This credential earner has completed instructor-led learning for understanding IBM BigInsights with an overview of IBM's big data strategy, as well as a why it is important to understand and use big data. Topics also include IBM Open Platform with Apache Hadoop. IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM BigInsights Foundation - Code: DW613G

This credential earner has completed instructor-led learning for understanding the InfoSphere Change Data Capture (CDC) component of the IBM InfoSphere Data Replication family of solutions. Topics include: the architecture, components and capabilities of CDC; various ways to set up and implement the software; how to operate and troubleshoot CDC; best practices in maintaining the environment; use cases for how replication is used using InfoSphere Change Data Capture to a business environment.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM InfoSphere Data Replication - InfoSphere Change Data Capture Essentials - Code: KM020G.

This credential earner has completed instructor-led learning for understanding the skills necessary to develop parallel jobs in DataStage. They have a good understanding of the administrative functions that are relevant to DataStage developers. The earner knows how to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM InfoSphere DataStage Essentials (v11.5) - Code: KM204G

This credential earner completed instructor-led learning for understanding advanced parallel job data processing techniques in DataStage v11.5. They developed data techniques for processing different types of complex data resources such as relational data, unstructured data and XML data. They gained advanced techniques for processing data, including techniques for masking data, validating data using data rules, & for updating data in a star schema data warehouse using the DataStage SCD.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM InfoSphere DataStage v11.5 - Advanced Data Processing - Code: KM423G

This credential earner has completed instructor-led learning for understanding how the Information Governance Catalog is used to govern information assets through the development of a governance catalog of categories and terms. Topics include how this catalog documents information assets and governance policies and rules that implement the high-level strategy and objectives of a governance program.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM InfoSphere Information Governance Catalog v11.5.0.2: Building the Catalog - Code: KM615G

This credential earner has completed instructor-led learning for understanding the skills necessary to use the Information Governance Catalog to analyze metadata stored within the Information Server Repository. This includes how metadata gets captured within the repository and how to explore and analyze the metadata it contains.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM InfoSphere Information Governance Catalog v11.5.0.2: Understanding Your Information Assets - Code: KM625G

This badge holder can perform data extractions and transformations using DataStage. The recipient can describe the uses of DataStage and the DataStage workflow, the Information Server architecture and how DataStage fits within it, and DataStage deployment options.

Course Objectives

Badge Criteria and Activities

Badge earners have successfully achieved class objectives demonstrated by student progress in lab exercises, attendance, participation in question & answer sessions, and/or assessments associated with:

This badge holder is familiar with InfoSphere Business Glossary, can navigate through the screens, is able to use certain functions of the product, is familiar with product terminology, and is familiar with certain basic product functionalities.

Course Objectives

Badge Criteria and Activities

Badge earners have successfully achieved class objectives demonstrated by student progress in lab exercises, attendance, participation in question and answer sessions, and/or assessments associated with: