events.
The document discusses why companies should build Apache Kafka connectors. It begins with an agenda that covers what event streaming is, Kafka and connecting to Kafka, the value of building a connector, and a Q&A session. It then discusses how event streaming is enabling new business models and outcomes across many industries. The Confluent Verified Integrations Program helps partners build and verify connectors, with benefits like marketing support and a multi-vendor case management process. The presentation provides information on the verification levels (Gold for Kafka Connect API connectors, Standard for other integrations), requirements, submission process, and how Confluent can help support partners. It encourages attendees to sign up for the program or contact them with any questions.
Should we manage events like APIs? | Kim Clark, IBMHostedbyConfluent
APIs have become ubiquitous as a way of exposing the capabilities of the enterprise both internally and externally. However, are APIs alone enough? There is a strong resurgence in interest in asynchronous communication and event driven architecture. Applications want to receive events immediately so they can respond in real time, and furthermore they also want the benefit of being decoupled from the availability and performance characteristics of the systems providing that data. However, whilst the way that APIs are socialized, exposed, versioned etc. is well matured in the form of API management technology. We are now on the cusp of seeing first class support for event endpoint management to provide the same sophistication for discovering, exposing and consuming events.
Event streaming: A paradigm shift in enterprise software architectureSina Sojoodi
This talk helps developers and architects understand the benefits, opportunities and challenges in moving from traditional point-to-point integration in application architecture to one with event streaming. Apache Kafka and Spring provide a solid foundation for enterprise and large organizations to implement event streaming solutions. Examples and common patterns are covered
towards the end.
Many thanks to James Watters and all the original content authors, editors and aggregators referenced in the slides.
Modernizing your Application Architecture with Microservicesconfluent
Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. However, transitioning from a monolithic architecture based on stateful databases to truly stateless microservices can be challenging and requires the right set of solutions.
In this webinar, learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®. They will show you how to implement these solutions through a real-world demo use case of microservice adoption.
You will learn:
-How log-based change data capture (CDC) converts database tables into event streams
-How Kafka serves as the central nervous system for microservices
-How the transition to microservices can be realized without throwing away your legacy infrastructure
Bridge Your Kafka Streams to Azure Webinarconfluent
With a fully managed Apache Kafka(R) as-a-service on Microsoft Azure, businesses can focus on building applications and not managing clusters. Build a persistent bridge from on-premises data systems to the cloud with a hybrid Kafka service or stream across public clouds for multi-cloud data pipelines.
In this session for business and technical data leaders, you can learn about powering business applications with the managed Kafka service that streams data into Azure SQL Data Warehouse, Cosmos DB, Azure Data Lake Storage and Azure Blob Storage.
Apache Kafka Architectures and Fundamentalsconfluent
Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being created and open-sourced by LinkedIn in 2011, Kafka has quickly evolved from messaging queue to a full-fledged event streaming platform.
In this session Henrik Janzon, Solutions Engineer at Confluent, explains Apache Kafka’s internal design and architecture. by attending you will learn why companies like LinkedIn, ING, Dominos Pizza, Nordea, & Royal Bank of Canada are now sending trillions of messages per day to Apache Kafka. In addition you will come to understand the underlying design in Kafka that leads to such high throughput.
Apache Kafka® Use Cases for Financial Servicesconfluent
Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.
The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .
Why Kafka Works the Way It Does (And Not Some Other Way) | Tim Berglund, Conf...HostedbyConfluent
Studying the ""how"" of Kafka makes you better at using Kafka, but studying its ""whys"" makes you better at so much more. In looking at the tradeoffs behind a system like Kafka, we learn to reason more clearly about distributed systems and to make high-stakes technology adoption decisions more effectively. These are skills we all want to improve!
In this talk, we'll examine trade-offs on which our favorite distributed messaging system takes opinionated positions:
- Whether to store data contiguously or using an index
- How many storage tiers are best?
- Where should metadata live?
- And more.
