Kenneth Peeples, a JBoss technology evangelist, presented on better business results through open source integration. The presentation included an overview of open source integration with data virtualization, a preview of JBoss middleware integration offerings, and integration examples to help attendees get started. Specifically, it provided information on Red Hat's data virtualization, messaging, integration/ESB, and service design products and how they can help organizations innovate faster through open hybrid cloud environments. It also presented sample use cases and implementations including big data integration with data virtualization and a travel triage application.
The presentation covers-
1. Red Hat JBoss Developer Program
2. Red Hat JBoss Fuse
3. Red Hat JBoss Data Virtualization
The workshop was recorded and we will provide a link once it has been posted.
Agenda:
Red Hat JBoss and SAP Collaboration
Red Hat JBoss - Overview
SAP Netweaver Gateway
SAP PartnerEdge program for Application Development
Call to Action
Q&A
SAP Integration with Red Hat JBoss Technologieshwilming
SAP ERP provides different approaches to integrate Java applications with business logic written in ABAP. With JBoss Fuse, the SOA Platform, and Data Services Platform, Red Hat offers flexible middleware solutions for service-oriented integration and orchestration. As a leading provider of integrated solutions and longtime Premier Partner, akquinet has a long history of projects integrating individual applications based on JBoss with standard ERP software such as SAP or Navision.
Based on various real world examples, we will show different ways to integrate SAP ABAP backends with JBoss Middleware. We will discuss the pros and cons of integrating Java EE applications using (a) the REST based approach with NetWeaver Gateway, (b) JBoss Data Services Platform with NetWeaver Gateway (c) SOAP based Web Services and (d) Remote Function Calls with the Java EE Connector Architecture (JCA) and the SAP Java Connector (JCo) library
The presentation covers-
1. Red Hat JBoss Developer Program
2. Red Hat JBoss Fuse
3. Red Hat JBoss Data Virtualization
The workshop was recorded and we will provide a link once it has been posted.
Agenda:
Red Hat JBoss and SAP Collaboration
Red Hat JBoss - Overview
SAP Netweaver Gateway
SAP PartnerEdge program for Application Development
Call to Action
Q&A
SAP Integration with Red Hat JBoss Technologieshwilming
SAP ERP provides different approaches to integrate Java applications with business logic written in ABAP. With JBoss Fuse, the SOA Platform, and Data Services Platform, Red Hat offers flexible middleware solutions for service-oriented integration and orchestration. As a leading provider of integrated solutions and longtime Premier Partner, akquinet has a long history of projects integrating individual applications based on JBoss with standard ERP software such as SAP or Navision.
Based on various real world examples, we will show different ways to integrate SAP ABAP backends with JBoss Middleware. We will discuss the pros and cons of integrating Java EE applications using (a) the REST based approach with NetWeaver Gateway, (b) JBoss Data Services Platform with NetWeaver Gateway (c) SOAP based Web Services and (d) Remote Function Calls with the Java EE Connector Architecture (JCA) and the SAP Java Connector (JCo) library
Intégration Hybris / SAP
SAP JAVA Connector
PLAN
Introduction
Solution d’intégration Asynchrone
Solution d’intégration Synchrone
SAP Java Connector
Abréviation : SAP JCO
L’objectif:
Définir UN middleware QUI assure la communication avec SAP.
Supporter l’implémentation des applications Desktop & Web.
Caractéristiques SAP JCO :
basé sur JNI - Java Native Interface- CE qui permet d’accéder à bibliothèque CPI-C (Common Programming Interface - Communications) .
EFFectue des apples à des function En mode inbound (Java client appel BAPI OU RFM) OU outbound (ABAP calls external Java Server).
SAP Jco est mutli-Platforms.
Architecture SAP JAVA CoNNECTOR
SAP JCO BAPI
Business Application Programming Interface : des interfaces de programmation normalisées qui permettent aux programmes externes d'avoir accès aux données et aux processus de gestion du système SAP.
SAP JCO JAR
Etablissement de connexion .
Execution des Functions.
accès Et La navigation dans les tables.
Mapping ENTRE ABAP et JAVa data types.
Programmation multithreading.
Gestion des exceptions.
Développement BAPI
Exemple BAPI Stock :
Paramètres BAPI INPUT
Tester BAPI Dans SAP
Télécharger et installer SAP GUI ( SAP logon) :
Tester BAPI Dans SAP
Configuration SAP GUI ( SAP logon) :
Tester BAPI Dans SAP
Connexion SAP GUI ( SAP logon) :
Tester BAPI Dans SAP
Tester BAPI Dans SAP
Tester BAPI Dans SAP
Configurer DESTINATION RFC
L’ajout des extensions SAP Comme DES dépendances de projet dans le fichier localextensions.xml.
