Learn how the Mayr-Melnhof Group implemented production process visualization in a highly automated and fragmented industrial, process-control environment with the Elastic Stack.
Elastic on a Hyper-Converged Infrastructure for Operational Log AnalyticsElasticsearch
Learn how IHG runs Elastic on a hyper-converged infrastructure, processes more than 8 TB of data every day for operational log analytics, and maintains Kibana dashboards for more than 300 applications.
TV 2 is one of the largest streaming service in Norway. Learn how they have built both a customer-focused company culture and our an analytics platform using the Elastic Stack.
Capgemini: Observability within the Dutch governmentElasticsearch
The digital landscape within Dutch government is a complex and heterogeneous mix of technologies. Within this scenario, Capgemini is tasked with continuous integration and maintenance of key infrastructure. The results connect major organizational parts of the country with a large volume of daily traffic. To keep the lights on in operation and allow for quick turn-around times, Elastic is the dominant choice for generating reliable insight. It facilitates a thorough insight into the inner workings of modern amalgamated java deployments, databases and legacy systems spanning a multitude of decades.
CSX: Real-time Business Discovery with the Elastic StackElasticsearch
CSX technology is a company invested in democratizing data for enterprise users. Discover how CSX is leveraging the Elastic Stack to create a better, shared understanding with their business partners.
How KeyBank Used Elastic to Build an Enterprise Monitoring SolutionElasticsearch
KeyBank is using an iterative design approach to scale their end-to-end enterprise monitoring system with Kafka and Elasticsearch at its core. See how they did it and the lessons learned along the way.
InfoTrack: Creating a single source of truth with the Elastic StackElasticsearch
Ashim Joshi, Head of Innovation at InfoTrack, will discuss how the Elasticsearch Service helped tackle a variety of uses cases at Infotrack, like building a data-lake, and architecting a data-mart layer.
See the video: https://www.elastic.co/elasticon/tour/2019/sydney/infotrack-creating-a-single-source-of-truth-with-the-elastic-stack
Elastic Cloud Enterprise in Azure with DevonElasticsearch
Devon Energy is a leading independent oil and natural gas exploration and production company. Hear about their journey to augment and eventually replace their legacy SIEM solution with a homegrown analytics and automation platform. See the details of moving from using on-prem open source Elasticsearch to being the first ever user to run Elastic Cloud Enterprise in Azure. Plus, learn how the team uses Elasticsearch optimizations in their security telemetry pipeline, hear about cloud native deployment models, and see how the Logstash transform functions and using Kibana as frontend for security and operational logs have helped deliver big wins.
Elastic on a Hyper-Converged Infrastructure for Operational Log AnalyticsElasticsearch
Learn how IHG runs Elastic on a hyper-converged infrastructure, processes more than 8 TB of data every day for operational log analytics, and maintains Kibana dashboards for more than 300 applications.
TV 2 is one of the largest streaming service in Norway. Learn how they have built both a customer-focused company culture and our an analytics platform using the Elastic Stack.
Capgemini: Observability within the Dutch governmentElasticsearch
The digital landscape within Dutch government is a complex and heterogeneous mix of technologies. Within this scenario, Capgemini is tasked with continuous integration and maintenance of key infrastructure. The results connect major organizational parts of the country with a large volume of daily traffic. To keep the lights on in operation and allow for quick turn-around times, Elastic is the dominant choice for generating reliable insight. It facilitates a thorough insight into the inner workings of modern amalgamated java deployments, databases and legacy systems spanning a multitude of decades.
CSX: Real-time Business Discovery with the Elastic StackElasticsearch
CSX technology is a company invested in democratizing data for enterprise users. Discover how CSX is leveraging the Elastic Stack to create a better, shared understanding with their business partners.
How KeyBank Used Elastic to Build an Enterprise Monitoring SolutionElasticsearch
KeyBank is using an iterative design approach to scale their end-to-end enterprise monitoring system with Kafka and Elasticsearch at its core. See how they did it and the lessons learned along the way.
InfoTrack: Creating a single source of truth with the Elastic StackElasticsearch
Ashim Joshi, Head of Innovation at InfoTrack, will discuss how the Elasticsearch Service helped tackle a variety of uses cases at Infotrack, like building a data-lake, and architecting a data-mart layer.
