(Anand Phatak, Adobe) Kafka Summit SF 2018
You have data centers all over the world. You have set them up close to your customers and services. You have decentralized data handling with a network of data processing systems. The trouble is now how do you make sure your messages reach the appropriate data centers without getting into a complicated mess of dedicated topic-to-topic replication? What if your messaging bus was smart enough to figure out where to deliver each message? With Adobe’s Experience Cloud Pipeline, we have tackled this very issue.
Adobe’s Experience Cloud gives access to an integrated set of Adobe products and solutions that help Adobe’s customers to build campaigns, manage to advertise, gain profound insights and deliver personalized experiences all in near real time. To achieve this Adobe solutions must exchange data close to real time. Often data processed by the solutions need to travel across globally distributed data centers hosted on both public and private clouds.
Based on Apache Kafka, Adobe’s Experience Cloud Pipeline is a globally distributed, mission-critical messaging bus for asynchronous communication across Adobe solutions that process tens of billion messages each day. The Experience Cloud Pipeline also serves an entry point for the streaming data flowing from external systems into the Adobe Experience Cloud. Multi-data center deployment is commonplace to most large enterprises. Having a smart messaging bus that is capable of routing, filtering and enriching messages in near real time, in proximity to your solutions and customers is of paramount importance. Adobe’s Experience Cloud Pipeline demonstrates a successful large-scale deployment of such use case.
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.
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.
The Future of Application Development - API Days - Melbourne 2023confluent
This document discusses the future of application development and key topics in streaming data and AI. It begins with an overview of streaming concepts like topics, streams, and tables. It then covers the Kappa architecture for stream processing using tools like Kafka Streams, ksqlDB, and Flink. The document also discusses challenges with generative AI models like handling private data, long-term context and memory, and integration into businesses. It concludes with recommendations to simplify architectures and use streaming as smart pipes to process raw and enriched data.
The Playful Bond Between REST And Data Streamsconfluent
1. REST APIs have proliferated as a way to integrate microservices but don't meet all integration needs and can result in tight coupling between systems.
2. Using streaming data platforms like Kafka can help reduce the number of integration lines needed between systems and provides stronger delivery guarantees compared to REST APIs.
3. While REST APIs are good for synchronous requests and responses, a data streaming platform that includes both REST and streaming data capabilities can help integrate application and data systems using the best approach for different use cases and requirements.
This document discusses building a data mesh architecture using event streaming with Confluent. It begins by introducing the concept of a data mesh and its four key principles: domain ownership, treating data as a product, self-serve data platforms, and federated computational governance. It then explains how event streaming is well-suited for a data mesh approach due to properties like scalability, immutability, and support for microservices. The document outlines a practical example of domain teams managing their own data products. It emphasizes that implementing a full data mesh is a journey and recommends starting with the first principle of domain ownership. Finally, it positions Confluent as a central platform that can help coordinate domains and easily connect applications and data systems across clouds
Citi Tech Talk: Monitoring and Performanceconfluent
The objective of the engagement is for Citi to have an understanding and path forward to monitor their Confluent Platform and
- Platform Monitoring
- Maintenance and Upgrade
In this presentation, we show how Data Reply helped an Austrian fintech customer to overcome previous performance limitations in their data analytics landscape, leverage real-time pipelines, break down monoliths, and foster a self-service data culture to enable new event-driven and business-critical use cases.
Citi Tech Talk Disaster Recovery Solutions Deep Diveconfluent
This document provides an overview of disaster recovery solutions for Apache Kafka clusters. It discusses cluster linking and schema linking options for setting up synchronous or asynchronous disaster recovery between clusters. It also covers stretch clusters, which maintain one logical Kafka cluster across multiple availability zones or data centers for high availability. Different disaster recovery architectures like active-passive and active-active are explained.
Building realtime data applications that can seamlessly run and integrate data across On Prem, and multiple public cloud vendors. How Hybrid Cloud can help tackle regulatory requirements for Data Sovereignty, Stressed Exit, and operational resilience.
Partner Tech Talk Q3: Q&A with PS - Migration and Upgradeconfluent
An informative webinar on migrating and upgrading your data platform with Confluent Professional Services.
Our experts share their experience and best practices to help you successfully navigate the process.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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.
The Future of Application Development - API Days - Melbourne 2023confluent
This document discusses the future of application development and key topics in streaming data and AI. It begins with an overview of streaming concepts like topics, streams, and tables. It then covers the Kappa architecture for stream processing using tools like Kafka Streams, ksqlDB, and Flink. The document also discusses challenges with generative AI models like handling private data, long-term context and memory, and integration into businesses. It concludes with recommendations to simplify architectures and use streaming as smart pipes to process raw and enriched data.
The Playful Bond Between REST And Data Streamsconfluent
1. REST APIs have proliferated as a way to integrate microservices but don't meet all integration needs and can result in tight coupling between systems.
2. Using streaming data platforms like Kafka can help reduce the number of integration lines needed between systems and provides stronger delivery guarantees compared to REST APIs.
3. While REST APIs are good for synchronous requests and responses, a data streaming platform that includes both REST and streaming data capabilities can help integrate application and data systems using the best approach for different use cases and requirements.
This document discusses building a data mesh architecture using event streaming with Confluent. It begins by introducing the concept of a data mesh and its four key principles: domain ownership, treating data as a product, self-serve data platforms, and federated computational governance. It then explains how event streaming is well-suited for a data mesh approach due to properties like scalability, immutability, and support for microservices. The document outlines a practical example of domain teams managing their own data products. It emphasizes that implementing a full data mesh is a journey and recommends starting with the first principle of domain ownership. Finally, it positions Confluent as a central platform that can help coordinate domains and easily connect applications and data systems across clouds
Citi Tech Talk: Monitoring and Performanceconfluent
The objective of the engagement is for Citi to have an understanding and path forward to monitor their Confluent Platform and
- Platform Monitoring
- Maintenance and Upgrade
In this presentation, we show how Data Reply helped an Austrian fintech customer to overcome previous performance limitations in their data analytics landscape, leverage real-time pipelines, break down monoliths, and foster a self-service data culture to enable new event-driven and business-critical use cases.
Citi Tech Talk Disaster Recovery Solutions Deep Diveconfluent
This document provides an overview of disaster recovery solutions for Apache Kafka clusters. It discusses cluster linking and schema linking options for setting up synchronous or asynchronous disaster recovery between clusters. It also covers stretch clusters, which maintain one logical Kafka cluster across multiple availability zones or data centers for high availability. Different disaster recovery architectures like active-passive and active-active are explained.
Building realtime data applications that can seamlessly run and integrate data across On Prem, and multiple public cloud vendors. How Hybrid Cloud can help tackle regulatory requirements for Data Sovereignty, Stressed Exit, and operational resilience.
Partner Tech Talk Q3: Q&A with PS - Migration and Upgradeconfluent
An informative webinar on migrating and upgrading your data platform with Confluent Professional Services.
Our experts share their experience and best practices to help you successfully navigate the process.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.