In this course you will learn the basic Inventory Applications that enable you to create items that will be ordered through various vendors and how to setup units of measure that determine quantities that are ordered and issued. We will also discuss what rotating and non-rotating items are and their differences and setting up condition enabled items.
This course provides students with an understanding of how to create new users in Maximo Manage and manage labor, crafts, and calendar records through specialized applications. We will also use conditional expressions and control properties to implement conditional security. There is also hands-on lab exercises using a Red Hat OpenShift MAS Manage environment.
This instructor led course provides students with an understanding of how to create a new Organization and Site in Maximo Manage and discuss the core options available in the Organizations application. They will also be able to create classifications and Location records. Students will learn about topics such as Multi-Organization strategy, GL Account setup and Organization Options. This course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment.
This course provides students with an understanding of how purchasing and contracts are managed in MAS Manage including the overall Procurement process and lifecycle, creation of Purchase Orders, Purchase Requests, Invoices, RFQs and contracts. Students will learn about Purchasing and Contracts Applications that enable items to be ordered from vendors, and Purchase Order creation and Invoice Reversal. There is also hands-on lab exercises using a Red Hat OpenShift MAS Manage environment.
This 2-day instructor led course provides students with an understanding of how Preventive Maintenance is configured in Maximo Application Suite - Manage including the creation of time and meter based Preventive Maintenance schedules, Master PMs, PM Hierarchies and PM Forecasting. Students will learn about topics such as Repair Facilities and Job Plan Sequencing. This course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment.
In this course you will learn the basic Purchasing and Contracts Applications that enable your order items from internal and external vendors. We will also discuss the different types of procurement documents including RFQs, PRs, POs Invoices and Receipts.
In this course, we will look at how to create new users in Maximo Manage and manage labor, crafts, and calendar records through specialized applications. We will also use conditional expressions and control properties to implement conditional security.
In this course, we will look at how to create a new Organization and Site in Maximo Manager and walk through some of the options available in the Organizations application. We will also explore the creation of classifications and Location records. After learning about these concepts, practice what you have learned by doing the hands-on lab exercises.
In this course you will learn a range of topics in Maximo Health that includes Assets and locations dashboard, Matrix View, scoring of the assets based on Health and other parameters, Work Queues, Actions that one can take on the asset and optimize the investment using the asset investment optimizer feature.
In this course we will look at how Preventive Maintenance is configured in Maximo Application Suite - Manage including the creation of time and meter based Preventive Maintenance schedules, Master PMs, PM Hierarchies and PM Forecasting. After learning about these concepts, practice what you have learned by doing the hands-on lab exercises.
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.
This course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage v11.7. The emphasis is on developers. Only administrative functions that are relevant to DataStage developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.
This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. This course covers common data quality issues, QualityStage architecture, QualityStage clients and their functions, importing metadata, running jobs and reviewing results, building Investigate jobs, the Standardize stage and rule sets, identifying matching records and applying multiple Match passes, building a Survive job, and using a Two-Source match.Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.
This course provides participants with a high-level overview of the IBM Cognos Analytics Dashboard tool and its underlying architecture. They will explore the powerful features of IBM Cognos Analytics dashboards to transform raw data into actionable insights. Through interactive lessons, practical exercises, and real-world scenarios, learners will gain the skills to create, customize, and share dynamic dashboards that drive data-informed decisions.Learners will gain hands-on experience through exercises that enhance their ability to create and customize dashboards, stories, and explorations.By the end of this course, learners should be proficient in creating and customizing dashboards, using Cognos Analytics tools and AI Assistant, integrating and visualize data from multiple sources, employing advanced features like 3D maps, forecasting, and drill-through definitions to enhance insights, and much more.
This course teaches Professional Report Authors about advanced report building techniques using relational data models, and ways of enhancing, customizing, and managing professional reports. The course builds on topics presented in the Fundamentals course. Attendees will participate in interactive demonstrations and exercises that illustrate key concepts while learning how to use advanced features in the product builds on topics learned in the Fundamentals course.
Students will explore IBM Cognos Analytics report authoring and different report object types (list, crosstab, chart, visualization, etc.). They will also create and format reports using grouping, headers, footers, and other formatting options. Also covered is the ability to focus reports by filtering data and using prompts. Students will learn to add value to reports using calculations and additional report-building techniques as well as how to enhance reports with advanced formatting and exceptional data highlighting.
This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration.
This course provides a high-level overview of the IBM Cognos Analytics Data Module tool and its underlying architecture to provide learners with the skills necessary to master data modeling using the web-based, self-service capabilities of IBM Cognos Analytics Data Modules. Learners will explore the essential steps in building data modules, from understanding the purpose and workflow of data modeling to creating, refining, and optimizing data structures. The course covers various topics, including relationship joins, data enrichment with calculations and filters, creating navigation paths, and managing data security. Learners will gain hands-on experience through exercises that enhance their ability to create and customize data modules, ensuring consistency and usability for reporting, dashboarding, and exploration purposes. By the end of this course, learners should be proficient in developing data modules that integrate multiple data sources, support business analysis, and facilitate informed decision-making within the IBM Cognos environment.
This course provides participants with a high level overview of the IBM Cognos Analytics suite of products and their underlying architecture. They will examine each component as it relates to an Analytics solution. Participants will be shown a range of resources to provide additional information on each product.
Enterprises are creating, analyzing and keeping more data than ever before. An organization’s underlying storage must support new-era big data and artificial intelligence workloads along with traditional applications while ensuring security, reliability and high performance. IBM Storage Scale meets these challenges as a high-performance solution for managing data at scale. This course is intended for IT professionals tasked with administering a Storage Scale storage cluster consisting of Linux nodes. The course includes information on various Storage Scale features that enable remote access to data that is stored in a cluster file system. This includes: multi-cluster support, clustered NFS, cluster export services (CES) and protocol support (NFS, SMB, and Object), Active File Management (AFM), and AFM-based Asynchronous Disaster Recovery (AFM DR). The features are described in lecture materials and implemented in lab exercises.