See the video: https://www.elastic.co/elasticon/tour/2019/sydney/infotrack-creating-a-single-source-of-truth-with-the-elastic-stack
Elastic Cloud Enterprise in Azure with DevonElasticsearch
Devon Energy is a leading independent oil and natural gas exploration and production company. Hear about their journey to augment and eventually replace their legacy SIEM solution with a homegrown analytics and automation platform. See the details of moving from using on-prem open source Elasticsearch to being the first ever user to run Elastic Cloud Enterprise in Azure. Plus, learn how the team uses Elasticsearch optimizations in their security telemetry pipeline, hear about cloud native deployment models, and see how the Logstash transform functions and using Kibana as frontend for security and operational logs have helped deliver big wins.
Hear how Cisco runs ECE in production on Cisco UCS Integrated Infrastructure and learn about the configurations that help them index 3 billion documents each day at a rate of ~400K docs per second using Apache Spark.
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)Spark Summit
More data is being created than ever before and the rate at which it is being created is not slowing. This means that new techniques are being developed and used to tackle big data challenges. At Nielsen, big data means opportunities for new products like digital measurement, but also exposed a skills gap for dealing with big data. This session will cover Nielsen’s successful implementation of Spark and Databricks which has allowed Nielsen to scale its products and its Data Scientists’ skillsets.
How eStruxture Data Centers is Using ECE to Rapidly Scale Their BusinessElasticsearch
See how Elastic is helping eStruxture unify millions of divergent data points, transforming them into human readable and actionable items, and helping eStruxture build a new model for alarming and alerting. Watch video: https://www.elastic.co/elasticon/tour/2019/toronto/how-estruxture-data-centers-is-using-ece-to-rapidly-scale-their-business
Get full visibility and find hidden security issuesElasticsearch
Learn key practices in data collection and normalization to expand visibility into your environment. See how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Achieving cyber mission assurance with near real-time impactElasticsearch
See how Elastic and ECS support the Mission Assurance Decision Support System (MADSS) program for the Navy with observability, data enrichment, and powerful search in a containerized environment. By correlating data from diverse sources using web-based services and secure, automated data transformation services, MADSS improves responsiveness, predictions, and event analysis for critical network and infrastructure outages.
Using Azure Databricks, Structured Streaming, and Deep Learning Pipelines to ...Databricks
Renewables AI is at the forefront of innovation in the solar energy market. As the name suggests, we use AI to make predictions on energy output from large portfolios of solar farms. This talk lays out the fundamental architecture, technology and approaches that make the platform work beginning with key features of the Azure Databricks cloud and how it works seamlessly with Azure Data Lake and Azure Event Hubs. There will be good coverage of ML and DL Pipelines and how they are used with image recognition and machine learning through Structured Streaming to make real-time decisions.
Key Takeaways: Prediction of next day irradiance and power ratios with real-time accuracies of 95% Structured streaming of IoT data from hundreds of thousands of inverters at 5 minute intervals Real-time joining of weather data and several other external datasets Use of Deep Learning Pipelines and advanced time series methods to predict 48 hours of future energy production Near-real time processing of image data at frequent intervals to predict cloud cover from onsite cameras and drones Analysis of data and preventative maintenance of fan failures in solar inverters
Security Events Logging at Bell with the Elastic StackElasticsearch
One of Canada’s largest telecommunications company is using Elastic to drive improved security analysis in their SOC. With a need to ingest all security logs, build threat detection models, and normalize many new types of logs, the Bell security team turned to Elastic. Learn how they’ve streamlined alerts, deepened log analysis, and addressed challenges unique to being an ISP.
Machine Learning for Anomaly Detection, Time Series Modeling, and MoreElasticsearch
Not a data scientist? You can still use Elastic machine learning to build real-time data models. See how time series modeling streamlines anomaly detection and forecasting, and preview future features.
With the growth of machine and agronomic telematics applications, the teams at John Deere have been on a journey to scale up their Elasticsearch use cases. Learn how they handled the transition and see how they plan to expand to log management, metrics analytics, and other new and exciting initiatives with ECE.
