113 Courses

Duration 5 Days 30 CPD hours This course is intended for Implementers and administrators who are new to IBM Spectrum Protect data management. Overview Describe the purpose of IBM Spectrum Protect Install and configure the IBM Spectrum Protect components Use the administrative and client interfaces Discuss storage methodology options and create storage pool Customize data movement and retention policies to meet business requirements Configure the IBM Spectrum Protect database and storage pools for protection Optimize client configuration Perform backup, restore, archive and retrieve operations Organize daily tasks required to protect the IBM Spectrum Protect environment Automate and monitor client and administrative tasks and events IBM Spectrum Protect 8.1.12 is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum Protect offers improved efficiency and flexibility using object-based data management and policy driven retention.This five-day course will focus on implementation and basic administration of an IBM Spectrum Protect environment. The hands-on lab exercises are performed on a Windows 2016 environment. The course materials include examples of AIX and Linux commands, when different from Windows. Unit 1 Concepts and components Unit 2 Installation and configuration Unit 3 Interfaces and monitoring Unit 4 Storage pools and devices Unit 5 Policy management, data movement, and expiration Unit 6 Server database and storage pool management Unit 7 Client configuration and management Unit 8 Client data protection Unit 9 Daily operations and maintenance Unit 10 Schedules and reports Additional course details: Nexus Humans TS619G IBM Spectrum Protect version 8.1.12 Implementation and Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the TS619G IBM Spectrum Protect version 8.1.12 Implementation and Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This basic course is for: Business Analyst Systems Engineer Software Engineer Requirements Engineer Requirements Manager Requirements Team Leader Overview Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data This course builds on the content learned in the IBM Engineering Requirements Management DOORS V9.6 Foundation course. It is designed for those who will be in the role of team lead or project manager, or who want to learn more about advanced DOORS end-user functionality. It discusses creating and structuring DOORS projects, defining linking relationships and attributes, setting access permissions, and managing change. It also discusses external linking, working with spreadsheets, and applying configuration management strategies to DOORS data. Course Outline Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data

Duration 5 Days 30 CPD hours This course is intended for This course is for administrators and users who are responsible for planning, administrating and configuring an IBM FileNet P8 Platform system Overview Introduction to IBM FileNet P8 Platform - IBM FileNet P8 Platform features - IBM FileNet P8 Platform integration options - IBM FileNet P8 Platform components - IBM FileNet P8 Platform solutions Architecture and domain structures - IBM FileNet P8 Platform Architecture - Explore the core IBM FileNet P8 Platform applications - Locate P8 domain structures - Use IBM Content Navigator Manage logging - View and archive system logs - Configure trace logging Configure auditing - Create audit definitions - Prune audit entries Manage storage areas - Create a file storage area - Create a storage policy - Create an advanced storage area Build an object store - Create JDBC data sources for an object store - Create an object store - Add the repository to an IBM Content Navigator desktop Create property templates and classes - Create a choice list - Create property templates - Create document and folder classes Modify classes and properties - Change the property template name - Modify a choice list - Work with metadata dependencies Use events to trigger actions - Create a subscription with an event action - Update the event action with new code module Configure security for IBM FileNet P8 assets - Configure initial object store security - Use the Security Script wizard - Configure default instance security - Configure security inheritance - Implement designer group access - Configure role-based access Use bulk operations - Use bulk actions to modify security for multiple documents - Use bulk operations to cancel checkout of documents Configure content-based retrieval searches - Register IBM Content Search Services - Configure index partitioning - Configure content-based indexes - Create content-based searches Work with sweeps - Configure a bulk move content job - Create a disposal policy - Create a content migration policy Move IBM FileNet P8 Platform applications between environments - Configure a destination environment - Create a source environment - Export the FileNet P8 application assets - Convert and analyze the FileNet P8 assets - Import the application assets - Run a change impact analysis in command line Introduction to IBM FileNet P8 content services containers - IBM FileNet P8 content services containers - Benefits of containers - Considerations when choosing containers Organize content across the enterprise - Plan for Multitenancy - Isolate content in an IBM FileNet P8 platform system This course teaches you the configuration and administration of an IBM FileNet P8 Platform 5.5.x system. It introduces you to the key concepts of IBM FileNet P8 Platform architecture and organizing the content across the enterprise. You will learn how to build content repositories, configure metadata, create storage areas, manage security, logging, and auditing, run bulk processing, use the sweep framework, extend the functionality with Events and Subscription, migrate and deploy FileNet P8 assets between environments, and configure content-based retrieval searches Introduction to IBM FileNet P8 Platform IBM FileNet