Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as a transit system carrying data between applications within or across organizations. Mule enables integration regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect more in the future or use different protocols, an ESB like Mule can help with its scalability and reusable components. Mule Studio provides a graphical interface to design integration flows by connecting message sources, processors, and connectors.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus, carrying data between applications within or across organizations. Mule enables integration between applications regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. Mule ESB is useful when integrating 3 or more applications, needing to connect future applications, requiring multiple communication protocols, or needing message routing capabilities.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows applications to connect and exchange data. It acts as a transit system carrying data between applications within or across organizations. Mule enables integration between applications regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. An ESB like Mule is useful when integrating 3 or more applications, needing to connect future applications, requiring message routing, or publishing services. Mule offers scalability, reusable components, and integration of existing components without changes.
MULE has a modular architecture that consists of components containing business logic, inbound routers to route incoming messages to services, outbound routers to redirect outputs to other services for load balancing or policy-based routing, endpoints to connect components to external systems, transformers to transform data formats before sending to components, and transports to manage connections between technologies using protocols like HTTP, JMS, and FTP.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule can connect to RabbitMQ using the AMQP connector and exchange types to send and receive messages from RabbitMQ queues. For example, a Mule flow can use a direct exchange to send a message to a queue, while another flow receives from the same queue.
Mule ESB is a lightweight Java-based integration platform that allows different applications to communicate with each other by acting as a transit system for carrying data between applications. It supports over 30 protocols and technologies and includes powerful capabilities like acting as a single point of access, transaction manager, and security manager. Mule ESB uses flows to process messages where each message passes through a sequence of message processors like transformers, filters, routers, and components. Key elements of Mule messages include properties, variables, payload, and attachments.
The document discusses Mule message structure and variable scopes. A Mule message contains a header and payload. It is embedded in a Mule message object that can include variables, attachments, and exceptions. Properties have inbound and outbound scopes, with inbound being immutable metadata from the source and outbound being mutable metadata set during a flow. Variables have flow, session, and record scopes and are temporary pieces of information about a message that are not passed through the entire flow. Session variables apply across all flows in an application.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus, carrying data between applications within or across organizations. Mule enables integration between applications regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. Mule ESB is useful when integrating 3 or more applications, needing to connect future applications, requiring multiple communication protocols, or needing message routing capabilities.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows applications to connect and exchange data. It acts as a transit system carrying data between applications within or across organizations. Mule enables integration between applications regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. An ESB like Mule is useful when integrating 3 or more applications, needing to connect future applications, requiring message routing, or publishing services. Mule offers scalability, reusable components, and integration of existing components without changes.
MULE has a modular architecture that consists of components containing business logic, inbound routers to route incoming messages to services, outbound routers to redirect outputs to other services for load balancing or policy-based routing, endpoints to connect components to external systems, transformers to transform data formats before sending to components, and transports to manage connections between technologies using protocols like HTTP, JMS, and FTP.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule can connect to RabbitMQ using the AMQP connector and exchange types to send and receive messages from RabbitMQ queues. For example, a Mule flow can use a direct exchange to send a message to a queue, while another flow receives from the same queue.
Mule ESB is a lightweight Java-based integration platform that allows different applications to communicate with each other by acting as a transit system for carrying data between applications. It supports over 30 protocols and technologies and includes powerful capabilities like acting as a single point of access, transaction manager, and security manager. Mule ESB uses flows to process messages where each message passes through a sequence of message processors like transformers, filters, routers, and components. Key elements of Mule messages include properties, variables, payload, and attachments.
The document discusses Mule message structure and variable scopes. A Mule message contains a header and payload. It is embedded in a Mule message object that can include variables, attachments, and exceptions. Properties have inbound and outbound scopes, with inbound being immutable metadata from the source and outbound being mutable metadata set during a flow. Variables have flow, session, and record scopes and are temporary pieces of information about a message that are not passed through the entire flow. Session variables apply across all flows in an application.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
Mule is an open-source lightweight enterprise service bus and integration platform that allows users to connect applications together and exchange data. It provides a scalable and distributable object broker that handles interactions across systems using various transports and protocols. Mule applications are written in XML and deployed to a Mule runtime server. They contain message flows that process messages through a series of connectors and processors. Mule also provides a connectivity platform called Anypoint Platform that enables building, deploying, and managing integrations and APIs.