It's always useful to dissect a modern distributed system with the goal of understanding it better, and it's even better to learn to deeper architectural principles in the process. Come to this talk for a generous helping of both.
Supply Chain Optimization with Apache KafkaKai Wähner
Supply Chain optimization leveraging Event Streaming with Apache Kafka. See real-world use cases and architectures from Walmart, BMW, Porsche, and other enterprises to improve the Supply Chain Management (SCM) processes. Automation, robustness, flexibility, real-time, decoupling, data integration, and hybrid deployments...
Video recording: https://youtu.be/dUkgungBmPs
Blog post: https://www.kai-waehner.de/apache-kafka-supply-chain-management-scm-optimization-scor-six-sigma-real-time
Fast Data – Fast Cars: Wie Apache Kafka die Datenwelt revolutioniertconfluent
Für die Automobilindustrie ist die digitale Transformation wie für jede andere Branche zugleich eine digitale Revolution: Neue Marktspieler, neue Technologien und die in immer größeren Mengen anfallenden Daten schaffen neue Chancen, aber auch neue Herausforderungen – und erfordern neben neuen IT-Architekturen auch völlig neue Denkansätze.
60% der Fortune500-Unternehmen setzen zur Umsetzung ihrer Daten-Streaming-Projekte auf die umfassende verteilte Streaming-Plattform Apache Kafka®, darunter auch die AUDI AG.
Erfahren Sie in diesem Webinar:
Wie Kafka als Grundlage sowohl für Daten-Pipelines als auch für Anwendungen dient, die Echtzeit-Datenströme konsumieren und verarbeiten.
Wie Kafka Connect und Kafka Streams geschäftskritische Anwendungen unterstützt
Wie Audi mithilfe von Kafka und Confluent eine Fast Data IoT-Plattform umgesetzt hat, die den Bereich „Connected Car“ revolutioniert
Sprecher:
David Schmitz, Principal Architect, Audi Electronics Venture GmbH
Kai Waehner, Technology Evangelist, Confluent
The document discusses trends in modern manufacturing, including increased use of smart technologies, customization of products for customers, and outsourcing of manufacturing. It provides examples of Oracle NetSuite customers like BigBelly Solar, which makes smart trash compactors, and Shaw Industries, which manufactures carpet and opens new plants closer to customers. The document argues that legacy manufacturing resource planning systems will not be adequate for the fourth industrial revolution and that modern manufacturers need flexible, cloud-based systems like NetSuite to support nimble operations and real-time insights.
Cloud -- The New Engine of Business InnovationDana Gardner
Transcript of a BriefingsDirect podcast on how cloud is sparking new business models and new forms of engagement with employees, customers, and suppliers.
Using E-Commerce to Automate Your Collaborative Business TransactionsSAP Ariba
Leading sellers are using B2B e-commerce to automate their business collaborations with customers. E-commerce enables them to reduce costs associated with manual document keying, to drive up customer satisfaction through faster, more accurate response rates to customer purchase orders, and to achieve cleaner, more accurate invoices. Join this panel of leading sellers as they discuss when and how suppliers can leverage the different transactional and integration options available on the Ariba Network.
INNOVERV is a UK-based SAP and AI consulting company that helps clients transform their businesses using SAP S/4HANA Cloud and AI. It focuses on consumer, technology, life sciences, and utilities companies. INNOVERV takes a collaborative, business-led approach to transformations. It aims to provide premium consulting capabilities without the bureaucracy and commercial aggression of large firms. INNOVERV sits at the intersection of strategy consulting, the Big 4, and tech companies to fill a gap in the market for trusted and sustainable digital transformations.
The document discusses Mycronic's view on Industry 4.0 and how their solutions already enable high productivity and flexibility. It argues that simply adding monitoring and software to outdated machines does not achieve the goals of Industry 4.0. Mycronic has focused on software-driven solutions and incremental upgrades to extend flexibility and batch size one production. The document provides examples where Mycronic has significantly increased customers' productivity, stock reduction, throughput and profits. It invites readers to evaluate how Mycronic could help improve their factory efficiency.