P8 Platform features IBM FileNet P8 Platform integration options IBM FileNet P8 Platform components IBM FileNet P8 Platform solutions Architecture and domain structures IBM FileNet P8 Platform Architecture Explore the core IBM FileNet P8 Platform applications Locate P8 domain structures Use IBM Content Navigator Manage logging View and archive system logs Configure trace logging Configure auditing Create audit definitions Prune audit entries Manage storage areas Create a file storage area Create a storage policy Create an advanced storage area Build an object store Create JDBC data sources for an object store Create an object store Add the repository to an IBM Content Navigator desktop Create property templates and classes Create a choice list Create property templates Create document and folder classes Modify classes and properties Change the property template name Modify a choice list Work with metadata dependencies Use events to trigger actions Create a subscription with an event action Update the event action with new code module Configure security for IBM FileNet P8 assets Use the Security Script wizard Configure default instance security Configure security inheritance Implement designer group access Configure rolebased access +O35Use bulk operations Use bulk actions to modify security for multiple documents Use bulk operations to cancel checkout of documents Configure content-based retrieval searches Register IBM Content Search Services Configure index partitioning Configure contentbased indexes Create contentbased searches Work with sweeps Configure a bulk move content job Create a disposal policy Create a content migration policy Move IBM FileNet P8 Platform applications between environments Configure a destination environment Create a source environment Export the FileNet P8 application assets Convert and analyze the FileNet P8 assets Import the application assets Run a change impact analysis in command line Introduction to IBM FileNet P8 content services container IBM FileNet P8 content services containers Benefits of containers Considerations when choosing container Organize content across the enterprise Plan for Multitenancy Isolate content in an IBM FileNet P8 platform system

Duration 1 Days 6 CPD hours This course is intended for This is a basic course for IBM Engineering Requirements Management DOORS users. Overview Upon completion of the course, students will be able to: Navigate within a DOORS database Create structured data in a DOORS formal module Modify existing data in a DOORS formal module Review existing data in a DOORS formal module Create relationships in a DOORS database Report on relationships in a DOORS database This course is for new IBM Engineering Requirements Management DOORS (DOORS) users. It introduces basic DOORS concepts and functionality. It includes hands-on exercises that teach users to create, edit, manipulate, and analyze requirements data in DOORS. Unit 1 Navigating a DOORS Database Unit 2 Viewing information Unit 3 Editing information Unit 4 Structure Unit 5 Capturing additional information Unit 6 Working with Microsoft Word documents Unit 7 Locating information Unit 8 Manipulating the display Unit 9 Creating traceability Unit 10 Traceability analysis Unit 11 Object linking and embedding Unit 12 Discussions Additional course details: Nexus Humans QN101G IBM Engineering Requirements Management DOORS V9.6 - Foundation training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the QN101G IBM Engineering Requirements Management DOORS V9.6 - Foundation course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for experienced integration specialists and senior-level developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of IBM App Connect Enterprise Develop, deploy, and test message flow applications Generate message flow applications from predefined patterns Use the IBM App Connect Enterprise Toolkit problem determination aids to diagnose and solve development and runtime errors Describe the function and appropriate use of IBM App Connect Enterprise processing nodes Write basic Extended Structured Query Language and Java programs to transform data Use the IBM Graphical Data Mapping editor to transform data Define, use, and test simple XML and Data Format Description Language (DFDL) data models Describe supported transport protocols and how to call them in message flows IBM App Connect Enterprise provides connectivity and universal data transformation in heterogeneous IT environments. It enables businesses of any size to eliminate point-to-point connections and batch processing, regardless of operating system, protocol, and data format. This course teaches you how to use IBM App Connect Enterprise to develop, deploy, and support message flow applications. These applications use various messaging topologies to transport messages between service requesters and service providers, and allow the messages to be routed, transformed, and enriched during processing. In this course, you learn how to construct applications to transport and transform data. The course explores how to control the flow of data by using various processing nodes, and how to use databases and maps to transform and enrich data during processing. You also learn how to construct data models by using the Data Format Description Language (DFDL) Course Outline Introduction to IBM App Connect Enterprise Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Additional course details: Nexus Humans WM668G IBM App Connect Enterprise V11 Application Development training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the WM668G IBM App Connect Enterprise V11 Application Development course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Implementers and administrators who have experience with IBM Spectrum Protect. Overview After completing this course, you should be able to: Describe a multi-server IBM Spectrum Protect storage environment. Manage storage containers