This document provides an introduction to Java fundamentals and object-oriented programming concepts. It outlines the course objectives which include learning Java features, OOP principles, and how to program using the Java API. The document then discusses Java basics like its history and importance, differences between Java and C/C++, Java characteristics, environment, and execution model. It also includes an example "Hello World" Java program and how to run it.
The document discusses MuleSoft filters which can be used to determine whether messages pass through application flows or are dropped. It provides examples of built-in filters like AND, OR, and NOT filters as well as expression filters. Custom global filters can also be created. The agenda indicates the topic of filters will be continued in the next session, and references MuleSoft's website for additional information.
The document discusses various components in Mule ESB including the File, Database, and REST components. The File component allows exchanging files with the file system and can be used as an inbound or outbound endpoint. The Database component connects to JDBC databases and performs SQL operations. The REST component allows Mule to act as a RESTful service consumer or provider. DataWeave is introduced as a data transformation language replacing the DataMapper.
The document summarizes the structure of Mule messages, which contain a header and payload. The header includes properties and variables that provide metadata about the message. Properties have inbound and outbound scopes, while variables have flow, session, and record scopes. The document describes how to set, copy, and remove properties and variables using message processors. It also explains how to set and enrich the message payload.
The document discusses Mule Expression Language (MEL), which is a lightweight expression language that can be used to access and evaluate data in a Mule message. MEL expressions provide convenient access to properties of the message and its environment through context objects like "message", "server", and "app". MEL syntax closely follows Java and allows accessing data, making decisions, and manipulating message payloads through simple property expressions and operators. Common uses of MEL include routing messages, extracting values, replacing tokens, and implementing custom message processors.
Mule esb messages, mule context, mule message properties, processing strategies,mule expression , variables, ,mule variables ,mule context, Extending the first use case with transformers, expression components and vm endpoint
Mule ESB is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications together quickly and easily. It acts as a transit system for carrying data between applications within an enterprise or across the Internet. Mule ESB includes powerful capabilities such as supporting over 30 protocols, simplified POJO-based programming, multiple access points, and extensive out of the box data transformations. A key advantage is that it allows different applications to communicate regardless of the technologies used.
Java is the native language in which Mule is coded.
The Java component enables the developer to package custom Java code that executes when the component receives a message.
The Java component can be used to enhance the functionality and capability of your web-based applications written in Java.
Anypoint platform architecture and componentsD.Rajesh Kumar
The document provides an overview of the Anypoint platform architecture and its components. The platform offers tools for designing, building, and managing APIs, applications, and products across their entire lifecycle. The core runtime engine is Mule, which combines data and application integration. The platform includes design tools, management interfaces, connectors, marketplaces, and platform services to enable integration across systems.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows applications to connect and exchange data. It enables integration between applications regardless of technology. Mule provides capabilities like service creation, mediation between services, message routing, and data transformation. An ESB like Mule is useful when integrating 3 or more applications, needing to connect future applications, requiring different communication protocols, or needing message routing capabilities. Mule offers high scalability, reusable components, and integration of existing components without changes.
Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together through integration patterns like flow-based programming. It provides functionality for service creation and hosting, message routing, data transformation, and mediation between different technologies. Mule ESB uses a visual drag-and-drop interface called Mule Studio for low-code development of integration flows and assets. Key components include endpoints to connect to external systems, transformations to modify message formats, filters to route messages conditionally, and routers to control message flow. Mule applications are deployed to a Mule runtime server for execution.
Mule ESB is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications together quickly and easily. It acts as a transit system for carrying data between applications within an enterprise or across the Internet. Mule ESB includes powerful capabilities such as supporting over 30 protocols, simplified POJO-based programming, multiple access points, and extensive out of the box data transformations. Key components of Mule include flows, message processors like transformers and routers, and messages which contain a header and payload.