Création ou modification de l’impex de création de la RFC destination : sap.impex
Développer BAPI Dans Hybris
Les étapes à suivre :
Récupérer Une Connexion.
Récupérer La fonction BAPI.
Définir les paramètres d’import de la. Fonction BAPI.
Exécuter la fonction.
Récupérer les paramètres d’Export de la fonction.
Récupérer Stock
Conclusion
L’intégration entre SAP / Hybris S’impose Jour après Jour
; Personne N’est à l’abris de cette mutation.
L'intégration SAP / Hybris s’effectue Selon deux mode Synchrone à l’aide de SAP JAVA Connector et Asynchrone à l’aide de DataHUB.
SAP JAVA Connector se base Sur la Notion des BAPIs: des interfaces de programmation normalisées qui permettent aux programmes externes d'avoir accès aux données et aux processus de gestion du système SAP.
SAP LOGON GUI Permet de Tester les BAPI DANS SAP.
Pour plus de détails sur hybris-SAP Solution Integration , Rendez-vous sur : https://wiki.hybris.com/display/release5/Getting+Started+with+hybris-SAP+Solution+Integration
MERCI Pour Votre Attention
Integrating SAP the Java EE Way - JBoss One Day talk 2012hwilming
Cuckoo is an open source Resource Adapter for SAP that is compatible to the Java Connector Architecture (JCA) version 1.5.
It enables developers of Java EE applications to call functions in a SAP backend, making use of Java EE features like Container Managed Transactions and Security.
Hibersap helps developers of Java applications to call business logic in SAP backends. It defines a set of Java annotations to map SAP function modules to Java classes as well as a small, clean API to execute these function modules and handle transaction and security aspects.
Hibersap's programming model is quite similar to those of modern O/R mappers, significantly speeding up the development of SAP interfaces and making it much more fun to write the integration code.
Migrating traditional Java EE Applications to mobileSerge Pagop
More than 5 billion people spend an average of 2 hours a day using their mobile phones to bank, shop, reserve hotel rooms, socialize, and more. This challenges companies to migrate their traditional Java EE applications in order to address the demands of mobile and tablet users.
In this session, you’ll learn about some of the approaches to migrate a traditional Java EE application to mobile using specifications like RESTful, Context and Dependency Injection (CDI), Enterprise Java Beans (EJB3), and messaging from the Java Platform, Enterprise Edition (Java EE) 6 for server-side services. You’ll also hear about various choices of client-side technologies, which depend on key differentiators between mobile native, mobile web, and mobile hybrid applications.
Platform as a Service (PaaS) - A cloud service for Developers Ravindra Dastikop
Cloud Computing offers three fundamental categories of Services- namely IaaS, PaaS and SaaS. In this presentation, Platform as a Service is discussed. PaaS is a service aimed at developers and it enables them to design, develop and deploy applications on Cloud platforms
Web- and Mobile-Oriented Architectures with Oracle Fusion Middleware (OOW 2014)Lucas Jellema
Mobile applications as well as a large class of modern HTML5 web applications are built on top of an architecture with special provisions, such as RESTful services; the personal cloud, to provide a cross-device experience; push; cache; localization; scalability; and secure interaction with the enterprise back end. Gartner refers to this as the web-oriented architecture. Oracle Fusion Middleware offers key products (Oracle SOA Suite, Oracle Identity Management, and Oracle API Gateway) to implement this architecture, possibly in combination with cloud services such as Oracle Mobile Cloud Service, Oracle Messaging Cloud Service, and Oracle Storage Cloud Service. This session discusses the architecture itself and what it entails.
Load data on demand into a cache from a data store. This can improve performance and also helps to maintain consistency between data held in the cache and data in the underlying data store.
SAP NetWeaver Gateway Service Development
Agenda:
Data Model Definition
–Declarative model definition
–Import data model (EDMX)
–Import DDIC
–Import RFC/BOR Interface
Service implementation
–Code based implementation
–Code based extenstions
–Mapping of RFC/BOR operations
Service registration
–Gateway Hub
–Gateway Backend
WSO2Con 2011: Introduction to the WSO2 Carbon PlatformAfkham Azeez
WSO2 Carbon platform is the base framework for all fifteen WSO2 products and Cloud services. Based on OSGi, WSO2 Carbon is lean, consistent, modular, componentized middleware platform for enterprise software. The Carbon platform consists of a powerful core set of components and numerous product-specific components that are plugged together to provide a unique set of products. These highly decoupled components can easily be added or removed from any Carbon instance.