The Protein Regulatory Networks of COVID-19 - A Knowledge Graph Created by El...Neo4j
Shobhna Srivastava discusses Elsevier's Research Citation network. She talks about how the journey of trying to simplify the existing data processing pipeline, to optimise costs, and choose the right solution to the problem opens the doors to other potential use cases and innovation. Graph technology has been applied to the scientific research domain to enhance content discovery.
Logging, indicateurs et APM : le trio gagnant pour des opérations réussiesElasticsearch
https://www.elastic.co/elasticon/tour/2019/paris/logging-metrics-and-apm-the-operations-trifecta
Pour une meilleure visibilité opérationnelle, centralisez les logs, les indicateurs et, désormais, les données APM. Découvrez comment Elasticsearch regroupe efficacement ces types de données au même endroit. De même, découvrez comment utiliser Kibana pour rechercher des logs, analyser des indicateurs et exploiter les fonctionnalités APM afin de mieux surveiller les performances et de résoudre les problèmes plus rapidement.
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...Elasticsearch
AmericanAncestors.org provides one of the leading online genealogical research sites in the industry. They offer users real-time search and access across more than 1.4 billion names to their 250,000 members around the world. Learn how the team at the New England Historic Genealogical Society have evolved from a very early on-premise Elastic implementation to taking full advantage of Elasticsearch Service. Hear about the challenges they encountered and design changes they made to maximize performance, as well as how they leveraged the skills of the Elastic support team to deliver a highly scalable service with minimal overhead.
Centralized logging in a changing environment at the UK’s DVLAElasticsearch
The UK's Driver and Vehicle Licensing Agency (DVLA) maintains more than 80 million driver and vehicle records and collects billions a year in Vehicle Excise Duty. Hear how Elastic plays a critical role in the agency’s self-service developer platform that runs alongside Kubernetes and leverages machine learning and alerting capabilities. You’ll also learn about their migration to Elastic Cloud and their goals for SIEM.
The Elastic Evolution of CenturyLink’s Network Management SystemElasticsearch
Advances in technology are enabling a data and information revolution, and managing the network that moves all that data requires the right technology stack. It’s all about finding the right data at the right time for CenturyLink, creators of one of the largest networks in the world. See how CenturyLink has evolved their Network Management System and how Elastic plays a big part in their evolving platform. Learn how they address issues like volume, variety, and velocity of data being generated by disparate network devices and how they are creating simple yet scalable solutions to find the right data at the right time.
Countering Threats with the Elastic Stack at CERDEC/ARLElasticsearch
See how the CERDEC/ARL leverages the Elastic Stack to gain critical insights into activities and trends among the networks they cover and enables research into new methods of protecting our nation’s defenses.
Architecting a Modern Data Warehouse: Enterprise Must-HavesYellowbrick Data
The goal of modern data warehousing is to not only deliver insights faster to more users, but provide a richer picture of your operations afforded by a greater volume and variety of data for analysis.
This presentation from a Database Trends and Applications webcast will educate IT decision makers and data warehousing professionals about the must-have capabilities for modern data warehousing today – how they work and how best to use them.
Hear how Cisco runs ECE in production on Cisco UCS Integrated Infrastructure and learn about the configurations that help them index 3 billion documents each day at a rate of ~400K docs per second using Apache Spark.
Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)Spark Summit
More data is being created than ever before and the rate at which it is being created is not slowing. This means that new techniques are being developed and used to tackle big data challenges. At Nielsen, big data means opportunities for new products like digital measurement, but also exposed a skills gap for dealing with big data. This session will cover Nielsen’s successful implementation of Spark and Databricks which has allowed Nielsen to scale its products and its Data Scientists’ skillsets.
How eStruxture Data Centers is Using ECE to Rapidly Scale Their BusinessElasticsearch
See how Elastic is helping eStruxture unify millions of divergent data points, transforming them into human readable and actionable items, and helping eStruxture build a new model for alarming and alerting. Watch video: https://www.elastic.co/elasticon/tour/2019/toronto/how-estruxture-data-centers-is-using-ece-to-rapidly-scale-their-business
Get full visibility and find hidden security issuesElasticsearch
Learn key practices in data collection and normalization to expand visibility into your environment. See how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Achieving cyber mission assurance with near real-time impactElasticsearch
See how Elastic and ECS support the Mission Assurance Decision Support System (MADSS) program for the Navy with observability, data enrichment, and powerful search in a containerized environment. By correlating data from diverse sources using web-based services and secure, automated data transformation services, MADSS improves responsiveness, predictions, and event analysis for critical network and infrastructure outages.