This document provides an introduction to Mule ESB, including what an enterprise service bus (ESB) is, the key features of Mule ESB, and how Mule ESB allows applications to connect and exchange data through various connectors, components, and other elements like transformers, filters, and routers. Mule ESB is a lightweight Java-based ESB and integration platform that provides service mediation, message routing, data transformation and other capabilities to enable integration between applications.
Mule applications accept and process events as messages through connected message processors in a flow. Large messages can be processed in batch jobs which split messages into records. Flows link message processors to handle message receipt, processing, and routing. Batch jobs process records asynchronously outside of flows. Mule receives messages from external sources via connectors and routes them through processors that transform data between applications.
Mule applications accept and process events as messages through connected message processors in a flow. Large messages can be processed in batch jobs which split messages into records. Flows link message processors to handle message receipt, processing, and routing. Batch jobs process records asynchronously outside of flows. Mule receives messages from external sources via connectors and routes them through processors that transform data between applications.
The document discusses Mule Enterprise Service Bus (ESB), which is a lightweight Java-based integration platform that allows applications to connect and exchange data quickly regardless of their underlying technologies. Mule ESB acts as a transit system carrying data between applications within or across organizations. It supports over 30 protocols and includes capabilities for data transformation, routing, and connecting applications through simple configuration.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
The document discusses Mule Enterprise Service Bus (ESB). Key points:
- Mule ESB is a lightweight Java-based integration platform that allows connecting applications together quickly through various protocols including JMS, HTTP, FTP, and more.
- It acts as a transit system carrying data between applications within or across organizations.
- Mule ESB includes capabilities for data transformations, routing, messaging, and integration with existing systems regardless of technology used.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
Mule is an open-source lightweight enterprise service bus and integration platform that allows users to connect applications together and exchange data. It provides a scalable and distributable object broker that handles interactions across systems using various transports and protocols. Mule applications are written in XML and deployed to a Mule runtime server. They contain message flows that process messages through a series of connectors and processors. Mule also provides a connectivity platform called Anypoint Platform that enables building, deploying, and managing integrations and APIs.
This document provides an introduction to Java fundamentals and object-oriented programming concepts. It outlines the course objectives which include learning Java features, OOP principles, and how to program using the Java API. The document then discusses Java basics like its history and importance, differences between Java and C/C++, Java characteristics, environment, and execution model. It also includes an example "Hello World" Java program and how to run it.
The document discusses MuleSoft filters which can be used to determine whether messages pass through application flows or are dropped. It provides examples of built-in filters like AND, OR, and NOT filters as well as expression filters. Custom global filters can also be created. The agenda indicates the topic of filters will be continued in the next session, and references MuleSoft's website for additional information.
The document discusses various components in Mule ESB including the File, Database, and REST components. The File component allows exchanging files with the file system and can be used as an inbound or outbound endpoint. The Database component connects to JDBC databases and performs SQL operations. The REST component allows Mule to act as a RESTful service consumer or provider. DataWeave is introduced as a data transformation language replacing the DataMapper.
The document summarizes the structure of Mule messages, which contain a header and payload. The header includes properties and variables that provide metadata about the message. Properties have inbound and outbound scopes, while variables have flow, session, and record scopes. The document describes how to set, copy, and remove properties and variables using message processors. It also explains how to set and enrich the message payload.
The document discusses Mule Expression Language (MEL), which is a lightweight expression language that can be used to access and evaluate data in a Mule message. MEL expressions provide convenient access to properties of the message and its environment through context objects like "message", "server", and "app". MEL syntax closely follows Java and allows accessing data, making decisions, and manipulating message payloads through simple property expressions and operators. Common uses of MEL include routing messages, extracting values, replacing tokens, and implementing custom message processors.
Mule esb messages, mule context, mule message properties, processing strategies,mule expression , variables, ,mule variables ,mule context, Extending the first use case with transformers, expression components and vm endpoint
Mule ESB is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications together quickly and easily. It acts as a transit system for carrying data between applications within an enterprise or across the Internet. Mule ESB includes powerful capabilities such as supporting over 30 protocols, simplified POJO-based programming, multiple access points, and extensive out of the box data transformations. A key advantage is that it allows different applications to communicate regardless of the technologies used.