This tutorial will provide a fundamental overview of WSO2 Carbon, including:
An overview of the WSO2 Carbon architecture
The advantages of a modular framework
WSO2 Carbon platform capabilities
Insights to how Carbon is developed and built
A comprehensive demo on the lifecycle of a carbon component, explaining how a component is created, plugged into the platform and used
Carbon UI framework
Enterprise data is often the backbone to providing timely and effective information for any enterprise application landscape, but we struggle to integrate our vital and often diverse sources of information to our applications in a timely and effective manner.
No more.
Whether you are a Data Analyst, Business Analyst or in IT Strategy, this webinar will illustrate how easy it is to integrate disparate data spread across your organization when modeling and automating your business processes with modern BPM tools.
We will take you through an in depth sample solution that simulates a Travel Agency with examples of some of the complexities you will encounter:
• realtime disparate data integration
• rule based data validation
• rule based fraud detection for payment processing
• service integration
You will receive an advanced overview of the capabilities of both the Red Hat JBoss Data Virtualization and Red Hat JBoss BPM Suite while left with a sample project to evaluate the solution.
Intégration Hybris / SAP
SAP JAVA Connector
PLAN
Introduction
Solution d’intégration Asynchrone
Solution d’intégration Synchrone
SAP Java Connector
Abréviation : SAP JCO
L’objectif:
Définir UN middleware QUI assure la communication avec SAP.
Supporter l’implémentation des applications Desktop & Web.
Caractéristiques SAP JCO :
basé sur JNI - Java Native Interface- CE qui permet d’accéder à bibliothèque CPI-C (Common Programming Interface - Communications) .
EFFectue des apples à des function En mode inbound (Java client appel BAPI OU RFM) OU outbound (ABAP calls external Java Server).
SAP Jco est mutli-Platforms.
Architecture SAP JAVA CoNNECTOR
SAP JCO BAPI
Business Application Programming Interface : des interfaces de programmation normalisées qui permettent aux programmes externes d'avoir accès aux données et aux processus de gestion du système SAP.
SAP JCO JAR
Etablissement de connexion .
Execution des Functions.
accès Et La navigation dans les tables.
Mapping ENTRE ABAP et JAVa data types.
Programmation multithreading.
Gestion des exceptions.
Développement BAPI
Exemple BAPI Stock :
Paramètres BAPI INPUT
Tester BAPI Dans SAP
Télécharger et installer SAP GUI ( SAP logon) :
Tester BAPI Dans SAP
Configuration SAP GUI ( SAP logon) :
Tester BAPI Dans SAP
Connexion SAP GUI ( SAP logon) :
Tester BAPI Dans SAP
Tester BAPI Dans SAP
Tester BAPI Dans SAP
Configurer DESTINATION RFC
L’ajout des extensions SAP Comme DES dépendances de projet dans le fichier localextensions.xml.
Création ou modification de l’impex de création de la RFC destination : sap.impex
Développer BAPI Dans Hybris
Les étapes à suivre :
Récupérer Une Connexion.
Récupérer La fonction BAPI.
Définir les paramètres d’import de la. Fonction BAPI.
Exécuter la fonction.
Récupérer les paramètres d’Export de la fonction.
Récupérer Stock
Conclusion
L’intégration entre SAP / Hybris S’impose Jour après Jour
; Personne N’est à l’abris de cette mutation.
L'intégration SAP / Hybris s’effectue Selon deux mode Synchrone à l’aide de SAP JAVA Connector et Asynchrone à l’aide de DataHUB.
SAP JAVA Connector se base Sur la Notion des BAPIs: des interfaces de programmation normalisées qui permettent aux programmes externes d'avoir accès aux données et aux processus de gestion du système SAP.
SAP LOGON GUI Permet de Tester les BAPI DANS SAP.
Pour plus de détails sur hybris-SAP Solution Integration , Rendez-vous sur : https://wiki.hybris.com/display/release5/Getting+Started+with+hybris-SAP+Solution+Integration
MERCI Pour Votre Attention
Integrating SAP the Java EE Way - JBoss One Day talk 2012hwilming
Cuckoo is an open source Resource Adapter for SAP that is compatible to the Java Connector Architecture (JCA) version 1.5.
It enables developers of Java EE applications to call functions in a SAP backend, making use of Java EE features like Container Managed Transactions and Security.
Hibersap helps developers of Java applications to call business logic in SAP backends. It defines a set of Java annotations to map SAP function modules to Java classes as well as a small, clean API to execute these function modules and handle transaction and security aspects.
Hibersap's programming model is quite similar to those of modern O/R mappers, significantly speeding up the development of SAP interfaces and making it much more fun to write the integration code.