Using Azure Databricks, Structured Streaming, and Deep Learning Pipelines to ...Databricks
Renewables AI is at the forefront of innovation in the solar energy market. As the name suggests, we use AI to make predictions on energy output from large portfolios of solar farms. This talk lays out the fundamental architecture, technology and approaches that make the platform work beginning with key features of the Azure Databricks cloud and how it works seamlessly with Azure Data Lake and Azure Event Hubs. There will be good coverage of ML and DL Pipelines and how they are used with image recognition and machine learning through Structured Streaming to make real-time decisions.
Key Takeaways: Prediction of next day irradiance and power ratios with real-time accuracies of 95% Structured streaming of IoT data from hundreds of thousands of inverters at 5 minute intervals Real-time joining of weather data and several other external datasets Use of Deep Learning Pipelines and advanced time series methods to predict 48 hours of future energy production Near-real time processing of image data at frequent intervals to predict cloud cover from onsite cameras and drones Analysis of data and preventative maintenance of fan failures in solar inverters
Security Events Logging at Bell with the Elastic StackElasticsearch
One of Canada’s largest telecommunications company is using Elastic to drive improved security analysis in their SOC. With a need to ingest all security logs, build threat detection models, and normalize many new types of logs, the Bell security team turned to Elastic. Learn how they’ve streamlined alerts, deepened log analysis, and addressed challenges unique to being an ISP.
Machine Learning for Anomaly Detection, Time Series Modeling, and MoreElasticsearch
Not a data scientist? You can still use Elastic machine learning to build real-time data models. See how time series modeling streamlines anomaly detection and forecasting, and preview future features.
With the growth of machine and agronomic telematics applications, the teams at John Deere have been on a journey to scale up their Elasticsearch use cases. Learn how they handled the transition and see how they plan to expand to log management, metrics analytics, and other new and exciting initiatives with ECE.
The Protein Regulatory Networks of COVID-19 - A Knowledge Graph Created by El...Neo4j
Shobhna Srivastava discusses Elsevier's Research Citation network. She talks about how the journey of trying to simplify the existing data processing pipeline, to optimise costs, and choose the right solution to the problem opens the doors to other potential use cases and innovation. Graph technology has been applied to the scientific research domain to enhance content discovery.
Logging, indicateurs et APM : le trio gagnant pour des opérations réussiesElasticsearch
https://www.elastic.co/elasticon/tour/2019/paris/logging-metrics-and-apm-the-operations-trifecta
Pour une meilleure visibilité opérationnelle, centralisez les logs, les indicateurs et, désormais, les données APM. Découvrez comment Elasticsearch regroupe efficacement ces types de données au même endroit. De même, découvrez comment utiliser Kibana pour rechercher des logs, analyser des indicateurs et exploiter les fonctionnalités APM afin de mieux surveiller les performances et de résoudre les problèmes plus rapidement.
American Ancestors Use Case - Scalability & Support Using the Elasticsearch S...Elasticsearch
AmericanAncestors.org provides one of the leading online genealogical research sites in the industry. They offer users real-time search and access across more than 1.4 billion names to their 250,000 members around the world. Learn how the team at the New England Historic Genealogical Society have evolved from a very early on-premise Elastic implementation to taking full advantage of Elasticsearch Service. Hear about the challenges they encountered and design changes they made to maximize performance, as well as how they leveraged the skills of the Elastic support team to deliver a highly scalable service with minimal overhead.
Centralized logging in a changing environment at the UK’s DVLAElasticsearch
The UK's Driver and Vehicle Licensing Agency (DVLA) maintains more than 80 million driver and vehicle records and collects billions a year in Vehicle Excise Duty. Hear how Elastic plays a critical role in the agency’s self-service developer platform that runs alongside Kubernetes and leverages machine learning and alerting capabilities. You’ll also learn about their migration to Elastic Cloud and their goals for SIEM.
