Camel Development with Red Hat® JBoss® Fuse (JB421) is a hands-on, lab-based course that gives Java™ developers and architects an understanding of apache Camel and the enhancements and tools Red Hat offers in support of Camel development. Camel development is organized around: Routes that define a sequence or flow of processing through one or more processors and endpoints Processors that massage, interpret, and modify messages within a Camel flow. ...

Red Hat JBoss A-MQ Development and Deployment (JB437) is a two-day course that gives Java™ developers and architects an understanding of the key concepts associated with Java Message Service (JMS) and apache ActiveMQ. Key concepts associated with JMS and apache ActiveMQ - Fabric—including topologies, protocols, message groups virtual destinations, failover and high-availability. Students will lea> how apache ActiveMQ - Fuse Message Broker can be used with multiple communicat ...

Study points for the exam To help you prepare, the exam objectives highlight the task areas you can expect to see covered in the exam. Red Hat reserves the right to add, modify, and remove exam objectives. Such changes will be made public in advance. Candidates for the Red Hat Certificate of Expertise in Camel Development should be able to: Create and maintain Camel routes Use the Java ™ language Use the CamelContext XML Exchange messages Body In - out Headers Attachments Consume and produce files CSV format XML format Work with databases and the Camel JPA component Understand transactional routes Use EIPs Content-based routing Wire Tap Splitter Aggregator RecipientList Use Camel components File2 FTP JPA2 JMS Direct Use Camel Test Mock endpoints JUnit 4 integration and CamelTest * The following audiences may be interested in earning the Red Hat Certificate of Expertise in Camel Development: Enterprise Java developers who are familiar with service-oriented architecture (SOA) principles and are responsible for integrating enterprise applications. Enterprise SOA architects with some Java development experience and knowledge of enterprise integration. Study points for the exam To help you prepare, the exam objectives highlight the task areas you can expect to see covered in the exam. Red Hat reserves the right to add, modify, and remove exam objectives. Such changes will be made public in advance. Candidates for the Red Hat Certificate of Expertise in Camel Development should be able to: Create and maintain Camel routes Use the Java ™ language Use the CamelContext XML Exchange messages Body In - out Headers Attachments Consume and produce files CSV format XML format Work with databases and the Camel JPA component Understand transactional routes Use EIPs Content-based routing Wire Tap Splitter Aggregator RecipientList Use Camel components File2 FTP JPA2 JMS Direct Use Camel Test Mock endpoints JUnit 4 integration and CamelTest APIs Dynamically route messages Use conditional routes Use data-driven routes Handle exceptions Catch and handle exceptions Use the dead-letter queue Scores and reporting Official scores for exams come exclusively from Red Hat Certification Central. Red Hat does not authorize examiners or training partners to report results to candidates directly. Scores on the exam are usually reported within 3 U.S. business days. Exam results are reported as section scores. Red Hat does not report performance on individual items, nor will it provide additional information upon request. Prerequisites Red Hat recommends that candidates for this exam ea> EX225 - Red Hat Certified JBoss Developer (RHCJD) before attempting this exam, but it is not required. Exam candidates should: Have taken the Camel Development with Red Hat JBoss Fuse (AD421) course or have extensive work experience in enterprise integration using apache Camel Have familiarity working in a Red Hat Enterprise Linux ® environment Review the Red Hat Certificate of Expertise in Camel Development exam (EX421) objectives Recommended courses AD421 - Camel Development with Red Hat JBoss Fuse ...

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for securi ...

Popis Kurz účastníky seznámí s podstatnými rysy vykazování podle IFRS a na příkladech budou ukázány základní rozdíly mezi IFRS a českými účetními předpisy. Seminář bude orientován hodně prakticky s cílem, aby mohly být získané poznatky ihned přeneseny do praxe. Koncepční rámec a účetní závěrka podle IFRS (IAS 01.) Oblast majetku ...

Data has become an integral part of every organization, be it small or large; and maintaining it in a proper form has become difficult. Hadoop is a revolutionary opensource framework for software programming that took the data storage and processing to next level. Hadoop platform is used for structuring data and solves formatting problem for subsequent analytic purposes. Hadoop Administration is one of the specialization areas of Hadoop framework which helps in Hadoop in ...

Kurz Ukládání a analýza logů s Elastic Stack je ideální volbou pro ty, kdo chtějí proniknout do hloubky práce s Elastic Stack a efektivně řešit sběr, správu a analýzu velkých objemů dat. Účastníci se naučí nejen základy ukládání logů, ale také pokročilé techniky pro vyhledávání, vizualizaci a monitorování dat pomocí Kibany. Důraz je kladen na praktické použití Elasticsearch a Kibany, včetně návrhu clusteru, konfigurace a optimalizace pro sběr dat z různých zdrojů. Kurz zahrnuje také detail ...

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apache Spark se rychle stal jedním z nejpopulárnějších frameworků pro zpracování dat. Jeho univerzální API stejně jako široká škála analytických nástrojů vybudovaných jako nadstavba nad Sparkem ho předurčují jako dobrou volbu pro efektivní zpracování různých typů dat (jak v podobě streamu, tak i pro klasické batch zpracování). V tomto kurzu se podíváme na celou řadu možných použití Sparku ať už jako vysoce škálovatelného ETL nástroje s použitím Spark SQL nebo jako nástro ...

Apache Spark je distribuovaný výpočetní engine, který poskytuje unifikovaný framework pro zpracování velkých objemů dat, interaktivní analýzu, machine learning, analýzu grafu a streaming. V průběhu posledních několika let se stává standardem pro zpracování těchto workloadů a to nejen v prostředí velkých dat. Jedním z důvodů proč roste popularita Sparku je také jeho programové API, neboli tzv. DataFramy, které nabízejí univerzální datovou abstrakci, již je možné použít ve všech výše zmíněných obl ...

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Camel Development with Red Hat® JBoss® Fuse (AD421) is a hands-on, lab-based course that gives Java™ developers and architects an understanding of apache Camel and the enhancements and tools Red Hat offers in support of Camel development. Camel development is organized around: Routes that define a sequence or flow of processing through one or more processors and endpoints Processors that massage, interpret, and modify messages within a Camel flow. ...