Migrating traditional Java EE Applications to mobileSerge Pagop
More than 5 billion people spend an average of 2 hours a day using their mobile phones to bank, shop, reserve hotel rooms, socialize, and more. This challenges companies to migrate their traditional Java EE applications in order to address the demands of mobile and tablet users.
In this session, you’ll learn about some of the approaches to migrate a traditional Java EE application to mobile using specifications like RESTful, Context and Dependency Injection (CDI), Enterprise Java Beans (EJB3), and messaging from the Java Platform, Enterprise Edition (Java EE) 6 for server-side services. You’ll also hear about various choices of client-side technologies, which depend on key differentiators between mobile native, mobile web, and mobile hybrid applications.
Platform as a Service (PaaS) - A cloud service for Developers Ravindra Dastikop
Cloud Computing offers three fundamental categories of Services- namely IaaS, PaaS and SaaS. In this presentation, Platform as a Service is discussed. PaaS is a service aimed at developers and it enables them to design, develop and deploy applications on Cloud platforms
Web- and Mobile-Oriented Architectures with Oracle Fusion Middleware (OOW 2014)Lucas Jellema
Mobile applications as well as a large class of modern HTML5 web applications are built on top of an architecture with special provisions, such as RESTful services; the personal cloud, to provide a cross-device experience; push; cache; localization; scalability; and secure interaction with the enterprise back end. Gartner refers to this as the web-oriented architecture. Oracle Fusion Middleware offers key products (Oracle SOA Suite, Oracle Identity Management, and Oracle API Gateway) to implement this architecture, possibly in combination with cloud services such as Oracle Mobile Cloud Service, Oracle Messaging Cloud Service, and Oracle Storage Cloud Service. This session discusses the architecture itself and what it entails.
Load data on demand into a cache from a data store. This can improve performance and also helps to maintain consistency between data held in the cache and data in the underlying data store.
SAP NetWeaver Gateway Service Development
Agenda:
Data Model Definition
–Declarative model definition
–Import data model (EDMX)
–Import DDIC
–Import RFC/BOR Interface
Service implementation
–Code based implementation
–Code based extenstions
–Mapping of RFC/BOR operations
Service registration
–Gateway Hub
–Gateway Backend
WSO2Con 2011: Introduction to the WSO2 Carbon PlatformAfkham Azeez
WSO2 Carbon platform is the base framework for all fifteen WSO2 products and Cloud services. Based on OSGi, WSO2 Carbon is lean, consistent, modular, componentized middleware platform for enterprise software. The Carbon platform consists of a powerful core set of components and numerous product-specific components that are plugged together to provide a unique set of products. These highly decoupled components can easily be added or removed from any Carbon instance.
This tutorial will provide a fundamental overview of WSO2 Carbon, including:
An overview of the WSO2 Carbon architecture
The advantages of a modular framework
WSO2 Carbon platform capabilities
Insights to how Carbon is developed and built
A comprehensive demo on the lifecycle of a carbon component, explaining how a component is created, plugged into the platform and used
Carbon UI framework
Enterprise data is often the backbone to providing timely and effective information for any enterprise application landscape, but we struggle to integrate our vital and often diverse sources of information to our applications in a timely and effective manner.
No more.
Whether you are a Data Analyst, Business Analyst or in IT Strategy, this webinar will illustrate how easy it is to integrate disparate data spread across your organization when modeling and automating your business processes with modern BPM tools.
We will take you through an in depth sample solution that simulates a Travel Agency with examples of some of the complexities you will encounter:
• realtime disparate data integration
• rule based data validation
• rule based fraud detection for payment processing
• service integration
You will receive an advanced overview of the capabilities of both the Red Hat JBoss Data Virtualization and Red Hat JBoss BPM Suite while left with a sample project to evaluate the solution.
Integration intervention: Get your apps and data up to speedKenneth Peeples
SOA has been the defacto methodology for enterprise application and process integration, because loosely coupled components and composite applications are more agile and efficient. The perfect solution? Not quite.
The data’s always been the problem. The most efficient and agile applications and services can be dragged down by the point-to-point data connections of a traditional data integration stack. Virtualized data services can eliminate the friction and get your applications up to speed.
In this webinar we'll show you how to (replay at http://www.redhat.com/en/about/events/integration-intervention-get-your-apps-and-data-speed):
-Quickly and easily create a virtual data services layer to plug data into your SOA infrastructure for an agile and efficient solution
-Derive more business value from your services.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Microsoft® SQL Server® 2012 is a cloud-ready information platform that will help organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence.
The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL, complemented by tool kits for management, integration, and migration; flexible deployment options, and services and support to enable enterprises to deploy Postgres at scale.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
Fast Data Strategy Houston Roadshow PresentationDenodo
Fast Data Strategy Houston Roadshow focused on the next industrial revolution on the horizon, driven by the application of big data, IoT and Cloud technologies.