Java is the native language in which Mule is coded.
The Java component enables the developer to package custom Java code that executes when the component receives a message.
The Java component can be used to enhance the functionality and capability of your web-based applications written in Java.
Anypoint platform architecture and componentsD.Rajesh Kumar
The document provides an overview of the Anypoint platform architecture and its components. The platform offers tools for designing, building, and managing APIs, applications, and products across their entire lifecycle. The core runtime engine is Mule, which combines data and application integration. The platform includes design tools, management interfaces, connectors, marketplaces, and platform services to enable integration across systems.
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows applications to connect and exchange data. It enables integration between applications regardless of technology. Mule provides capabilities like service creation, mediation between services, message routing, and data transformation. An ESB like Mule is useful when integrating 3 or more applications, needing to connect future applications, requiring different communication protocols, or needing message routing capabilities. Mule offers high scalability, reusable components, and integration of existing components without changes.
Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together through integration patterns like flow-based programming. It provides functionality for service creation and hosting, message routing, data transformation, and mediation between different technologies. Mule ESB uses a visual drag-and-drop interface called Mule Studio for low-code development of integration flows and assets. Key components include endpoints to connect to external systems, transformations to modify message formats, filters to route messages conditionally, and routers to control message flow. Mule applications are deployed to a Mule runtime server for execution.
Mule ESB is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications together quickly and easily. It acts as a transit system for carrying data between applications within an enterprise or across the Internet. Mule ESB includes powerful capabilities such as supporting over 30 protocols, simplified POJO-based programming, multiple access points, and extensive out of the box data transformations. Key components of Mule include flows, message processors like transformers and routers, and messages which contain a header and payload.
This document provides an introduction to Mule ESB, including what an enterprise service bus (ESB) is, the key features of Mule ESB, and how Mule ESB allows applications to connect and exchange data through various connectors, components, and other elements like transformers, filters, and routers. Mule ESB is a lightweight Java-based ESB and integration platform that provides service mediation, message routing, data transformation and other capabilities to enable integration between applications.
Mule applications accept and process events as messages through connected message processors in a flow. Large messages can be processed in batch jobs which split messages into records. Flows link message processors to handle message receipt, processing, and routing. Batch jobs process records asynchronously outside of flows. Mule receives messages from external sources via connectors and routes them through processors that transform data between applications.
Mule applications accept and process events as messages through connected message processors in a flow. Large messages can be processed in batch jobs which split messages into records. Flows link message processors to handle message receipt, processing, and routing. Batch jobs process records asynchronously outside of flows. Mule receives messages from external sources via connectors and routes them through processors that transform data between applications.
The document discusses Mule Enterprise Service Bus (ESB), which is a lightweight Java-based integration platform that allows applications to connect and exchange data quickly regardless of their underlying technologies. Mule ESB acts as a transit system carrying data between applications within or across organizations. It supports over 30 protocols and includes capabilities for data transformation, routing, and connecting applications through simple configuration.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
The document discusses Mule Enterprise Service Bus (ESB). Key points:
- Mule ESB is a lightweight Java-based integration platform that allows connecting applications together quickly through various protocols including JMS, HTTP, FTP, and more.
- It acts as a transit system carrying data between applications within or across organizations.
- Mule ESB includes capabilities for data transformations, routing, messaging, and integration with existing systems regardless of technology used.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
The document discusses Mule Enterprise Service Bus (ESB). Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data across various technologies and protocols. It acts as a transit system to carry data between applications within or across organizations. Key capabilities include support for multiple access points and protocols, simplified programming model, and ease of configuration and extensibility.
The document discusses Mule Enterprise Service Bus (ESB). Key points:
- Mule ESB is a lightweight Java-based integration platform that allows connecting applications together quickly through various protocols including JMS, HTTP, FTP, and more.