The Elastic Evolution of CenturyLink’s Network Management SystemElasticsearch
Advances in technology are enabling a data and information revolution, and managing the network that moves all that data requires the right technology stack. It’s all about finding the right data at the right time for CenturyLink, creators of one of the largest networks in the world. See how CenturyLink has evolved their Network Management System and how Elastic plays a big part in their evolving platform. Learn how they address issues like volume, variety, and velocity of data being generated by disparate network devices and how they are creating simple yet scalable solutions to find the right data at the right time.
Countering Threats with the Elastic Stack at CERDEC/ARLElasticsearch
See how the CERDEC/ARL leverages the Elastic Stack to gain critical insights into activities and trends among the networks they cover and enables research into new methods of protecting our nation’s defenses.
Architecting a Modern Data Warehouse: Enterprise Must-HavesYellowbrick Data
The goal of modern data warehousing is to not only deliver insights faster to more users, but provide a richer picture of your operations afforded by a greater volume and variety of data for analysis.
This presentation from a Database Trends and Applications webcast will educate IT decision makers and data warehousing professionals about the must-have capabilities for modern data warehousing today – how they work and how best to use them.
Why Your Data Science Architecture Should Include a Data Virtualization Tool ...Denodo
Watch full webinar here: https://bit.ly/35FUn32
Presented at CDAO New Zealand
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists.
However, most architecture laid out to enable data scientists miss two key challenges:
- Data scientists spend most of their time looking for the right data and massaging it into a usable format
- Results and algorithms created by data scientists often stay out of the reach of regular data analysts and business users
Watch this session on-demand to understand how data virtualization offers an alternative to address these issues and can accelerate data acquisition and massaging. And a customer story on the use of Machine Learning with data virtualization.
Big Data is an emerging technology in Information Management that holds promising returns on investment, as it can provide advanced analytics capabilities. It is well suited for large enterprises, and when used properly, it can lead to breakthroughs in analytics, deriving information from data that was previously not possible. However, a Big Data project cannot be approached using traditional IT system design and methods. Its success relies on teamwork and collaboration among petroleum engineering subject matter experts, senior IT professionals, and data scientists. To ensure that Big Data initiatives do not deliver poor results or disappoint, Big Data projects require significant preparation, which dramatically increases the chances of success. This presentation provides practical information about how to get started and what to consider in your plan, and it gives useful tips and examples for planning and executing a Big Data project. At the end of the presentation, attendees will know what Big Data is, what it offers, how to plan such projects, what the roles and responsibilities are for the key project members, and how these projects should be implemented to benefit their organization. Big Data analytics offers enterprises a chance to move beyond simply gathering data to analyzing, mining, and correlating results for insights that translate into business solutions.
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...Santiago Cabrera-Naranjo
When talking about how the future of Big Data will look like, this conversation often turns straight to Artificial Intelligence and Deep Learning. However, today data science is all too often a process where new insights and models get developed as a one-time effort or deployed to production on an ad-hoc basis i.e. they commonly require regular babysitting for monitoring and updating.
According to Gartner, the number of useless Data Lakes will be of 90% in 2018. Furthermore, only 15% of Big Data Products are mature enough to be deployed into Production - Who is responsible to make Big Data successful and Business relevant within an enterprise?
Introduction of streaming data, difference between batch processing and stream processing, Research issues in streaming data processing, Performance evaluation metrics , tools for stream processing.
How Data Virtualization Puts Enterprise Machine Learning Programs into Produc...Denodo
Watch full webinar here: https://bit.ly/3offv7G
Presented at AI Live APAC
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this on-demand session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.
Research Problem Presentation - Research in Supply Chain Digital TwinsArwa Abougharib
Slide deck prepared for a post-graduate course ' ESM 600 - Research Methodology', introducing the research problem, aim, and objectives.
Program: Masters in Engineering Systems Management
Affiliation: American University of Sharjah, College of Engineering, Department of Industrial Engineering
The challenges of Analytical Data Management in R&DLaura Berry
Presented at the Global Pharma R&D Informatics Congress. To find out more, visit:
www.global-engage.com
Analytical data is at the heart of pharmaceutical research, yet many organisations struggle with the variety of different formats, instrument vendors, and search and retrieval of data. In this presentation, Hans de Bie from ACD/Labs discusses automated capture, exchange formats, integrity, and next generation management systems.