This document provides an overview of ATOSS Software AG's financial results and business developments for 2015. It summarizes the company's annual and quarterly financial figures for 2015 compared to 2014, showing increases in total sales, software sales, consulting sales, EBIT, earnings per share, and number of employees. It also discusses ATOSS' growth over the past 10 years, international expansion, and focus on innovation through R&D investments. The interview highlights ATOSS' leadership in workforce management solutions, growth opportunities in new sectors like retail and industry 4.0, and goals to further expand internationally and target smaller businesses.
Digital Media Pack Big Data & AI World FrankfurtDaugileBuragaite
The document provides information about the Big Data & AI World Frankfurt event and digital marketing opportunities for sponsors. It summarizes the event as Germany's leading event connecting thousands of business leaders and technologists with experts and solutions to accelerate digital transformation. It outlines digital sponsorship packages that include newsletter features, webinars, and banners to reach over 11,000 industry professionals and generate new leads. Testimonials from past sponsors praise the quality of audiences and business opportunities at the event.
This document summarizes an IT consulting firm that provides end-to-end technological solutions to help customers simplify business management, accelerate change, and promote innovation. The firm has over 14 years of experience working with over 250 projects in 2014 for over 100 customers. It offers solutions based on SAP and other technologies, as well as implementation, maintenance, training, and licensing services.
Transcript of a BriefingsDirect podcast on how a major telecom company has improved its IT performance to deliver better experiences and payoffs for its businesses and end users alike.
Whitepaper channel cloud computing paper 1Ian Moyse ☁
In this first paper we shall cover
Why the cloud is i • mportant to you as a reseller
• The evolution of cloud computing
• How cloud solutions will change the channel landscape
Future of Enterprise PaaS (Cloud Foundry Summit 2014)VMware Tanzu
This document discusses the future of enterprise platforms as a service (PaaS). It notes that profound changes in areas like big data, cloud, social, and mobile technologies are transforming business models. The document advocates rethinking the future to optimize resources, use big data to advantage, and run businesses in real-time. It presents SAP's HANA platform and PaaS strategy, including SAP's expectations and contributions in supporting the Cloud Foundry open source project to help create an industry-wide ecosystem for deploying applications.
Enpersol is an enterprise performance solutions company that was started in 2016 by technocrats with over 30 years of IT industry experience. It provides various SAP-related services like implementation, upgrading, and operations management to help companies enhance their businesses. Enpersol offers services in areas like SAP, blockchain, AI, data analytics, industry 4.0, IoT, digital transformation, cloud services, and staff augmentation. It has clients in GCC countries like Saudi Arabia and serves European clients as well.
Whitepaper Channel Cloud Computing paper 1Ian Moyse ☁
This document is the first part of a four part series about reselling cloud computing solutions. It discusses how cloud computing is becoming mainstream and changing the IT landscape. It explains what cloud computing is and some of the benefits it provides to customers. It also discusses predictions that the cloud computing market will experience significant growth and why resellers need to adapt to selling cloud solutions. The document provides an overview to set the stage for the topics that will be covered in the remaining parts of the series.
GraphTour - Mastering highly distributed architecture with Neo4jNeo4j
This document discusses Amadeus, a leading technology company in the global travel industry, and its use of Neo4j and a tool called YAC to create a knowledge graph. It describes how YAC started with a rigid data model but evolved to use Neo4j as its database in order to handle increasing amounts of data, provide more flexibility and visualization. It discusses growing the knowledge graph to include more content from various sources and adjusting it for compliance with GDPR.
This document brings together a set
of latest data points and publicly
available information relevant for
IoT & AR Services Industry. We are
very excited to share this content and
believe that readers will benefit from
this periodic publication immensely
AWS Summit Berlin 2013 - Realtech - How to Determine the Economic Value of SA...AWS Germany
How can my SAP landscape be optimized safely with distributed computing so that I can meet my business needs, reduce costs, and increase value? How can I formulate hard metrics that construct a SAP optimization strategy and roadmap custom fit to my organization?.
