IBM

This course is for anyone who is planning to configure an IBM Enterprise Records system for use by records managers and users. You work with a fully functioning IBM Enterprise Records system to practice the skills required for system configuration. 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.

This course gets those charged with administering Information Server v11.5 and its suite of many products and components started with the basic administrative tasks necessary to support Information Server users and developers. 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 course is designed to introduce you to new features in data integration and governance in IBM InfoSphere Information Server V11.3 and IBM InfoSphere MDM V11.3. Each unit in the course covers a separate product or component of IBM InfoSphere Information Server V11.3 and IBM InfoSphere MDM V11.3. Each unit is independent of other units and one or more units can be taught in any order.

This course is designed to teach you how to: Fully use the advanced technical functions and features of DB2 LUW 10.1 and 10.5. Implement DB2 BLU Acceleration, column-organized table support, for a new or existing DB2 database. Describe how the column dictionaries used for DB2 BLU Acceleration are built and utilized to provide extreme compression for column-organized tables. Explain the default workload management used for DB2 BLU Acceleration processing and how you can tailor the WLM objects to efficiently use system resources. Monitor a DB2 database or application that uses column-organized tables using SQL monitor functions. Implement Shadow tables for selected row-organized tables to improve analytics query performance Configure a DB2 database that supports a mixture of application processing, including OLTP and Analytics query processing with Shadow tables Create the Infosphere CDC Datastore, Subscription and Table mappings required to support Shadow tables Implement a User Maintained MQT for a column-organized table Create optimization profiles that allow applications to control specific operations included in the access plans selected by the DB2 Optimizer, like which index is used to access a table or which join method to utilize for joining tables. Perform advanced monitoring using the DB2 administrative views and routines in SQL queries. Configure and manage the implementation of DB2 instance or database level auditing, including using the db2audit command and creation of audit policies which can be assigned to specific tables, users or database roles to perform selective collection of audit records. Explore DB2 management of disk space usage in Database Managed Storage (DMS) table spaces, including the activities of the rebalancer. Use SQL queries and utilities to check the high water mark on table spaces and to monitor the rebalance operation. Move data from one table to another or from one database to another using utilities like db2move. Utilize the ADMIN_MOVE_TABLE procedure to implement table changes with a minimal impact to data availability for applications. Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity. Exploit and monitor the REORG utility processing for offline and online table, and index reorganization This includes planning for the disk space and database log space necessary for reorganization. Utilize the REORG Utility to implement row compression for large tables, to reduce disk utilization and improve I/O performance for a DB2 database and understand the automatic creation of compression dictionaries. For Multidimensional Clustering (MDC) tables, determine how to select the dimension columns and table space extent size for efficient implementation of MDC tables. Compare the block indexes used with MDC tables with rows based indexes. Select the MDC rollout option that best matches application needs and achieves the best performance results. Plan and implement range based table partitioning for large DB2 tables. Utilize the ALTER TABLE ATTACH and DETACH options to support roll-in and roll-out operations for range-partitioned tables. Compare the advantages of selecting or combining range partitioning with the hash-based partitioning used in DB2 partitioned databases or the multiple dimensions provided by MDC tables.

The course is designed to teach administrators how to create sweep jobs and sweep policies to run bulk jobs on large numbers of documents. For example, move documents from high-cost storage to low-cost storage based on the document type and specified filtering criteria, or delete documents based on their age or retention expiration 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.

This course introduces the IBM Content Navigator web client and the framework. You learn how to view, add, and search for content in the web client. You also explore other IBM Content Navigator advanced features. 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.

This course will teach you how to utilize the IBM InfoSphere Optim Solutions - Test Data Management, Data Privacy, and Data Growth for Archiving - for Distributed Platforms. Participants will learn how to create "right-sized" test data environments with the Test Data Management Solution; how to privatize confidential data with the Data Privacy Solution; and how to archive retired data with the Data Growth Solution. This course focuses on the technical aspects of the Optim Solutions and is intended for technical audiences. You learn the basics of how the Solutions work through hands on exercises illustrating how the technology applies to business scenarios. This course does not include information on how to install and configure the Optim technology.