• Denodo’s innovative customer, Anadarko, elaborated on how data virtualization serves as the key component in their prescriptive and predictive analytics initiatives, driven by multi-structured data ranging from customer data to equipment data.
• Denodo’s session, Unleashing the Power of Data, described the complexity of the modern data ecosystem and how to overcome challenges and successfully harness insights.
• Our Partner Noah Consulting, an expert analytics solutions provider in the energy industry, explained how your peers are innovating using new business models and reducing cost in areas such as Asset Management and Operations by leveraging Data Virtualization and Prescriptive and Predictive Analytics.
For more information on upcoming roadshows near you, follow this link: https://goo.gl/WBDHiE
Big Data, IoT, data lake, unstructured data, Hadoop, cloud, and massively parallel processing (MPP) are all just fancy words unless you can find uses cases for all this technology. Join me as I talk about the many use cases I have seen, from streaming data to advanced analytics, broken down by industry. I’ll show you how all this technology fits together by discussing various architectures and the most common approaches to solving data problems and hopefully set off light bulbs in your head on how big data can help your organization make better business decisions.
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?Denodo
Watch full webinar here: https://bit.ly/3hfEO6d
Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme.
Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten.
Erfahren Sie in diesem Webcast:
- Wie die Datenvirtualisierung funktioniert (in a Nutshell)
- Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt)
- Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Connect to the IoT with a lightweight protocol MQTTKenneth Peeples
Everything is connected in the Internet of Things. People, devices, machines, and more are all part of a network - sending and receiving data to and from other "things." What new opportunities can the IoT create for your business? The lightweight protocol MQTT can help connect to the Internet of Things.
Maximize information exchange in your enterprise with AMQPKenneth Peeples
Businesses need to efficiently exchange information inside the enterprise as well as with other enterprises. In order to reduce cost and enhance business agility, an open messaging standard is a necessity for interoperability and integration. Advanced Message Queueing Protocol (AMQP) is the open standard wire-level binary messaging protocol that describes how a message should be structured and sent across the network.
Join this webinar to learn more about:
-What AMQP is and it's applications.
-The features and benefits of AMQP.
-Why you should use AMQP in your enterprise.
-The differences between AMQP and other messaging standards, such as JMS.
-Topologies and architectures possible through the use of AMQP.
Big data insights with Red Hat JBoss Data VirtualizationKenneth Peeples
You’re hearing a lot about big data these days. And big data and the technologies that store and process it, like Hadoop, aren’t just new data silos. You might be looking to integrate big data with existing enterprise information systems to gain better understanding of your business. You want to take informed action.
During this session, we’ll demonstrate how Red Hat JBoss Data Virtualization can integrate with Hadoop through Hive and provide users easy access to data. You’ll learn how Red Hat JBoss Data Virtualization:
Can help you integrate your existing and growing data infrastructure.
Integrates big data with your existing enterprise data infrastructure.
Lets non-technical users access big data result sets.
We’ll also provide typical uses cases and examples and a demonstration of the integration of Hadoop sentiment analysis with sales data.
To build up any non-trivial business processing, you may have to connect systems that are exposed by web-services, fire off events over message queues, notify users via email or social networking, and much more.
Apache Camel is a lightweight integration framework that helps you connect systems in a consistent and reliable way. Focus on the business reasons behind what's being integrated, not the underlying details of how.
Middleware Security for Apache CXF, Camel, ActiveMQ and Karaf as well as others continue to be an ongoing concern especially around Authentication, Authorization, Data at Rest and Data in Transit. The session will include a presentation and demonstrations of implementing Authentication (AuthN) and Authorization (AuthZ) as well as other security topics.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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.
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
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Search and Society: Reimagining Information Access for Radical Futures
SOA Summit 2014
1. Better Business Results with
Open Source Integration
Kenneth Peeples
JBoss Technology Evangelist
2. Agenda for SOA Summit
●
Overview of Open Source Integration with Data
Virtualization
●
●
2
Preview of JBoss Middleware Integration Offerings
Integration examples that will help you get started
RED HAT JBOSS MIDDLEWARE
4. Red Hat is…
“By running tests and executing numerous examples for specific teams, we were able to prove […] not
only would the solution work, but it will perform better & at a fraction of the costs.”
