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As preferred partners, we excel in providing extensive and personalized training services in North America, South America, Europe, Middle East, Africa, Australia and Asia. Our team of highly experienced trainers deliver these services, using distinctive learning methods in our IT training programs to transform professionals into valuable resources for their organizations. With our global presence and a team of over 750 industry-specialized instructors, we ensure top-tier courses that address the project-related challenges faced by individuals and teams alike. Be it on-site private, virtual public, or private training sessions, our approach is always dynamic and interactive, aiming to optimize learning results.
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IBM Custom Courses
CP4D v4.x Data Refinery and Data Quality
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.
CP4D v4.x Watson Knowledge Catalog
This course teaches how to use IBM Watson 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 Watson Knowledge Catalog
CP4D v4.x Watson Query (DV) - Data Virtualization
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.
CP4D v4.x DataStage for Developers
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.
CP4D v4.x Platform Administration
This course teaches about the administration concepts of IBM Watson Knowledge Catalog on Cloud Pak for Data.
InfoSphere Advanced Connectors DataStage v11.7.x
This course covers DataStage 184.108.40.206 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.
InfoSphere Expert IA v11.7.x
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.
InfoSphere Expert IGC v11.7.x
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.
InfoSphere Expert QualityStage v11.7.x
This course teaches how to build Quality Stage parallel jobs that investigate, standardize, match, and consolidate data records. Students will gain experience by building an application that combines customer data from different source systems into a single master customer record. This course also covers the Quality Stage data cleansing process in which students will transform an unstructured data source into a format suitable for loading into an existing data target. They will also write jobs to cleanse the source data by building custom rule sets to standardize data.
This course teaches data management agility, a mission critical priority for organizations in an increasingly diverse, distributed and complex environment. This concept addresses the pain points of data scientists and analysts in finding, preparing and correcting data for analysis and utilizing AI capabilities. Data Fabric also enables Privacy and Security controls designed for data protection and regulatory compliance increasing customer confidence.
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