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687 result(s) for "Telecommunication Message processing."
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RabbitMQ essentials
RabbitMQ is above all other forms of message queuing software thanks to its loosely coupled architecture and its ability to bind multiple languages, making modern web applications secure, scalable, and simple to maintain. Armed with this supportive guide, you now have the opportunity to get stuck into developing your own message-based applications immediately with RabbitMQ. Using the fictitious Clever Coney Media as a case study, you will follow their journey of developing with RabbitMQ, from implementing simple, synchronous get operations to using advanced message routing and tracking the messaging application. With RabbitMQ Essentials, you will observe how using message queuing software can streamline the development of your own distributed and scalable applications.
WebSphere BI for FN for z/OS V1.1.0 Installation and Operation
This IBM Redbooks publication provides a comprehensive and detailed guide to the installation and configuring of the recently released products WebSphere BI for FN Base and Extension. These products are primarily designed to provide support for message processing over the new SWIFT Secure IP Network (SIPN) and provide a well-architectured platform for future applications.This book has been prepared as a response to questions from customers regarding the installation, configuration, and operations of WebSphere BI for FN.During the residency several other relevant topics were identified and included in the book. The new topics include a discussion of the WebSphere BI for FN environment covering high availability considerations, performance issues, and security requirements.Also, a section has been included with updated information regarding the importance of understanding the use and definition of roles, users, and user groups for customization.
Apache Kafka Quick Start Guide
Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0Key FeaturesSolve practical large data and processing challenges with KafkaTackle data processing challenges like late events, windowing, and watermarkingUnderstand real-time streaming applications processing using Schema registry, Kafka connect, Kafka streams, and KSQLBook DescriptionApache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the fly. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines.This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment.Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows.What you will learnHow to validate data with KafkaAdd information to existing data flowsGenerate new information through message compositionPerform data validation and versioning with the Schema RegistryHow to perform message Serialization and DeserializationHow to perform message Serialization and DeserializationProcess data streams with Kafka StreamsUnderstand the duality between tables and streams with KSQLWho this book is forThis book is for developers who want to quickly master the practical concepts behind Apache Kafka. The audience need not have come across Apache Kafka previously; however, a familiarity of Java or any JVM language will be helpful in understanding the code in this book.
Messaging Solutions in a Linux Environment
Recently, the adoption of Linux as a platform for business-critical applications has increased significantly. This evolution has also introduced requirements and technologies that were previously not seen in a Linux environment. Messaging and integration products, such as WebSphere MQ and WebSphere BI Message Broker, can now be used on Linux to solve integration problems that include Linux platforms.This IBM Redbooks publication starts with an introduction of messaging and integration technologies to Linux users. It also introduces the world of Linux to people that are familiar with messaging and integration technologies on other platforms.This book ends with a discussion of a few monitoring techniques that can be implemented in a Linux environment, so that a messaging solution can be monitored.Please note that the additional material referenced in the text is not available from IBM.
MQTT essentials
This step-by-step guide will help you gain a deep understanding of the lightweight MQTT protocol. We’ll begin with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. Then, you will use best practices to secure the MQTT Mosquitto broker to ensure that only authorized clients are able to publish and receive messages. Once you have secured the broker with the appropriate configuration, you will develop a solution that controls a drone with Python. Further on, you will use Python on a Raspberry Pi 3 board to process commands and Python on Intel Boards (Joule, Edison and Galileo). You will then connect to the MQTT broker, subscribe to topics, send messages, and receive messages in Python. You will also develop a solution that interacts with sensors in Java by working with MQTT messages. Moving forward, you will work with an asynchronous API with callbacks to make the sensors interact with MQTT messages. Following the same process, you will develop an iOS app with Swift 3, build a website that uses WebSockets to connect to the MQTT broker, and control home automation devices with HTML5, JavaScript code, Node.js and MQTT messages
WebSphere Business Integration Message Broker Basics
This IBM Redbooks publication provides an overview of the latest release of WebSphere Business Integration Message Brokers and the new Message Brokers Toolkit for WebSphere Studio.It covers the following topics: - Installing WebSphere Business Integration Message Broker and WebSphere Business Integration Event Broker on Windows - Creating and verifying a default configuration - Developing a simple message flow and message set in the Message Brokers Toolkit - Deploying a message flow application to a broker - Diagnosing and fixing problemsThe book also describes where to find more information, including product documentation and sample applications.