and traditional storage pools. Configure a multi-server environment. Improve data protection and recovery with replication. Enable advanced client functions. Protect and monitor the IBM Spectrum Protect environment. Use scripting to automate daily processing. Optimize the IBM Spectrum Protect server and client. Troubleshoot common problems. Describe the other IBM Spectrum Protect family products. IBM Spectrum Protect, formerly known as IBM Tivoli Storage Manager, is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum Protect offers improved efficiency and flexibility using objectbased data management, policy-driven retention, and an easy to use interface, the Operations Center.In this advanced-level course, you streamline your daily operations with the latest features, such as using Retention Sets for data retention, and using the Web Client 2.0 to restore data. You use the Operations Center and administrative command line to manage multiple IBM Spectrum Protect servers and nodes. This course also includes scripting, performance tuning, restoring the database and storage, and an overview of integration with IBM Spectrum Protect Plus 10.1.6. The hands-on exercises are performed on two Windows 2016 R2 virtual machines.This course is the second in a two-course series. It is for storage administrators familiar with the daily management of IBM Spectrum Protect, and focuses on the latest features, such as container pool storage. Basic concepts and installation are not covered in this course. TS618G, the first course in the series, IBM Spectrum Protect 8.1.9 Implementation and Administration, covers basic administration and installation. Unit 1 The IBM Spectrum Protect 8.1.11 environment Unit 2 Storage pool management overview Unit 3 Multi- server management Unit 4 Recovery and long-term retention Unit 5 Client functions and management Unit 6 Daily maintenance and monitoring Unit 7 Automation and scripting Unit 8 Tuning the server and client for optimization Unit 9 Troubleshooting and recovery

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technical professionals who require the skills to administer IBM MQ. Overview After completing this course, you should be able to: Describe the IBM MQ deployment options Create and manage queue managers, queues, and channels Use the IBM MQ sample programs and utilities to test the IBM MQ network Configure distributed queuing Configure MQ client connections to a queue manager Define and administer a queue manager cluster Administer Java Message Service (JMS) in MQ Implement basic queue manager restart and recovery procedures Use IBM MQ troubleshooting tools to identify the cause of a problem in the IBM MQ network Manage IBM MQ security Monitor the activities and performance of an IBM MQ system 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. Introducing IBM MQ Exercise Getting started with IBM MQ Working with IBM MQ administration tools Exercise Working with IBM MQ administration tools Configuring distributed queuing Exercise Implementing distributed queuing Managing clients and client connections Exercise Connecting an IBM MQ client Advanced IBM MQ client features Working with queue manager clusters Exercise Implementing a basic cluster Publish/subscribe messaging Exercise Configuring publish/subscribe message queuing Implementing basic security in IBM MQ Exercise Controlling access to IBM MQ Securing IBM MQ channels with TLS Exercise Securing channels with TLS Authenticating channels and connections Exercise Implementing connection authentication Supporting JMS with IBM MQ Diagnosing problems Running an IBM MQ trace Backing up and restoring IBM MQ messages and object definitions Using a media image to restore a queue Backing up and restoring IBM MQ object definitions High availability Monitoring and configuring IBM MQ for performance Monitoring IBM MQ for performance Monitoring resources with the IBM MQ Console Additional course details: Nexus Humans WM156G IBM MQ V9.1 System Administration (using Windows for labs) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the WM156G IBM MQ V9.1 System Administration (using Windows for labs) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This lecture and exercise-based course is for individuals who want to understand how to install, configure, and manage an IBM Spectrum Scale storage cluster. Overview After completing this course, you should be able to: Summarize the key features of IBM Spectrum Scale Describe IBM ESS and Spectrum Scale RAID Install IBM Spectrum Scale and configure a cluster Manage a cluster Implement information lifecycle management (ILM) Configure IBM Spectrum Scale high availability features Back up critical cluster data This course is intended for IT professionals tasked with administering an IBM Spectrum Scale storage cluster in environments running Linux and AIX nodes. The course includes information on installing, configuring, and monitoring an IBM Spectrum Scale cluster. Many Spectrum Scale features are described in lecture materials and then implemented in lab exercises. These features include: Storage management, high availability options, cluster management, and information lifecycle management (ILM) tools. Note: Although the lab environment is running the Linux operating system, the differences in Spectrum Scale compared with an AIX environment are minor. Therefore, the skills acquired during the course can be applied in both Linux and AIX environments. Welcome and course overview Unit 1 - IBM Spectrum Scale overview Exercise 1 - Cluster node preparation Unit 2 - Installation and cluster configuration Exercise 2 - Installation and cluster configuration Unit 3 - Cluster management Exercise 3 - Cluster management and configuration Unit 4 - Information Lifecycle Management (ILM) Exercise 4 - Storage pools, filesets, and policies Unit 5 - High availability and cluster data backups Exercise 5 - Replication and snapshots Course wrap-up and evaluation