MICHAEL BLAKE, Director, Systems & Architecture
4
RED HAT JBOSS MIDDLEWARE
5. Better Business Results through Open Source Integration
Overview of Open Source Integration
with Data Virtualization
6. SOAs and abstraction
Decoupling is the key concept
in SOAs achieved through
abstraction based on
service interfaces
Business processes and
services make use of
business information
Business information is
exposed to business
services as data services
6
RED HAT JBOSS MIDDLEWARE
7. Bridging the Gap
The need to bridge data gaps in a more straightforward, streamlined
and scalable way is due to:
●
●
Growing need for consolidated views of information
●
7
More and more data
Drive toward interoperability and standards
RED HAT JBOSS MIDDLEWARE
8. Data Services through Data Virtualization
Key requirements of data services
●
●
Expose integrated information in one or more desired formats,
even if the original data are in different formats
Expose information through one or more consistent, standard
interfaces, even if the original data are accessed through
different interfaces
The requirements are achieved by
●
●
8
Modeling to define the required format of data, integrated from the
underlying sources
A query engine for processing these abstract definitions efficiently,
exposing the integrated information through one or more
interfaces
RED HAT JBOSS MIDDLEWARE
9. Data Virtualization essential to a SOA
Data Virtualization provide the necessary interface to data for all
business services. Data Virtualization:
●
●
●
Expose all data through a single uniform interface
Provide a single point of access to all business services in the
system
Expose data using the same paradigm as business services - as
"data services"
●
●
Provide a uniform means of exposing/accessing meta-data
●
Provide a searchable interface to data and meta-data
●
Expose data relationships and semantics
●
9
Expose legacy data sources as data services
Provide uniform access controls to information
RED HAT JBOSS MIDDLEWARE
10. Data Virtualization and SOA Goals
●
●
●
●
●
10
Create an enterprise data foundation for streamlined development,
better integration and more efficient data governance
Improve delivery of consistent, complete information from any data
source to the application and business processes
Externalize business knowledge buried in applications and
databases
Expand automation, moving beyond reports to active analysis and
decision-making
Build business processes in code that are actually followed by the
organization
RED HAT JBOSS MIDDLEWARE
11. What is Data Virtualization?
Data Virtualization provides a service that:
●
Encapsulates data-oriented logic
●
Enable loose coupling between the application and the data stores
●
Manages real-time connectivity to data stores
●
●
●
11
Offers a higher level of data abstraction compared to interacting
directly with data stores
Provides appropriate views of data
Allows views of data to be cached based on performance
requirements
RED HAT JBOSS MIDDLEWARE
12. Translators and Resource Adaptors
A translator
●
●
●
provides an abstraction layer between the run time engine and
physical datasource
Knows how to issue query commands into source specific
commands
Execute them using the resource adapter
A Translator also defines the capabilities of a particular source, like
whether it can natively support query joins (inner joins, cross joins
etc) or support criteria.
A Translator along with its Resource Adapter must be configured on a
Source Model
12
RED HAT JBOSS MIDDLEWARE
13. Translators and Resource Adaptors (Continued)
A Resource Adapter provides the connectivity to the physical data
source
This also provides way to natively issue commands to the source and
gather results
Translator capabilities define what processing each translator/source
combination can perform.
For example, most relational sources can process joins and unions,
whereas when processing delimited text files these operations
cannot be performed by the resource adapter or the "source" (in this
case, the file system).
13
RED HAT JBOSS MIDDLEWARE
14. Modeling Environment for Data Virtualization
Virtual Databases contain two primary varieties of model types - source and
view.
Source models represent the structure and characteristics of physical data
sources, whereas view models represent the structure and characteristics
of abstract structures you want to expose to your applications.
Models used for data integration are packaged into a virtual database (VDB).
The models must be in a complete and consistent state when used for data
integration.
That is, the VDB must contain all the models and all resources they depend
upon.
Source models must be configured with a Translator and a Resource Adapter
with them before a VDB is tested in Designer or deployed for data access
14
RED HAT JBOSS MIDDLEWARE
15. Runtime Environment for Data Virtualization
●
●
Optimize performance
●
Manage data security
●
Take advantage of run-time system management features
●
15
Connect to multiple, heterogeneous data sources
Audit data service usage
RED HAT JBOSS MIDDLEWARE
16. Better Business Results through Open Source Integration
Preview of JBoss Middleware
Integration Offerings
17. Innovate faster, in a smarter way
A family of a lightweight, enterprise-grade products
that are ideal for open hybrid cloud environments.