The case for 3D printing in the Always-On supply chainMarc-Andre Leger
Case 10-1 in the course book: Turban, Efraim. INFORMATION TECHNOLOGY FOR MANAGEMENT: On-Demand Strategies for Performance, Growth and Sustainability. Eleventh Edition. WILEY, 2018.
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Eze Castle Integration is a managed service provider (MSP), cloud service provider (CSP), and internet service provider (ISP) that delivers services to more than 1,000 clients around the world. Different departments within Eze Castle have devised their own log aggregation solutions in order to provide visibility, meet regulatory compliance requirements, conduct cybersecurity investigations, and help engineers with troubleshooting infrastructure issues. In 2019, they partnered with Elastic to consolidate the data generated from different systems into a single pane of glass. And thanks to the ease of deployment on Elastic Cloud, professional consultation services from Elastic engineers, and on-demand training courses available on Elastic Learning, Eze Castle was able to go from proof-of-concept to a fully functioning ""Eze Managed SIEM"" product within a month!
Learn about Eze Castle's journey with Elastic and how they grew Eze Managed SIEM from zero to 100 customers In less than 14 months.
Cómo crear excelentes experiencias de búsqueda en sitios webElasticsearch
Descubre lo fácil que es crear búsquedas relevantes y enriquecidas en sitios web de cara al público para impulsar las conversiones, incrementar el consumo de contenido y ayudar a los visitantes a encontrar lo que necesitan. Realiza un recorrido por las herramientas de Elastic a las que puedes sacar partido para transformar con facilidad tu sitio web, lo que incluye nuestro nuevo y potente rastreador web.
Te damos la bienvenida a una nueva forma de realizar búsquedas Elasticsearch
Al igual que la mayoría de las organizaciones modernas, tus equipos probablemente usan más de 10 aplicaciones basadas en la nube a diario, pero dedican demasiado tiempo a buscar la información que necesitan en todas estas. Gracias a las características integradas de Elastic Workplace Search, podrás comprobar lo sencillo que resulta poner el contenido relevante al alcance de tus equipos gracias a la búsqueda unificada para todas las aplicaciones que usan para llevar a cabo su trabajo.
Tirez pleinement parti d'Elastic grâce à Elastic CloudElasticsearch
Découvrez pourquoi Elastic Cloud est la solution idéale pour exploiter toutes les offres d'Elastic. Bénéficiez d'une flexibilité d'achat et de déploiement au sein de Google Cloud, de Microsoft Azure, d'Amazon Web Services ou des trois à la fois. Apprenez quels avantages vous apporte une offre de service géré et déterminez la solution qui vous permet de la gérer par vous-même grâce à des outils intégrés d'automatisation et d'orchestration. Et ce n'est pas tout ! Familiarisez-vous avec les fonctionnalités qui peuvent vous aider à scaler vos opérations au fur et à mesure de l'évolution de votre déploiement, à stocker vos données d'une manière rentable et à optimiser vos recherches. Ainsi, vous n'aurez plus à abandonner de données et obtiendrez les informations exploitables dont vous avez besoin pour assurer le fonctionnement de votre entreprise.
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Plongez au cœur de la recherche dans tous ses états.Elasticsearch
À l'instar de la plupart des entreprises modernes, vos équipes utilisent probablement plus de 10 applications hébergées dans le cloud chaque jour, mais passent aussi bien trop de temps à chercher les informations dont elles ont besoin dans ces outils. Grâce aux fonctionnalités prêtes à l'emploi d'Elastic Workplace Search, découvrez combien il est facile de mettre le contenu pertinent à portée de la main de vos équipes grâce à une recherche unifiée sur l'ensemble des applications qu'elles utilisent pour faire leur travail.
Modernising One Legal Se@rch with Elastic Enterprise Search [Customer Story]Elasticsearch
Knowledge management needs in the legal sector, why Linklaters decided to move away from its legacy KM search engine, Kin+Carta's management of the migration process, and how the switch revitalised a well-established system and opened up new possibilities for its future development.
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Like most modern organizations, your teams are likely using upwards of 10 cloud-based applications on a daily basis, but spending far too many hours a day searching for the information they need across all of them. With the out-of-the-box capabilities of Elastic Workplace Search, see how easy it is to put relevant content right at your teams’ fingertips with unified search across all the apps they rely on to get work done.
