Training

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 course covers DataStage 11.7.1.1 new features, advanced connectors and stages that are very useful and comparatively complex. The course begins working with IMAM and GitHub. It covers stages that connect to cloud services and messaging services including Kafka. This course also covers DataStage Administrative new features which got added since its previous versions. Each unit has labs associated with it, wherever applicable. Students are expected to do the lab to understand the concepts explained. The steps for that are explained in detail so that the student can follow it easily.

This course teaches students how to perform different types of analysis, analyze data, generate reports, create data rules and explore analysis results and other advanced features using Information Analyzer. Students will also learn how to create Data Rules, Metrics, identify data redundancy and others.

This course teaches how to build IGC glossary, generate data lineage, impact analysis, and explore open IGC and other advanced features. Students will also learn how to create Business terms, categories, assign IT assets to Business Assets, generate IGD reports, implement best practices, and create policies and others based on their Business needs. This course also covers creating stewards, extended mappings, importing metadata using IMAM, IS tool and others.