17
RED HAT JBOSS MIDDLEWARE
18. There is a better way – Red Hat JBoss
Integration Product Line
Red Hat JBoss A-MQ
● A small-footprint, high-performance messaging platform
●
●
Product Page – http://www.redhat.com/products/jbossenterprisemiddleware/amq/
Developers Download the Code - https://www.jboss.org/products/amq.html
Red Hat JBoss Fuse
● A small-footprint, flexible enterprise service bus (ESB)
●
●
Product Page – http://www.redhat.com/products/jbossenterprisemiddleware/fuse/
Developers Download the Code - https://www.jboss.org/products/fuse.html
Red Hat JBoss Fuse Service Works
● A service design, development and integration platform that enables
organizations to transition to an open hybrid cloud
●
●
Product Page – http://www.redhat.com/products/jbossenterprisemiddleware/fuse-service-works/
Developers Download the Code - https://www.jboss.org/products/fsw.html
Red Hat JBoss Data Virtualization (Only Open Source Data Virtualization
product on the market)
● A lean, virtual data integration that unlocks trapped data and delivers it as
easily consumable, unified, actionable information
●
●
18
Product Page – http://www.redhat.com/products/jbossenterprisemiddleware/data-virtualization/
Developers Download the Code - https://www.jboss.org/products/datavirt.html
RED HAT JBOSS MIDDLEWARE
21. What does Data Virtualization software do?
Turn Fragmented Data into Actionable Information
Data Virtualization software virtually
unifies data spread across various
disparate sources; and makes it
available to applications as a single
consolidated data source.
DATA CONSUMERS
BI Reports
The data virtualization software
implements 3 steps process to bridge
data sources and data consumers:
●
●
●
21
Connect: Fast access to data from
diverse data sources
Compose: Easily create unified
virtual data models and views by
combining and transforming data
from multiple sources.
Consume: Expose consistent
information to data consumers in
the right form thru standard data
access methods.
SOA Applications
Easy,
Real-time
Information
Access
Virtual Consolidated Data Source
•
•
•
Data Virtualization Software
Consume
Compose
Connect
Oracle DW
SAP
Hadoop
DATA SOURCES
RED HAT JBOSS MIDDLEWARE
Salesforce.com
Virtualize
Abstract
Federate
Siloed &
Complex
22. Turn Fragmented Data into Actionable Information
Mobile Applications
ESB, ETL
BI Reports & Analytics
SOA Applications & Portals
DATA
CONSUMERS
JBOSS
DV
Design Tools
Standard based Data Provisioning
JDBC, ODBC, SOAP, REST, OData
Consume
Dashboard
Unified Virtual Database / Common Data Model
Compose
Unified Customer
View
Unified
Product View
Easy,
Real-time
Information
Access
Unified
Supplier View
Optimization
Caching
Virtualize
Abstract
Federate
Security
Connect
Native Data Connectivity
Metadata
DATA
SOURCES
Hadoop
22
NoSQL
Cloud Apps
Data Warehouse
& Databases
Mainframe
RED HAT JBOSS MIDDLEWARE
XML, CSV
& Excel Files
Siloed &
Complex
Enterprise Apps
23. JBoss Data Virtualization:
Supported Data Sources
Enterprise RDBMS:
• Oracle
• IBM DB2
• Microsoft SQL Server
• Sybase ASE
• MySQL
• PostgreSQL
• Ingres
Enterprise EDW:
• Teradata
• Netezza
• Greenplum
23
Hadoop:
• Apache
• HortonWorks
• Cloudera
• More coming…
Office Productivity:
• Microsoft Excel
• Microsoft Access
• Google Spreadsheets
Specialty Data
Sources:
• ModeShape
Repository
• Mondrian
• MetaMatrix
• LDAP
RED HAT JBOSS MIDDLEWARE
NoSQL:
• JBoss Data Grid
• MongoDB
• More coming…
Enterprise & Cloud
Applications:
• Salesforce.com
• SAP
Technology
Connectors:
• Flat Files, XML Files,
XML over HTTP
• SOAP Web Services
• REST Web Services
• OData Services
24. Key New Features and Capabilities for v6
●
Data connectivity enhancements
–
–
NoSQL (MongoDB – Tech Preview) and JBoss Data Grid
–
●
Hadoop Integration (Hive – Big Data),
Odata support (SAP integration)
Developer Productivity improvements
–
–
Enhanced column level security,
–
●
New VDB Designer 8 and integration with JBoss Developer Studio v7
VDB import/reuse, and native queries
Simplify deployment and packaging
–
–
●
Requires JBoss EAP only; included with subscription
Remove dependency with SOA Platform
Business Dashboard
–
24
New rapid data reporting/visualization capability
RED HAT JBOSS MIDDLEWARE
25. ●
JBoss Data Virtualization – Use Cases
Self-Service
Business
Intelligence
The virtual, reusable data model provides business-friendly representation of data,
allowing the user to interact with their data without having to know the complexities of their
database or where the data is stored and allowing multiple BI tools to acquire data from
centralized data layer. Gain better insights from Big Data using JBoss Data Virtualization to
integrate with existing information sources.