Building great website search experiencesElasticsearch
Discover how easy it is to create rich, relevant search on public facing websites that drives conversion, increases content consumption, and helps visitors find what they need. Get a tour of the Elastic tools you can leverage to easily transform your website, including our powerful new web crawler.
Keynote: Harnessing the power of Elasticsearch for simplified searchElasticsearch
Get an overview of the innovation Elastic is bringing to the Enterprise Search landscape, and learn how you can harness these capabilities across your technology landscape to make the power of search work for you.
Cómo transformar los datos en análisis con los que tomar decisionesElasticsearch
Descubre las áreas de características estratégicas de Elastic Stack: Elasticsearch, un motor de datos inigualable y Kibana, la ventana que da acceso a Elastic Stack.
En la sesión hablaremos sobre:
Cómo incorporar datos a Elastic Stack
Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
Explore relève les défis Big Data avec Elastic Cloud Elasticsearch
Spécialisée dans le développement et la gestion de solutions de veille documentaire et commerciale, Explore offre à ses clients une lecture précise et organisée de l’actualités des marchés et projets sur leurs territoires d'intervention. Afin de rendre leur offre plus agile et performante, Explore a choisi l’offre Elastic Cloud hébergée sur Microsoft Azure. Découvrez comment les équipes de production et de développement sont désormais en mesure de mieux exploiter les données pour les clients d’Explore et gagnent du temps sur la gestion de leur infrastructure.
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Transforming data into actionable insightsElasticsearch
Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
Bringing data into the Elastic Stack
Storing data
Analyzing data
Acting on data
"Elastic enables the world’s leading organization to exceed their business objectives and power their mission-critical systems by eliminating data silos, connecting the dots, and transforming data of all types into actionable insights.
Come learn how the power of search can help you quickly surface relevant insights at scale. Whether you are an executive looking to reduce operational costs, a department head striving to do more with fewer tools, or engineer monitoring and protecting your IT environment, this session is for you. "
Empowering agencies using Elastic as a Service inside GovernmentElasticsearch
It has now been four years since the beta release of Elastic Cloud Enterprise which kicked off a wave of the Elastic public sector community running Elastic as a service within Government rather than utilizing purely hosted solutions. Fast forward to 2021 and we have multiple options for multiple mission needs. Learn top tips from Elastic architects and their experience enabling their teams with the automation and provisioning of Elastic tech to change the game in how government delivers solutions.
The opportunities and challenges of data for public goodElasticsearch
Data is an increasingly valuable resource for delivering economic and social benefit. Heather will discuss the challenges and opportunities, and how communities at all levels of the public sector can play a part in leading the change.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Industrial production process visualization with the Elastic Stack in real-time at MM Karton
1. 1
Industrial Production Process Visualization
with the Elastic Stack in Real-time at MM
Karton
Stephan Hampe
Jürgen Kerner
October, 30, 2018
2. 2
Agenda
• Introduction & context of the project
• Finding the right technology
• Use case presentation
• Conclusion & next steps
3. 3
It would be really great to see the
usage of all the relevant materials
and chemicals from production in
one dashboard, if possible in near
real-time!
Stephan Hampe, Technologist, MM Karton
6. 6
Let’s talk about machines
What technologists have in mind – board making machine
7. 7
Let’s talk about machines
What technologists have in mind – board winder
8. 8
Let’s talk about machines
What technologists have in mind – cross cutting machine
9. 9
Let’s talk about machines
What technologists have in mind – printing machine
10. 10
Let’s talk about machines
What technologists have in mind – die cutting machine
11. 11
Let’s talk about machines
What technologists have in mind – gluing machine
12. 12
Glossary
Common standards in IT and OT field
IT OT
Cables Twisted pair copper, fiber Twisted pair copper, fiber
Connectors RJ45, ST, LC, … RJ45, ST, LC, …
Protocols TCP, UDP, ICMP, … ModbusTCP, Profinet, …
Messaging protocols JSON, REST, SOAP, XMPP,…
OPC-DA, OPC-UA, MQTT, Modbus,
Profibus,..