This course teaches database administrators to perform basic database administrative tasks using Db2 11.1. These tasks include creating database objects like tables, indexes and views, and loading data into the database with Db2 utilities like LOAD and INGEST. Various diagnostic methods will be presented, including using db2pd command options, and monitoring with SQL statements that reference Db2 monitor functions. Students will learn how to implement automatic archival for database logs and how to recover a database to a specific point in time using the archived logs. The course covers using EXPLAIN tools to review the access plans for SQL statements and adding indexes to improve SQL performance. We will cover the locking performed by Db2 and the effect the application isolation level has on locking and lock wait conditions. Students will learn how to implement database security, including adding a security administrator, SECADM user, and implement database roles to simplify security management. We will also describe implementing Db2 native encryption for a database.

This offering teaches Professional Report Authors about advanced report building techniques using relational data models, dimensional data, and ways of enhancing, customizing, managing, and distributing professional reports. The course builds on topics presented in the Fundamentals course. Activities will illustrate and reinforce key concepts during this learning activity.

DB2 11 for z/OS beginning DBAs can develop fundamental skills or recognition through lectures and hands-on exercises of: TSO/E and ISPF Data sets DB2 Objects Structured Query Language DB2 Commands JCL and SDSF DB2 Utilities DB2 Logging DB2 Program Preparation The course materials cover DB2 11 for z/OS.

This introductory course, Programming with IBM InfoSphere MDM Collaborative Edition V10.1, is a must for those wanting to learn how to setup their environment and begin programming with MDM CE. Using IBMs Implementation Methodology Approach (use cases), the developer will have first hand experience building a solution that will incorporate the functionality of the MDM CE product. This course will provide the developer with an initial understanding of the MDM CE Object Data Model and migrate towards programming a solution and finally understand the Best Practices for programming with MDM CE product.

The IBM Optim Data Growth for z/OS course is designed to enable the students to successfully develop and execute an archiving strategy. This course provides a conceptual understanding of the data growth issue, as well as the Optim Solutions capabilities for managing data growth and improving the performance of critical business applications. This course serves as a foundation for the Optim Solutions features and functionality. This course focuses on the technical aspects of the Optim Solution and is intended for technical audiences. Participants will learn the basics of how the technology works through hands-on exercises illustrating how the technology applies to business scenarios. This course does not include information on how to install and configure the technology.  This course prepares technical users with the Optim knowledge and skills necessary to participate in an Optim archive implementation project and confidently perform Optim tasks ongoing.

This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and CR Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.

This course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core fields, referred to as components or factors. The next units focus on supervised models, including Decision List, Support Vector Machines, Random Trees and XGBoost. Methods are reviewed to combine supervised models and execute them in a single run, both for categorical and continuous targets.

This course teaches you to perform basic database administrative tasks using DB2 10.1 for Linux, UNIX, and Windows. These tasks include creating and populating databases and implementing a logical design to support recovery requirements. The access strategies selected by the DB2 Optimizer will be examined using the DB2 Explain tools. Various diagnostic methods will be presented including using the db2diag.log file messages to direct your investigation of problems as well as using the db2pd commands.

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

Learn about IBM FileNet Content Manager. You learn the basic architecture and how IBM FileNet Content Manager can be used to solve real-world business challenges. You learn about the Administration Console for Content Platform Engine and how to navigate the FileNet P8 domain structures. 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.

In this course you will create basic case management solutions with IBM Case Manager Builder and Process Designer. Using an iterative solution development process, you will create, deploy, test, and revise your solutions, adding complexity and functionality to your solutions as you gain skills. You will create properties and document classes, configure roles and in-baskets, and define case stages. You will work with case types, tasks, and workflows. This course includes some guidelines on solution design principles. After completing this course, you can build on these skills by taking more advanced or specialized courses in security, user-interface customization, and solution deployment.