- It acts as a transit system carrying data between applications within or across organizations.
- Mule ESB includes capabilities for data transformations, routing, messaging, and integration with existing systems regardless of technology used.
The document discusses Mule Enterprise Service Bus (ESB). Key points:
- Mule ESB is a lightweight Java-based integration platform that allows connecting applications together quickly through various protocols including JMS, HTTP, FTP, and others.
- It acts as a transit system carrying data between applications within or across organizations.
- Mule ESB includes capabilities for data transformations, routing, messaging, and integration of existing systems regardless of technology differences.
The document discusses Mule Enterprise Service Bus (ESB). Key points:
- Mule ESB is a lightweight Java-based integration platform that allows connecting applications together quickly through various protocols including JMS, HTTP, FTP, and more.
- It acts as a transit system carrying data between applications within or across organizations.
- Mule ESB includes capabilities for data transformations, routing, messaging, and integration with existing systems regardless of technology used.
The document discusses Mule Enterprise Service Bus (ESB). Key points:
- Mule ESB is a lightweight Java-based integration platform that allows connecting applications together quickly through various protocols including JMS, HTTP, FTP, and more.
- It acts as a transit system carrying data between applications within or across organizations.
- Mule ESB includes capabilities for data transformations, routing, messaging, and integration with existing systems regardless of technology used.
This document provides an overview of Mule ESB, including its key elements and features. Mule ESB is a lightweight, Java-based integration platform that allows developers to connect applications quickly using its built-in connectors. It can integrate and orchestrate events in real-time or in batch mode using a staged event-driven architecture. Mule applications are composed of flows that contain message processors and can communicate with other flows and external resources.
Mule ESB Interview or Certification questionsTechieVarsity
Mule ESB is used to integrate the university's new Oracle PeopleSoft Campus Solutions student system with its existing Oracle ERP implementation and other ancillary systems. A Mule flow posts student transaction queues asynchronously to Oracle ERP and manages credit/debit transactions by splitting and routing them. Mule is also used for other integration tasks like batch jobs and file transfers within the university systems.
Mule ESB is a lightweight Java-based integration platform that allows for quick and easy integration of applications and data exchanges across various technologies. It provides powerful capabilities including service creation and hosting, message routing and mediation, and data transformation. Mule ESB uses an architecture that is scalable and distributable to handle interactions across both legacy systems and modern platforms and protocols.
This document provides an overview of MuleSoft and Mule cloud integration platform. It discusses key features of Mule such as drag-and-drop design, pre-built connectors, and one-click deployments. The document also describes Mule architecture, components including flows, message sources and processors. It lists the various supported technologies for transport, web services, middleware, databases and security. Finally, it provides a high-level description of Mule Cloud Hub which offers a fully-managed integration platform as a service.
Mule ESB is a lightweight and open source Java-based enterprise service bus (ESB) and integration platform that allows applications to connect and exchange data. It uses a service-oriented architecture and supports integration with various technologies through different endpoints. Mule ESB provides reusable components like transformers and filters that process messages and handle errors. It also offers features like scalability, cloud integration, and a graphical development environment to help developers build integration flows visually.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
2. What is Mule ESB?
• Mule is a lightweight Java-based enterprise service bus (ESB) and integration
platform that allows developers to connect applications together quickly and
easily, enabling them to exchange data and allows different applications to
communicate with each other by acting as a transit system for carrying data
between applications within your enterprise or across the Internet.
• It enables easy integration of existing systems, regardless of the different
technologies that the applications use.
Example: JMS, Web Services, JDBC, HTTP, and more
3. Capabilities of Mule
• Service creation and hosting — expose and host reusable services, using the ESB
as a lightweight service container
• Service mediation — shield services from message formats and protocols,
separate business logic from messaging, and enable location-independent service
calls
• Message routing — route, filter, aggregate, and re-sequence messages based on
content and rules
• Data transformation — exchange data across varying formats and transport
protocols
4. Do I need an ESB and when to select an ESB?
It is form the article written by MuleSoft founder and VP of Product Strategy Ross Mason: To ESB or not to ESB.