Speaker: Chris Kohlsdorf, Managing Director, Realtech Consulting GmbH
The innovation provided by the Cloud Foundry community aligns very well with innovation occurring inside SAP, and both are gaining significant market momentum. Learn about SAP’s involvement with Cloud Foundry, its PaaS strategy built on SAP HANA Cloud Platform, and its commitment to the open source approach overall, in this 2014 Cloud Foundry Summit presentation by Dirk Basenach and Steve Winkler.
Similar to How Apache Kafka helps to create Data Culture – How to Cross the Kafka Chasm (20)
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...confluent
In our exclusive webinar, you'll learn why event-driven architecture is the key to unlocking cost efficiency, operational effectiveness, and profitability. Gain insights on how this approach differs from API-driven methods and why it's essential for your organization's success.
Santander Stream Processing with Apache Flinkconfluent
Flink is becoming the de facto standard for stream processing due to its scalability, performance, fault tolerance, and language flexibility. It supports stream processing, batch processing, and analytics through one unified system. Developers choose Flink for its robust feature set and ability to handle stream processing workloads at large scales efficiently.
Unlocking the Power of IoT: A comprehensive approach to real-time insightsconfluent
In today's data-driven world, the Internet of Things (IoT) is revolutionizing industries and unlocking new possibilities. Join Data Reply, Confluent, and Imply as we unveil a comprehensive solution for IoT that harnesses the power of real-time insights.
Workshop híbrido: Stream Processing con Flinkconfluent
El Stream processing es un requisito previo de la pila de data streaming, que impulsa aplicaciones y pipelines en tiempo real.
Permite una mayor portabilidad de datos, una utilización optimizada de recursos y una mejor experiencia del cliente al procesar flujos de datos en tiempo real.
En nuestro taller práctico híbrido, aprenderás cómo filtrar, unir y enriquecer fácilmente datos en tiempo real dentro de Confluent Cloud utilizando nuestro servicio Flink sin servidor.
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...confluent
Our talk will explore the transformative impact of integrating Confluent, HiveMQ, and SparkPlug in Industry 4.0, emphasizing the creation of a Unified Namespace.
In addition to the creation of a Unified Namespace, our webinar will also delve into Stream Governance and Scaling, highlighting how these aspects are crucial for managing complex data flows and ensuring robust, scalable IIoT-Platforms.
You will learn how to ensure data accuracy and reliability, expand your data processing capabilities, and optimize your data management processes.
Don't miss out on this opportunity to learn from industry experts and take your business to the next level.
La arquitectura impulsada por eventos (EDA) será el corazón del ecosistema de MAPFRE. Para seguir siendo competitivas, las empresas de hoy dependen cada vez más del análisis de datos en tiempo real, lo que les permite obtener información y tiempos de respuesta más rápidos. Los negocios con datos en tiempo real consisten en tomar conciencia de la situación, detectar y responder a lo que está sucediendo en el mundo ahora.
Eventos y Microservicios - Santander TechTalkconfluent
Durante esta sesión examinaremos cómo el mundo de los eventos y los microservicios se complementan y mejoran explorando cómo los patrones basados en eventos nos permiten descomponer monolitos de manera escalable, resiliente y desacoplada.
Q&A with Confluent Experts: Navigating Networking in Confluent Cloudconfluent
This document discusses networking options and best practices for Confluent Cloud. It provides an overview of public endpoints, private link, and peering options. It then discusses best practices for private networking architectures on Azure using hub-and-spoke and private link designs. Finally, it addresses networking considerations and challenges for Kafka Connect managed connectors, as well as planned enhancements for DNS peering and outbound private link support.