360◦
Unified
View
Deliver a complete view of master & transactional data in real-time. The virtual data layer
serves as a unified, enterprise-wide view of business information that improves users’ ability
to understand and leverage enterprise data.
Agile SOA
Data
Services
A data virtualization layer deliver the missing data services layer to SOA applications. JBoss
Data Virtualization increases agility and loose coupling with virtual data stores without the
need to touch underlying sources and creation of data services that encapsulate the data
access logic and allowing multiple business service to acquire data from centralized data
layer.
Regulatory
Compliance
Data Virtualization layer deliver the data firewall functionality. JBoss Data Virtualization
improves data quality via centralized access control, robust security infrastructure and
reduction in physical copies of data thus reducing risk. Furthermore, the metadata
repository catalogs enterprise data locations and the relationships between the data in
various data stores, enabling transparency and visibility.
25
RED HAT JBOSS MIDDLEWARE
26. There is a better way – Red Hat JBoss
Integration Product Line
JBoss A-MQ
A small-footprint messaging platform, eliminating batch
delivery
“JBoss A-MQ for real-time messaging”
Additional Capabilities
JBoss Fuse
(Includes JBoss AMQ)
A Integration/ESB platform for integrations that can extend
outside the data center
“JBoss Fuse for integration/ESB requirements”
Additional Capabilities
JBoss Fuse Service
Works
(Includes JBoss Fuse)
26
A Service design, development and integration platform that
enables responsive and innovative enterprise
“JBoss Fuse Service Works for
integration/ESB+SOA+Orchestration+Governance
requirements”
RED HAT JBOSS MIDDLEWARE
27. JBoss A-MQ v6.1
New in 6.1:
●
●
Full support of AMQP 1.0 – provides wire-level compatibility across connections
Improved high availability (HA) – embedded message store for shared-nothing
HA
27
RED HAT JBOSS MIDDLEWARE
28. JBoss Fuse v6.1
New in 6.1
• Full support of AMQP 1.0 – provides wire-level compatibility across connections
• Vast library of connectors – over 200 out-of-the-box-connector via Apache Camel
• Managed integration routes - start, stop, measure and trace Camel routes on-premise or in
the Cloud
• Improved high availability (HA) – embedded message store for shared-nothing HA
28
RED HAT JBOSS MIDDLEWARE
29. JBoss Fuse Service Works v6
Enables organizations to Simplify integrations and focus on business innovation
29
RED HAT JBOSS MIDDLEWARE
30. SwitchYard Application Overview
Composite Service
ComponentBinding
Composite
Reference-Binding
Service-Binding
Component-Service
Component
30
Component-Reference
RED HAT JBOSS MIDDLEWARE
31. Design Time and Run Time Governance
31
RED HAT JBOSS MIDDLEWARE
32. Better Business Results through Open Source Integration
Integration examples to help you
get started
33. Sample 1: Big Data with
Data Virtualization
●
Determine if sentiment data from the
first week of the Iron Man 3 movie is a
predictor of sales
Problem:
–
●
Cannot utilize social data and
sentiment analysis with sales
management system
Consume
Compose
Connect
Solution:
–
JBoss Data Virtualization
Leverage JBoss Data Virtualization to
mashup Sentiment analysis data with
ticket and merchandise sales data on
MySQL into a single view of the data.
https://github.com/DataVirtualizationByExample/Mashup-with-Hive-and-MySQL
33
Consumer 2 : DV
Dashboard to analyze
the aggregated data
Objective:
–
●
Consumer 1: Excel
Powerview to analyze
the aggregated data
Hive
SOURCE 1: Hive/Hadoop
contains twitter data
including sentiment
RED HAT JBOSS MIDDLEWARE
SOURCE 2: MySQL data
that includes ticket and
merchandise sales
46. References
Data Virtualization Datasheet http://www.redhat.com/resourcelibrary/datasheets/red-hat-jboss-data-virtualization-datashe
et
Fuse Service Works Datasheet
http://www.redhat.com/resourcelibrary/datasheets/red-hat-jboss-fuse-service-works-datash
eet
Red Hat JBoss Data Virtualization for financial services Whitepaper
http://www.redhat.com/resourcelibrary/whitepapers/data-virtualization-fsi
Red Hat JBoss Fuse Service Works technology overview Whitepaper
http://www.redhat.com/resourcelibrary/whitepapers/red-hat-jboss-fuse-service-works-tech
nology-overview
Turn data into actionable information with Red Hat JBoss Middleware Whitepaper
http://www.redhat.com/resourcelibrary/whitepapers/turn-data-into-actionable-information-w
ith-red-hat-jboss-middleware
46
RED HAT JBOSS MIDDLEWARE