1. Are you integrating 3 or more applications/services?
2. Will you need to plug in more applications in the future?
3. Do you need to use more than one type of communication protocol?
4. Do you need message routing capabilities such as forking and aggregating
message flows, or content-based routing?
5. Do you need to publish services for consumption by other applications?
5. Advantages of Mule provides over other
competitors
• Mule's stage event-driven architecture (SEDA) makes it highly scalable.
• Mule components can be any type you want. You can easily integrate anything from
a "plain old Java object" (POJO) to a component from another framework.
• Mule and the ESB model enable significant component reuse.
• Unlike other frameworks, Mule allows you to use your existing components without
any changes. Components do not require any Mule-specific code to run in Mule,
and there is no programmatic API required. The business logic is kept completely
separate from the messaging logic.
6. Mule Enterprise
• There are two editions of Mule. Community and Enterprise.
• Enterprise is the enterprise-class version of the ESB, with additional features
and capabilities that are ideal for production deployments of Mule that have
requirements for performance, HA, resiliency, or technical support.
https://www.mulesoft.com/platform/soa/mule-esb-enterprise
8. Anypoint Studio
• Canvas /Message Flow
• Global Elements
• Configuration XML
• Palette ( where mule building blocks/elements are available )
1. Connector 4. Transformers
2. Scope 5. Filters
3. Components 6. Flow Control elements (or "Routers")
9. Message Sources
• Mule processes messages, also known as events.
• which may be transmitted from resources external to Mule.
Example: A message can be initiated by an event
• Such as a consumer request from a mobile device.
• A change to data in a database.
• The creation of a new customer ID in a Software as a service(Saas) application.
• The first building block of most flows is a receiver which receives new messages and places them in the queue for processing. This
message source – receives messages from one or more external sources, thus triggering the execution of a flow.
• Message sources in Mule are usually Anypoint Connectors, elements which provide connectivity to a specific external source, either via
a standard protocol (such as HTTP, FTP, SMTP) or a third-party API (such as Salesforce.com, Twitter, or MongoDB.)
10. Message Processors
• In Mule, message processors are grouped together by category.
• Mule transformers are the key to exchanging data between nodes.
• Mule to convert message payload data to a format that another application can
understand.
• Mule uses Staged Event-Driven Architecture (SEDA) for core asynchronous
message processing in flows.
• Importantly, components don’t have to have any Mule-specific code.
• It can be simply be POJOs, Spring beans, Java beans, Groovy scripts, Python, JavaScript,
Ruby, and PHP or web services containing the business logic for processing data.
11. Mule Flow
• A flow is the most versatile and powerful
integration mechanism available in Mule.
• A flow is the construct within which you link
together several individual elements to handle the
receipt, processing, and eventual routing of a
message.
• You can connect many flows together to build a
complete application and each names should be
unique.
Private Flows, Sub Flows, Flow-Ref
12. Mule Message Structure
The Mule message is the data that passes through an application
via one or more flows. It consists of two main parts:
• The message header, which contains metadata about the
message.
• The message payload, which contains your business-specific
data.
• A Mule message is, itself, embedded within a Mule message
object.
• Some Mule message objects may contain variables,
attachments, and exception payloads
13. Mule Expression Language
Mule Expression Language (MEL) is the primary language used for formulating
expressions in Mule, allows us to access, manipulate, and use information from
the message and its environment.
• MEL is a lightweight and Mule-specific expression language that you can use to access and
evaluate the data in the payload, properties and variables of a Mule message.
• Accessible and usable from within virtually every message processor in Mule.
• MEL enables you to quickly and elegantly filter, route, or otherwise act upon the different
parts of the Mule message object.
#[message.inboundProperties.propertyName]
14. Properties & Variables
• The metadata contained in the message header consists of properties which
provide useful information about the message.
• Properties and Variables share a common format: each individual property or
variable has a name and a value.
• A message’s properties and variables have specific scopes that define and
organize how they apply across that message’s lifecycle.
15. • Properties have two main scopes: inbound and outbound.
