App Programmierung Schulungen finden - Das passende Seminar in Ihrer Nähe

Overview

Learn the concepts of Logical Partitioning (LPAR) for Power Systems with IBM i. In this course you begin with an overview of LPAR on Power Systems, followed with more detailed information on configuration planning and implementation using hands-on exercises to create and implement logical partitions.

Also, learn about partial processors, dynamic allocation and reallocation of memory, processors, interactive Commercial Processing Workloads (CPW), buses, Graphical User Interface (GUI), Virtual Local Area Network (VLAN), Host Ethernet Adapters (HEA) and System Planning Tool (SPT). In this course you will use IBM Power Systems including the Hardware Management Console (HMC).

Overview

Learn the concepts of Logical Partitioning (LPAR) for Power Systems with IBM i. In this course you begin with an overview of LPAR on Power Systems, followed with more detailed information on configuration planning and implementation using hands-on exercises to create and implement logical partitions.

Also, learn about partial processors, dynamic allocation and reallocation of memory, processors, interactive Commercial Processing Workloads (CPW), buses, Graphical User Interface (GUI), Virtual Local Area Network (VLAN), Host Ethernet Adapters (HEA) and System Planning Tool (SPT). In this course you will use IBM Power Systems including the Hardware Management Console (HMC).

„Testautomatisierung“ - jeder will sie, aber die wenigsten beherrschen sie!

Speziell bei kurzen Iterationen in der agilen Entwicklung bleibt für umfangreiches manuelles Testen keine Zeit mehr. Da sind automatisierte Tests unabdingbar. Ähnliches gilt auch für klassisch orientierte Entwicklungsansätze.

Aber: Schlechte Testautomatisierung kostet mehr als sie einspart. Der Grundsatz „Qualität kostet nicht, sondern spart“ gilt besonders für automatisierte Tests. Je höher die Qualität deiner automatisierten Testläufe (Nightly-/Daily oder Weekly-Builds) umso höher ist ihr Nutzwert.

Dieses 3-tägige Seminar ist unabhängig von deiner Entwicklungsmethode. Egal ob Wasserfall oder Agile, die handwerkliche Umsetzung der Testautomatisierung basiert auf vergleichbaren Grundsätzen. Wir zeigen dir wie du deine Tests so automatisierst, dass sie sowohl wartbar als auch selbstständig ausführbar werden. Unabhängige Tests im richtigen Abdeckungsgrad die verständlich, automatisiert und wiederholbar ausgeführt werden können, sind das Ziel dieses Seminars.

Du erlernst das Handwerkszeug eines guten Testautomatisierers. Vor- und Nachbedingungen von Testfällen sind ebenso wichtig wie sinnvolle Gruppierung und eine solide Datenbasis (Stichwort: Testdatenmanagement). Du bekommst einen tiefen Einblick in die wichtigen methodischen Werkzeuge um in kurzen Iterationen deine Tests auszuführen. Wir zeigen dir, wie du die 10 goldenen Regeln des Testautomatisierens berücksichtigst, damit deine Tests in Zukunft automatisiert laufen, das Vertrauen in die Testergebnisse hoch ist und Qualität sich wieder lohnt.

Im Kurs tauchen Sie tief in die Welt von Entity Framework Core mit .NET ein. Sie beginnen mit den grundlegenden Konzepten und Vorteilen von EFC. Sie lernen alles über Entity-Klassen und ...

Overview

In this course, the learner is guided through a realistic data science project. The project focuses on extracting business insights from large amounts of unstructured voice data, by using IBM Watson APIs. Starting from voice recorded customer reviews, the data are transcribed by using Watson Speech to Text and then are analyzed for emotion and keywords by using Watson Discovery. The structured results are stored in a tabular form and used to extract business insights in Watson Studio.

 

The course focuses on hands-on coding exercises that provide an opportunity to work with Watson Studio, Watson Discovery, and Watson Speech to Text. The exercises guide the learner on importing data and manipulating in a Watson Studio project, activate instances of installed services, and authenticate API connections by using Jupyter Notebooks. The exercises also introduce how to configure Watson Speech to Text and create custom language models, work with Watson Discovery, and introduce enrichments. Also, every exercise demonstrates suitable data manipulation that results in saved structured data.

 

The three hands-on exercises are included in this course, each focusing on a Jupyter Notebook and correspond to the three modules of the course. The necessary data, notebooks, and services are all available in the corresponding lab environment.

Overview

This course is also available as self-paced virtual (e-learning) course IBM MQ V9.1 System Administration (ZM156G). This option does not require any travel.

 

This course teaches you how to customize, operate, administer, and monitor IBM MQ on-premises on distributed operating systems. The course covers configuration, day-to-day administration, problem recovery, security management, and performance monitoring. In addition to the instructor-led lectures, the hands-on exercises provide practical experience with distributed queuing, working with MQ clients, and implementing clusters, publish/subscribe messaging. You also learn how to implement authorization, authentication, and encryption, and you learn how to monitor performance. 

 

Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM i.

Overview

This course is also available as self-paced virtual (e-learning) course IBM MQ V9.1 System Administration (ZM156G). This option does not require any travel.

 

This course teaches you how to customize, operate, administer, and monitor IBM MQ on-premises on distributed operating systems. The course covers configuration, day-to-day administration, problem recovery, security management, and performance monitoring. In addition to the instructor-led lectures, the hands-on exercises provide practical experience with distributed queuing, working with MQ clients, and implementing clusters, publish/subscribe messaging. You also learn how to implement authorization, authentication, and encryption, and you learn how to monitor performance. 

 

Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM i.

DevOps ist ein sehr erfolgreicher Ansatz, um die Prozesse von Softwareentwicklung (Development) und Betrieb (Operation) effizienter zu gestalten und die Qualität der Software zu erhöhen. Dies wird erreicht durch eine Zusammenarbeit, Integration und Automatisierung des Arbeitsflusses. Mit diesem DevOps PROFESSIONAL – Training erlernen Sie nicht nur die wichtigsten Grundlagen, sondern Sie erwerben auch ein wertvolles Zertifikat. Die Prüfung wird im Seminar abgelegt und ist im Preis bereits inbegriffen.

Overview

IBM DataPower Gateway Appliances are network devices that help secure, integrate, and optimize access to web, web services, mobile, and API workloads. Through instructor-led lectures and hands-on lab exercises, you learn how to run various administrative procedures, from initial installation and setup through ongoing maintenance of the appliances in production. You learn about the available management interfaces, such as the command-line interface (CLI), Web Management graphical interface, and XML Management Interface. You also learn how to use these interfaces to run various administrative tasks, such as upgrading firmware, running backup and restore operations, and configuring user accounts and domains. The course includes some information on upgrading firmware and working with DataPower hardware appliances.

This course exercises uses the following appliances:

• DataPower Gateway Virtual Edition

Information in the course units also applies to other DataPower appliances.

The lab environment for this course uses the Ubuntu Linux Operating System on an ESX image that runs on the IBM Remote Lab Platform.

Overview

This course teaches Information Server and/or DataStage administrators to configure, manage, and monitor the DataStage Engine which plays a crucial role in Information Server.  It not only runs high-performance parallel ETL jobs designed and built-in DataStage, but also supports other Information Server products including Information Analyzer, QualityStage, and Data Click.  After introducing DataStage parallel jobs and the Engine that runs them, the course describes DataStage project configuration, the Engine’s development and runtime environments, and the Engine’s data source connectivity.  In addition, the course explains how to import and export DataStage objects, how to run and monitor DataStage jobs through the command line and GUI, and how to use some important Engine utilities.