IBM

This course covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.

This course will teach participants how to develop applications for the IBM PureData System for Analytics (PDA) N1001 and N2001 appliance. This course is designed to give the participant an overview of the IBM PureData System for Analytics (PDA) architecture and provide a working knowledge and understanding of the PDA database features and development best practices. It includes content and labs on the features introduced in NPS 7 including full schema support. The lab environment is an N2002-005 physical appliance.

This course is designed to show you how to migrate and deploy Case Manager solutions from development to preproduction and production. Participants use a system with two instances of IBM Case Manager to practice the skills that are required by solution builders and administrators to migrate and deploy solutions from one environment to another.

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 V.11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for 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 that students will feel comfortable customizing an algorithm for the PME for Virtual implementations.

This 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.

This course teaches participants advanced database administration skills for the IBM PureData System for Analytics (PDA) N1001, N2001 and N3001 appliances. This course is designed to give participants a working knowledge and understanding on IBM PureData System for Analytics (PDA) N1001, N2001 and N3001 appliance internals to optimize IBM PDA performance and tune system parameters. This course provides an overview of IBM PDA administration and analysis. It includes content and labs on the features introduced in NPS 7.2. The lab environment is an N2002-005 physical appliance.

In this course, you will work with applications in Datacap Studio to implement cognitive capture by using the IBM Datacap Insight Edition system. You will build page layouts and extract information with text analytics using IBM SystemT and Watson Natural Language Understanding. You will learn how to create virtual page blocks and extract information from tables and label value pairs. You will configure page classification with IBM Content Classification, Watson Visual Recognition engine, and Watson Natural Language Classifier service.

Administrators of DB2 11 for z/OS can acquire a view of the architecture and fundamental processes required to manage a DB2 11 for z/OS subsystem. Engage in lectures and hands-on labs to gain experience to: Relate the z/OS IPL process to a DB2 subsystem Explain effects of stopping and starting DB2 Explain how DB2 sets and use Integrated Catalog Facility (ICF) catalog names The use of DSN command processor running in batch and foreground Use views to minimize users' ability to see into the DB2 catalog See how the catalog (through grant activity) controls access to data Search the catalog for problem situations Use the catalog and DB2 utilities to determine data recovery requirements Describe Internal Resource Lock Manager (IRLM) in a DB2 environment Implement DB2 and Resource Access Control Facility (RACF) security Describe DB2 program flow for all environments Display normal and problem threads and database status See how the SQL Processor Using File Input (SPUFI) AUTOCOMMIT option defers the COMMIT/ROLLBACK decision Interpret lock displays Identify and cancel particular threads Describe available DB2 utilities to manage system and user page sets

Teaches data engineers how to run DataStage jobs in a Hadoop environment. You will run jobs in traditional and YARN mode, access HDFS files and Hive tables using different file formats and connector stages.

IBM Cognos Planning: Overview (V10.1) - is a two-day, instructor-led course designed to provide administrators and project managers a comprehensive overview of the IBM Cognos Planning solution. Participants will learn the purpose and benefits of each Planning component and understand what is involved in creating a Planning Analyst model, and creating a Planning Contributor application based on a model. Participants will perform hands-on demos and workshops while learning the essentials of building a Planning solution.

This course will step you through the Quality Stage data cleansing process. You will transform an unstructured data source into a format suitable for loading into an existing data target. You will cleanse the source data by building a customer rule set that you create and use that rule set to standardize the data. You will next build a reference match to relate the cleansed source data to the existing target data.

This course is an intermediate course designed to teach Collaboration and Deployment users object and asset management, security, shared resource usage, automation, and interaction with IBM SPSS Modeler Gold. Students focus on the makeup of the content repository and its objects. They will learn how to manage repository objects, the logical hierarchy structure, and how to import, export, and promote objects for use in multi-repository environments. Students will become familiar with the components of jobs and the mechanisms to set up, order, and relate job steps. Scheduling, parameters, job monitoring, job history, and event notification are discussed. Finally, the role of Collaboration and Deployment Services in Modeler Gold is discussed, addressing Real Time Scoring, Analytic Data View, and Model Management.

This course shows how to configure IBM Content Navigator Sync services and Sync client. You also learn how to sync content across multiple devices and resolve synchronization conflicts. 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 is designed to introduce advanced parallel job development techniques in DataStage v11.5. In this course you will develop a deeper understanding of the DataStage architecture, including a deeper understanding of the DataStage development and runtime environments. This will enable you to design parallel jobs that are robust, less subject to errors, reusable, and optimized for better performance.

This course provides training on customizing and extending the IBM Content Navigator features. You learn how to develop plug-ins and implement External Data Services. You also learn how to create a custom workflow step processor. You use the student guide and an IBM Content Navigator system to complete the learning. 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 teaches experienced authors advanced report building techniques to enhance, customize, manage, and distribute reports. Additionally, the student will learn how to create highly interactive and engaging reports that can be run offline by creating Active Reports.

Users often use both content and property based searches during the course of a business day. Searches can be extremely resource intensive. In this course, you learn how to configure Content Search Services, configure document classes for content based retrieval, create index partitions, and use bulk operations to update multiple files based on search criteria. 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 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