• Inbound properties are immutable, are automatically generated by the message source and
cannot be set or manipulated by the user.
• Outbound properties are mutable; they are set during the course of a flow and can become
inbound properties when the message passes from the outbound endpoint of one flow to the
inbound endpoint of a different flow via a transport.
16. • Variables are user-defined metadata about a message. Variables have three scopes:
• Flow variables apply only to the flow in which they exist.
• Session variables apply across all flows within the same application.
• Record variables apply to only to records processed as part of a batch.
17. Anypoint Studio
• Palette (Message Processors)
1. Connector
2. Scope
3. Components
4. Transformers
5. Filters
6. Flow Control elements (or "Routers")
7. Error Handling
8. Security
18. Anypoint Connectors
• Anypoint Connectors receive or send messages between Mule and one or
more external sources.
• Connectors can act as message sources by working as inbound endpoints.
• Connectors can act as a message processor that performs an operation in the
middle of a flow.
• Connectors can be at the end of a flow and act as the recipient of the final
payload data.
19. Connectors in Mule are either endpoint-based or operation-based
Endpoint-Based Connectors
• Endpoint-based connectors follow either a one-way or request-response exchange pattern.
• Endpoint-based connectors are configured as either inbound or outbound endpoints in a flow.
• Inbound endpoints serve as a message source for a flow.
• Outbound endpoints can occur mid-flow or at the end of flows and send information to external
systems.
• Connectors often (but not always) named and based around a standard data communication
protocol
such as FTP and SMTP.
Operation-Based Connectors
• Operation-based connectors follow an information exchange pattern based on the operation that
you select and are often (but not always) named and based around one or more specific third-party
APIs.
• When you add an operation-based connector to your flow, you immediately define a specific
operation for that connector to perform.
Global Connector Configurations
20. Components
• Components are the message processors which is embedded with business
logic and it is executes on message.
• Components fall into three categories
1. General Components
2. Script Components
3. Web service Components.
21. • General Components
• General components execute whenever a message is received.
• The logic embedded into General components cannot be modified.
• Components such as the Logger and Flow Reference fall into this category.
• Script Components
Script components do not contain pre-packaged logic. Instead it allows the developer to specify the logic
(in the form of a custom script or a Java class) to add into the component.
• Script components also allow you to:
• Configure interceptors
• Add Spring beans
• Change the value or reference of a specific property within the associated class
• The Java Component allows you to reference a Java class.
• The other Script components support the Groovy, JavaScript, Python and Ruby scripting engines.
22. • Web Service Components
Web Service components provide or facilitate the developer in exposing, consuming, and
proxying web services with the framework to reference classes and API’s needed by RESTful and
SOAP Web services. These components let you add interceptors, bundled logic which executes
before the service is published, that run tasks such as scheduling or logging a specific event.
• The CXF component leverages the CXF framework, mule uses to support SOAP web services.
• The REST component work with Jersey to support REST Web services.
23. Scopes
• Scopes are also known as wrappers. mule scopes work to encapsulate other
message processors so that they function as a single unit.
25. Scopes explanation:
• Async scope:Creates a block of message processors that execute
asynchronously while the rest of the flow continues to execute in parallel.
For instance, you can populate an Async scope with a sequence of building
blocks that perform logging so that logging does not slow down the rest of
the application flow.
• Cache scope:Caches data produced by part of a flow. Wrap a cache scope
around message processors in your flow so that it caches the response events
produced within the scope
26. Scopes explanation
Composite Source:To accept incoming messages from multiple input
channels, place two or more message sources (also known as receivers) into a
Composite Source. A message entering the Composite Source on any
supported channel triggers the processing flow.
Foreach:Splits any type of message collection apart into individual messages
for processing, and then aggregate them again at the end of the scope.
27. Scopes explanation
Message Enricher:Appends information to a message, often using an
expression to determine what part of the payload to evaluate so as to return an
appropriate value to append to that payload. For example,the expression can
evaluate a ZIP code and then append the associated City and State to the
payload. The message processor is executed and the enricher scope uses the
result of that execution to enrich the message coming into the scope.