Standard MTU 1500 bytes up to 255 bytes
Standard latency < 3ms ~ 50µs
Standard speeds 1-40 Gbit/s 2-100 Mbit/s
13. 13
WE JUST NEED TO BUY A SYSTEM
WHERE ALL DATA COMES IN AND
ML, AI AND DEEP LEARNING DOES
THE REST
14. 14
Data heat cycle
Predict
Optimize
Empower
EmbedDiscover
Trust
Describe
Find available data and
check if there is value
in my data?
Can I trust
my data?
What happened
and why?
What might
happen next?
What is the right conclusion
for your business?
Is insight being delivered
to the right people at the
right time?
How do you embed the new data
analytics knowledge to your
organization?
Start
Source: PWC
How it should be
15. 15
Data heat cycle
Predict
Optimize
Empower
EmbedDiscover
Trust
Describe
Find available data and
check if there is value
in my data?
Can I trust
my data?
What happened
and why?
What might
happen next?
What is the right conclusion
for your business?
Is insight being delivered
to the right people at the
right time?
How do you embed the new data
analytics knowledge to your
organization?
Start
Source: PWC
Where most approaches stop
Still valid and
usefull
16. 16
Elastic Stack journey of MM
Okt.
2016
Apr.
2017
Mai
2017
Nov
2017
Start with basic
license features
Switch to platinum
license features
Implementation of IT
use cases. Mainly
logging
Start of Business
Use Case –
Production process
visualization
Mar.
2018
Finished
Development
of Business Use
Case
17. 17
Why MM chose Elastic Stack?
• Open code
• Right to contribute
• Speed of development from Elastic
• Same stack across the group in different editions
‒ Production locations basic subscription license features
‒ Corporate IT platinum subscription license features
‒ No additional effort when migrating projects to Corporate IT
• Kibana
‒ Ease of use for not yet IT affine people (like electrical-, automation-, maintenance
engineers)
18. 18
Why MM chose Elastic Stack?
• Specific trainings for target user groups
‒ IT Elastic Search Engineer
‒ BI Elastic Stack Data Administration
‒ Production Kibana
• Sufficient feature set for production in one tool
• Nice UX across user groups
• Performance
20. 20
Board making
Stock-
Preparation
Approach-
Flow
Board
Machine
• “treat the fiber”
• Chemical pulp
• Mechanical pulp
• Other fiber qualities
• “mix them together!”
• Fibers/pulp
• Additives
• Chemicals
• “build the board!”
• 3 different fiber layers
• 2 surface applications
• 3 coating layers
21. 21
Sensors and relevant process data
Stock-
Preparation
Approach-
Flow
Board
Machine
• Flows
• Consistencies
• Flows
• Consistencies
• Speeds
• I/O´s (BM condition)
22. 22
From 4-20mA to hard facts
DigitalTwin
Mass balance
&
Virtual board
structure
Controlling/BI
Recipes
&
Production data
Visualization
DashBoard
with
KIBANA
23. 23
Why?
Responsible use of resources
Recipe
Grade
change
Process
stability
inventory
30 day´s
1 hour
---
“traditional situation”
24. 24
Why?
Responsible use of resources
Recipe
Grade
change
Process
stability
real-time
real-time
real-time
“situation today”
26. 26
Effect:
Example: consumption of special chemical
Background: Same performance of the board but improved dosing strategy!
60
77
93
110
05 2018 06 2018 07 2018 08 2018
specific consumption [%]
- 20 %
30. 30
Lessons learned
Visualization board making process
Have a clear vision of what you want to achieve
Kibana rulez ;) – people love it3
Best performance from Elastic is useless when sensors are not
calibrated inside board machine
4
Once it is visualized it’s the most normal thing in the world5
Have the data heat cycle in mind – we often had to go back to the
beginning and in the end bring missing sensors to the board machine
2
1
31. 31
Next steps
Visualization board making process
Roll out process monitor to all production locations
Include data from other systems (lab, quality system, etc.)3
Machine learning for analysis of critical process conditions4
Canvas dashboards for mill management (mobile applications)5
Include other areas with potential (finishing, cutting, etc.)2
1
32. 32
This was just the
beginning
Visit us at the AMA booth
Stephan Hampe stephan.hampe@mm-karton.com
Jürgen Kerner juergen.kerner@mm-karton.com