This course is designed to prepare students to install and configure a highly available cluster using PowerHA System Mirror.
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This AN30G: Power Systems for AIX – PowerVM I Implementing Virtualization course provides an overview of the PowerVM edition’s features on POWER processor-based systems. It explains the new features and benefits of virtualization including processor virtualization, Virtual I/O Server, and virtual devices, such as virtual Ethernet, virtual SCSI, and virtual Fibre Channel adapters. Basic and advanced configurations of the Virtual I/O Server and its clients are discussed including various availability options.
Expand your knowledge about PowerVM features that were introduced in Power Systems for AIX I: LPAR Configuration and Planning (AN11G).
This course provides lectures and hands on labs in an instructor lead course environment, either in a face-to-face classroom or in a live virtual classroom environment (ILO – Instructor Led Online).
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This course will teach you how to use shell scripts and utilities for practical system administration of AIX (or other UNIX) operating systems.
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This course enables you to perform everyday tasks using the AIX operating system. Learn to perform everyday tasks using the AIX operating system.
This course provides lectures and hands on labs in an instructor lead course environment, either in a face-to-face classroom or in a live virtual classroom environment (ILO – Instructor Led Online). The lab images are using the AIX 7.2 operating system.
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This course is designed from a user’s perspective. The students are not required to have any prior knowledge of AIX or any other UNIX-based system.
The course units have been designed in a logical order to enable the novice user to identify the major components of AIX. The students are introduced to the operating system by logging in and out of the system and carrying out a few basic operations. The hierarchical tree structure is explained in detail, as well as functions that can be carried out on files and directories. The concept of a shell is introduced and the operations that are supported through it. The one editor that is covered is vi, as it is available on most UNIX platforms. The concept of users owning jobs and processes is introduced, including the environment in which processes execute. Finally, to pull together all the ideas from the previous units, a few useful tools are introduced which help users customize their environments and write very simple shell scripts.
This course provides content and hands on labs in self paced virtual class (SPVC) environment.
NEW!
Upon meeting course and badge completion criteria, students may receive an IBM issued badge:
Power AIX User Essentials badge –> https://www.youracclaim.com/org/ibm/badge/power-aix-user-essentials -
Are you getting ready to administer database security policies? Learn how to configure Guardium V11 to discover, classify, analyze, protect, and control access to sensitive data. You will learn to perform vulnerability assessment, and how to monitor data and file activity. This course also teaches you how to create reports, audits, alerts, metrics, and compliance oversight processes.
*Please note: This is a self-paced virtual course, containing course manuals and an online lab environment, only. No audio or video is provided for this course.
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This course goes through the stages of a data science project from importing data to deployment, using services in Watson Studio and Watson Machine Learning for Cloud Pak for Data.
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This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System. This WBT contains instructional and interactive content, demonstrations and hands-on simulated exercises.
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IBM SPSS Modeler is a premium service for IBM Cloud Pak for Data V3.0.x This 6X334G: IBM SPSS Modeler for IBM Cloud Pak for Data v3.x WBT course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler for Cloud Pak for Data.
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This course is designed to teach data scientists, Operational Research specialists, and business analysts how to build, run and deploy basic optimization models using IBM Decision Optimization on IBM Cloud Pak for Data. You will learn how to create projects to manage your resources, use the user-friendly Model Builder interface to build, run and visualize models, use different methods to formulate models, including using the Modeling Assistant for formulate your model in natural language. You will also learn how to import and use python notebooks to create your models, and how to deploy the solution to end users within Cloud Pak for Data.
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This offering provides analysts an introduction to the basics of IBM Watson Knowledge Catalog on IBM Cloud Pak for Data. Learners will be introduced to the Cloud Pak for Data product layout and functionality and the role of services within the product. They will learn to access the Watson Knowledge Catalog through the service, and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.
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This offering teaches you how IBM Watson OpenScale on IBM Cloud Pak for Data lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production. Note: This course contains the same topics as W7069G Watson OpenScale Methodology WBT.
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This offering provides analysts with an introduction to create embedded dashboards in Cloud Pak for Data, as well as dashboards and reports using the Cloud Pak for Data’s Cognos Analytics service
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This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System.
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This 6X235G: IBM Cloud Pak for Data v2.5.x Data Virtualization learning offering will focus on the Data Virtualization add-on to IBM Cloud Pak for Data. Students will learn about the Data Virtualization technology and be able to create connections to remote data sources.