Purpose of the session is to have a dive into Apache, Kafka, Data Streaming and Kafka in the cloud
- Dive into Apache Kafka
- Data Streaming
- Kafka in the cloud
Build real-time streaming data pipelines to AWS with Confluentconfluent
Traditional data pipelines often face scalability issues and challenges related to cost, their monolithic design, and reliance on batch data processing. They also typically operate under the premise that all data needs to be stored in a single centralized data source before it's put to practical use. Confluent Cloud on Amazon Web Services (AWS) provides a fully managed cloud-native platform that helps you simplify the way you build real-time data flows using streaming data pipelines and Apache Kafka.
Q&A with Confluent Professional Services: Confluent Service Meshconfluent
No matter whether you are migrating your Kafka cluster to Confluent Cloud, running a cloud-hybrid environment or are in a different situation where data protection and encryption of sensitive information is required, Confluent Service Mesh allows you to transparently encrypt your data without the need to make code changes to you existing applications.
Citi Tech Talk: Event Driven Kafka Microservicesconfluent
Microservices have become a dominant architectural paradigm for building systems in the enterprise, but they are not without their tradeoffs. Learn how to build event-driven microservices with Apache Kafka
Confluent & GSI Webinars series - Session 3confluent
An in depth look at how Confluent is being used in the financial services industry. Gain an understanding of how organisations are utilising data in motion to solve common problems and gain benefits from their real time data capabilities.
It will look more deeply into some specific use cases and show how Confluent technology is used to manage costs and mitigate risks.
This session is aimed at Solutions Architects, Sales Engineers and Pre Sales, and also the more technically minded business aligned people. Whilst this is not a deeply technical session, a level of knowledge around Kafka would be helpful.
This document discusses moving to an event-driven architecture using Confluent. It begins by outlining some of the limitations of traditional messaging middleware approaches. Confluent provides benefits like stream processing, persistence, scalability and reliability while avoiding issues like lack of structure, slow consumers, and technical debt. The document then discusses how Confluent can help modernize architectures, enable new real-time use cases, and reduce costs through migration. It provides examples of how companies like Advance Auto Parts and Nord/LB have benefitted from implementing Confluent platforms.
This session will show why the old paradigm does not work and that a new approach to the data strategy needs to be taken. It aims to show how a Data Streaming Platform is integral to the evolution of a company’s data strategy and how Confluent is not just an integration layer but the central nervous system for an organisation
Vous apprendrez également à :
• Créer plus rapidement des produits et fonctionnalités à l’aide d’une suite complète de connecteurs et d’outils de gestion des flux, et à connecter vos environnements à des pipelines de données
• Protéger vos données et charges de travail les plus critiques grâce à des garanties intégrées en matière de sécurité, de gouvernance et de résilience
• Déployer Kafka à grande échelle en quelques minutes tout en réduisant les coûts et la charge opérationnelle associés
Confluent Partner Tech Talk with Synthesisconfluent
A discussion on the arduous planning process, and deep dive into the design/architectural decisions.
Learn more about the networking, RBAC strategies, the automation, and the deployment plan.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Top 9 Trends in Cybersecurity for 2024.pptxdevvsandy
Security and risk management (SRM) leaders face disruptions on technological, organizational, and human fronts. Preparation and pragmatic execution are key for dealing with these disruptions and providing the right cybersecurity program.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
How Apache Kafka helps to create Data Culture – How to Cross the Kafka Chasm
1. CROSSING THE KAFKA CHASM
GET YOUR ORGANISATION TO ADOPT EVENT-THINKING
Andreas Grütter | Head Architecture | Mobiliar
Patrick Bönzli | Co-Founder, CEO | SPOUD
2. The event-architecture vision of Mobiliar
Main challenges on our Kafka journey
A solution to scale event-thinking inside Mobiliar
WELCOME!
Andreas Grütter
Head IT + Architecture
Patrick Bönzli
Co-Founder + CEO
4. Four Levers Leading to Outstanding Results Since 2010
Profitable growth more than 800
millions Swiss francs above
market average
Nearly 314,000 new customers
gained since 2010.