Until Successful:Attempts, at a specified interval, to route a message to an
embedded message processor until one of the following occurs:
28. Scopes explanation
• The message processor succeeds
• The maximum number of retries is reached
• An exception is thrown
Thus, Until Successful can prove useful in sending messages to resources, such
as shared printers, which might not always be immediately available.
29. Scopes explanation
Request-Reply Scope:The Request-Reply scope enables you to embed a
"pocket" of asynchronous processing within a Mule flow. This functionality
enables you to receive a response from an asynchronous flow without
hardcoding the destination of the response. For example, you can use request-
reply to convert a one-way VM or JMS flow to a request-response flow
without having to change it’s configuration. In other words, the request-reply
converts part of a synchronous process into an asynchronous one.
30. Scopes explanation
Request-reply consists of two parts:
•The request portion wraps the connector or outbound connector which submits an asynchronous request to another flow or an external resource
•The response portion wraps the connector or inbound connector which receives an asynchronous response from another flow or an external resource
31. Scopes explanation
• Poll scope:By default, Poll Scopes in Mule are set to poll a resource every
1000 milliseconds for new data. At times, you may wish to adjust the default
polling interval, or configure the polling schedule to follow a more
complex logic.
• The below details are on how to configure a polling schedule via two
methods made available in Anypoint Studio:
• Fixed Frequency Scheduler
• Cron Scheduler
32. Scopes explanation
Message Enricher:One common scenario involves the need to enrich an incoming
message with information that isn’t provided by the source system. You can use a
content enricher if the target system needs more information than the source system
can provide.
• Consider a message from a source system contains a zip code but the target system
needs the two letter state. A message enricher can be used to lookup the state using
the zip code from an enrichment resource. The enricher calls out to the enrichment
resource with the current message (containing the zip code) then enriches the
current message with the result.
33. Routers
Routers (Flow Controls ) route messages to various destinations in a Mule flow. Some routers
incorporate logic to analyze and possibly transform messages before routing takes place. For
example, various flow controls can:
• Split a message into several segments, then route each segment to a different building block
• Combine several messages into a single message before sending it to the next building block
in the flow
• Reorder a list of messages before sending it to the next building block
• Evaluate a message to determine which of several possible building blocks it should be
routed to next
• Broadcast the same message to multiple building blocks
35. Routers
APIkit Router :
Based on an API RAML file, it routes arriving calls to the corresponding flow
depending on the resource and method
Choice:
Evaluates a message against specified criteria, then sends it to the first message
processor that matches those criteria
36. Routers
Splitter :
Evaluates an expression which determines how it sections a message into two
or more parts. The Splitter then sends each of these message parts, in
sequence, to the next message processor in an application flow.
Collection Aggregator :
Checks the group tag (known as a Correlation ID) attached to each message in
a group to create a collection of messages which share the same Correlation
ID.
37. Routers
Collection Splitter :
Accepts a collection of messages (or parts of messages), splits them into
individual messages, then sends each new message, in sequence, to the next
message processor in a flow
Scatter Gather :
Sends a request message to multiple targets concurrently. It collects the
responses from all routes, and aggregates them into a single message
38. Routers
Message Chunk Splitter :
Sections a message into segments of a specified length, then sends each
segment, in sequence, to the next message processor in a flow. This is
particularly useful when the message recipient cannot accept messages longer
than a specified length
39. Routers
Message Chunk Aggregator :
Checks the group tag (Correlation ID) of each message in a collection, selects
all the messages whose group tag matches the specified value, then combines
those messages into a single message which is then sent to the next message
processor in an application flow. This is particularly useful for re-assembling
the segments of a long message that has been received as multiple messages,
each one consisting of a segment of fixed length created and sent by the
Message Chunk Splitter
40. Routers
Resequencer :
Accepts a collection of messages, then uses the Sequence ID of each message
to reorder those messages. It then sends the messages (in order of their new
sequence), to the next message processor in an application flow.
SOAP Router :
Based on a WSDL file, it routes arriving calls to the corresponding flow
depending on the resource and method