The offering will also cover how to create and manage virtual assets, such as database tables or views, from the remote data sources. Finally, the students will use those assets within IBM Cloud Pak for Data without needing to move any data.
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SPSS Modeler is available on IBM Cloud Pak for Data V2.5. This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler on Cloud Pak for Data.
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This course provides students with an understanding of the configurations required to map participants in a supply chain to the corresponding roles in Sterling Order Management. The course also teaches students the process of setting up the Sterling Selling and Fulfillment Foundation business process workflow. This course is primarily designed for developers and implementers. This course begins with an overview of Sterling Order Management and the business models it supports. The course then describes how to define participants and create organizations and users. Through a combination of procedural information and exercises, students will learn about topics such as how to assign attributes to the different roles defined in Sterling Order Management and configure user access policies. The course also covers Process Modeling features, including how to set up a business process workflow for an organization. Students are then introduced to statuses, conditions, transactions and other components of a process type pipeline. The course then describes how to create a process type of pipeline.
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This 2-days 6F86G: IBM Sterling File Gateway Managing Sterling File Gateway course introduces the student to the Sterling File Gateway functionality and provides the specific technical skills needed to deploy and support it. The course provides an overview of the features and provides hands-on exercises for creating routing templates, transforming file names, searching for files within a route, and reporting on file transfers.
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This 3-day instructor-led course provides the skills necessary to use and manage IBM Sterling Connect:Direct in the Unix environment. This course is valuable for end-users and application programmers intending to use Sterling Connect:Direct. It is also valuable to systems administrators, operators, production control personnel, help desk staff, and support personnel responsible for Sterling Connect:Direct operations.
This course explains the Unix environment for Sterling Connect:Direct, installation and configuration procedures, process language, and interfaces. The students will also learn the components of different user interfaces of Sterling Connect:Direct and troubleshooting methods.
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Do you want to find duplicates and perfect a search algorithm for your InfoSphere MDM Physical implementation? Then this course is designed for you. The InfoSphere MDM V11 Physical Module Algorithms course prepares you to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for the Physical MDM implementation.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
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This 2Z930G: InfoSphere MDM Physical Domains course is designed for anyone who wants to get an understanding of the Data Domains for the InfoSphere Master Data Management Physical Module. This course takes a comprehensive look at the three core data domains of InfoSphere MDM: Party, Account, and Product. For each of the domains spanned by InfoSphere MDM, participants will be exposed to the data model, services, and rules associated with the main entities of that domain. Heavy emphasis is put on exercises and activities so that the participants can apply the knowledge that they learn after course conclusion.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
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Do you want to find match member records, link member records, and perfect a search algorithm for your InfoSphere MDM Virtual implementation? Then this course is designed for you. The InfoSphere MDM Virtual Module Algorithms v11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for a Virtual MDM implementations. The PME is the heart of all Matching, Linking, and Searching for entities (Person, Organization, etc) that exist in InfoSphere MDM. This course has a heavy emphasis on the exercises, where the students will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation. At the end of this course it is expected students will feel comfortable customizing an algorithm for the PME for a Virtual implementations.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
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This 2Z840G: InfoSphere MDM Workbench v11 course is designed for anyone who wants to get an understanding of how to use and customize the InfoSphere Master Data Management using the InfoSphere MDM Workbench. This course takes a participant through the process customizing both the Virtual and Physical MDM using the InfoSphere MDM Workbench. The focus of the course is on the core features of the Workbench: Creating a Physical MDM Addition, creating a Physical MDM Extension, creating a Physical MDM Behavior Extension, creating a composite service, deploying a Virtual MDM configuration, configuring the Virtual Data Model, creating a Virtual custom Composite View, creating a Virtual Callout Handler, generating an enterprise service interface using the Virtual data model and customizing a Hybrid implementation.
For each core area, the instructor will explain the high-level concepts, have the participants work with the feature and then demo and review the feature details. Heavy emphasis is put on exercises and activities, allowing course participants to apply the knowledge that they learn in the classroom, after course conclusion.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
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In this 2M803G: IBM Information Analyzer Essentials v11.5 course, you will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Information discovered during analysis will be used to construct data rules. This course will also explore techniques for delivering data analysis results to ETL developers and demonstrate how to develop more meaningful meta data to reflect data discovery results. An information analysis methodology and a case study will be used to guide exercises.