Overall, around 46 % of our
policyholders recommend us to
others.
The average length of service of
Swiss Mobiliar's employees is 11
years.
Above-markt growth More customers Satisfied customers Loyal staff members
By comparison: more than all
non-life competitors together.
By comparison: Berne, Lausanne
and Neuchâtel together have around
314,000 inhabitants.
By comparison: Our competitors
are recommended by 22 % of their
customers.
Very low fluctuation rate
of around 5.5 %.
7. The World of Insurance Is Event-Driven
Our business evolves around change in the lives of our customers, their
posessions and how they interact with a changing world.
♀
9. 4 Starting Points for Event-Architecture
Synchronization
Sourcing
#event-database
Save data as a sequence
of events.
#integration-architecture
Decoupling through streams as
a pattern of integration.
#real-time-processing
Act on processed events
in real-time
#microservice
Synchronize actions between
distributed functions.
Legacy
World
Future
World
10. Challenges of an Enterprise Kafka Journey
Kafka in Production
Kafka Secured
Organisational Scaling
Transparency
+ Convenience
1
Maslov’s Pyramid of Kafka Needs
more
organisational
challenges
Kafka as a Service
Data as a Product
Stream as a Service
Growingwithpeopleanddata
11. Event-Streaming Vision of Mobiliar
Implementing event-driven architecture where business-
events are becoming the central nervous system.1
Decouple software components and teams, matching
our agile setup (>40 teams, 800 employees).2
Pioneering ‘Data as a Product’ culture in the event-
streaming subdomain.3
12. Kafka Setup in Mobiliar Today
Event-driven integration architecture
Digital
Marketplace
14. Challenges of Organisational Scaling of Kafka
How do we onboard teams to scale
event-architectures.
Without additional transparency
and clear guidelines you end up in
chaos.
15. Chasm
Innovators
Early
Adopters Early Majority Late Majority Laggards
The Kafka Chasm in Enterprises
Tech-savvy people with a
bias for new technology.
These people want
complete solutions
and convenience.
Early-Adopters love
promising new stuff
Early-Majority needs visible,
practical benefits.
17. How
Early-Adopters
perceives Kafka
How
Early-Majority
perceives Kafka
It’s a data subscription service!
How
Business
perceives Kafka
It’s data, people and use-cases!Wow, nice technology!
♀ ♀ ♂
Responsibilities
Business Cases
Producers
Producer 1
Producer 2
Kafka Cluster
Topic A
Topic B
Topic A
Partition 1
Partition 2
MSG
Position Fleet Position Stream
19. Data as a product.
We enable a
customer-oriented
view on data for a
subscription-based
technology.
20. Agoora Creates Data Customer Experience
As business I would like
to find + understand data.
As DevOps I would like to
access data in a simple way.
As DevOps I would want a high-
quality data product and service.
Simplify
access to
Data Products
Quality of
Data
and Service
Catalog
of Data
Products
for a ‘Data as a product’ culture
22. Scaling Event-Architecture in Mobiliar
We decided to integrate Agoora
To crate more transparency
To onboard teams to scale event-driven architecture
24. Transparency – “Seeing is believing”
Bridging visibility gap between business and IT. Business
knows domain, business-cases and people. And this is
how we present data.
Domain
Business Cases
Data ♀ Responsibilities
#it-architects
#business
25. Convenience and Automation
We have built convenience layers around Kafka, incrementally abstracting
technology complexity.
Raw Kafka
#it-architects
#dev-ops
Customized Adaptors
Tool Ecosystem
Agoora
Promethius
Grafana
Promethius
Schema Registry
Kubernetes
Github
Control Center
26. Agoora
Custom
Actions
Automation
Automation to build a streams as a service
Create new Kafka topic.
Request permission to consume.
Request permission to consume.
Handle failure and risks.
Agoora
Custom
ActionsCustom
Actions
Custom
Actions
#dev-ops
Custom
Actions
Custom
Actions