IBM Training Courses

This course teaches how to use Data Refinery for self-service data preparation, Data profiling and Visualization. Users will also know how to manage and govern data assets in knowledge catalog. Users will gain experience by creating Governance Artifacts and adding data assets to a governed catalog so that data protection rules are automatically enforced to protect sensitive data from unauthorized access. They will also learn how to quickly find and access data, self-service data request and fulfilling the Data request.

This course teaches how to use IBM Knowledge Catalog on Cloud Pak for Data for managing and governing data catalog. Students will gain experience by creating Governance artifacts and adding data assets to a governed catalog so that data protection rules are automatically enforced to protect sensitive data from unauthorized access. This course also covers the data curation process by performing automated data discovery to quickly analyze the source data quality, understand automated term assignments and review the quality score for data assets. They will also learn how to quickly find and access data, self-service data preparation (data refinery), data request and Watson APIs to consume the business-ready data from the IBM Knowledge Catalog

Data virtualization in IBM® Cloud™ Pak for Data connects diverse data sources into a single self-balancing collection of data sources or databases, referred to as a constellation. This training will introduce to and provide overview on Data Virtualization add-on to IBM Cloud Pak for Data. Participants will learn about Data Virtualization and be able to create connections to remote data sources, create and manage virtual assets like views or virtual tables etc, and learn how to use those assets within IBM Cloud Pak for Data without moving any data for analysis.

This training will introduce the concept and design principles of Data Fabric.  Participants will learn what, why and how of the implementation with IBM Cloud Pak for Data and nFolks’ platform for virtualization and other applications.

This course teaches about the administration concepts of IBM Knowledge Catalog on Cloud Pak for Data.

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 pipeline.

This course guides you through the most important administration activities that are related to the Cloud Pak for Data environment.  You will recall the infrastructure of a Red Hat OpenShift cluster where Cloud Pak for Data runs, and you will learn how to manage this cluster. You will learn about multitenancy, tethered projects, the Cloud Pak for Data installation procedure, and prerequisites for various Cloud Pak for Data installation scenarios. A significant part of this course refers to tasks that an administrator must complete, including setting up an LDAP connection for user and group management, defining resource quotas and limits, and scaling services.

Guardium provides a broad range of data security and protection capabilities that can protect sensitive and regulated data across environments and platforms. This course provides the foundational level processes, procedures, and practices necessary to configure Guardium to monitor and protect sensitive data. Hands-on exercises reinforce the skills learned. 

*Note: this course is based upon IBM Security® Guardium® Data Protection v11.4.

Additionally, you will learn skills to implement, measure, analyze, and tune PowerVM virtualization features for optimal performance on IBM Power Systems servers. This course focuses on the features that relate to the performance of IBM POWER processor-based systems, AIX, and the special monitoring, configuring, and tuning needs of logical partitions (LPARs). This course does not cover application monitoring and tuning.

You will also learn AIX performance analysis and tuning tools that help an administrator take advantage of shared processors and other virtualization features of the IBM Power Systems servers.

Hands-on lab exercises reinforce each lecture and give the students practical experience.

• Effectively administer and monitor an IBM PowerHA SystemMirror for AIX cluster
• Implement PowerHA SystemMirror for AIX’s more complex options

In this 3-day instructor-led course, you learn how to perform the following tasks:

• Describe how QRadar collects data to detect suspicious activities​​​​​​​
• Describe the QRadar architecture and data flows
• Navigate the user interface
• Define log sources, protocols, and event details
• Discover how QRadar collects and analyzes network flow information
• Describe the QRadar Custom Rule Engine
• Utilize the Use Case Manager app
• Discover and manage asset information
• Learn about a variety of QRadar apps, content extensions, and the App Framework
• Analyze offenses by using the QRadar UI and the Analyst Workflow app
• Search, filter, group, and analyze security data
• Use AQL for advanced searches
• Use QRadar to create customized reports
• Explore aggregated data management
• Define sophisticated reporting using Pulse Dashboards
• Discover QRadar administrative tasks

Extensive lab exercises are provided to allow students an insight into the routine work of an IT Security Analyst operating the IBM QRadar SIEM platform. The exercises cover the following topics:

• Architecture exercises
• UI – Overview exercises
• Log Sources exercises
• Flows and QRadar Network Insights exercises
• Custom Rule Engine (CRE) exercises
• Use Case Manager app exercises
• Assets exercises
• App Framework exercises
• Working with Offenses exercises.
• Search, filtering, and AQL exercises
• Reporting and Dashboards exercises
• QRadar – Admin tasks exercises

The lab environment for this course uses the IBM QRadar SIEM 7.4 platform.

The lab demonstrations are performed using DB2 LUW 11.1 for Linux. For some lab tasks, students will have the option to complete the task using a DB2 command line processor, or using the graphical interface provided by IBM Data Server Manager.

The course is designed to give system administrators the knowledge required to implement and maintain LSF in their working environment. They will gain a solid understanding of workload resource management, cluster configuration and administration. The workshops provide valuable experience with the installation of LSF, cluster configuration and administration. The system administrator will also learn helpful hints and tips and develop fundamental troubleshooting skills.

The course begins with a functional overview of Information Server and the products and components that support these functions. Then it focuses on the basic administrative tasks an Information Server administrator will need to perform including user management, session management, and reporting management tasks. The course covers both the use of Information Server administrative clients such as the Administration Console and Metadata Asset Manager and the use of command line tools such as istool and encrypt.

This in-depth workshop covers Supply Chain, Maximo features and functions, and materials management and implementation best practice. It also includes business process configurations, customizations, systems integrations, and post-Implementation considerations and activities. 

This course is designed to introduce the technical student to using the enterprise search functionality in creating applications using the Search Engine and Application Builder capabilities. In this course will look at configuring search collection and engine components for ingesting, converting, indexing, and querying. This course will also introduce you to the design process of creating an Application Builder 360-degree application.

This course offers hands-on labs giving students exposure to the various aspects of configuring components that will be used in solutions that will involve Watson Explorer Foundational Components functionality.

This course is a subset of the 5 day course: Developing Rule Solutions in IBM Operational Decision Manager 8.10.5 (Course code: WB404/ZB404). Developers who need in-depth training with Operational Decision Manager should take WB404/ZB404.

The DataPower Gateways allow an enterprise to simplify, accelerate, and enhance the security capabilities of its JSON, XML, web services, and REST deployments. For JSON payloads, DataPower supports digital signatures and encryption that conform to the JSON Object Signing and Encryption (JOSE) specification.

Through a combination of instructor-led lectures and hands-on lab exercises, you learn how to use the configuration options, processing actions, and GatewayScript to support REST-based message traffic. To protect JSON message payloads, you use JSON Web Signature (JWS) and JSON Web Encryption (JWE) actions in the processing policy of a service.

Hands-on exercises give you experience working directly with a DataPower gateway. The exercises focus on skills such as selecting request and response types, using the HTTP method criteria in a matching rule, style sheet and GatewayScript transforms, GatewayScript CLI debugging, signing JSON payloads, and encrypting JSON payloads.

For information about other related courses, see the IBM Training website:

ibm.com/training .

This course has a heavy emphasis on the exercises, where you will deploy a new MDM configuration, invoke interactions, walk through the default matching algorithm, and create a custom handler and composite view.

At the end of this course, it is expected that you will feel comfortable implementating a new Virtual configuration data model, invoking interactions and creating customization to the Virtual MDM.