Digital Badge Program InfoSphere

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 IBM InfoSphere Advanced DataStage - Parallel Framework v11.5 (KM404G). They have an understanding of more advanced DataStage job techniques and an understanding of the parallel framework architecture.

Course Objectives

Badge Criteria and Activities

Attendance and successful completion of KM404G IBM InfoSphere Advanced DataStage - Parallel Framework v11.5 instructor-led training course

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 how to configure, manage, and monitor the DataStage Engine which plays a crucial role in Information Server. Topics include: introduction to DataStage parallel jobs and the Engine that runs them; DataStage project configuration; the Engine’s development and runtime environments; the Engine’s data source connectivity; how to import and export DataStage objects; how to run and monitor DataStage; and Engine utilities.

Course Objectives

Badge Criteria and Activities

Successfully complete the following IBM Instructor-Led course: IBM InfoSphere DataStage Engine Administration for Information Server v11.7 - Code: KM530G

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 has completed instructor-led learning for the IBM InfoSphere DataStage Essentials v11.7 course. The earner has acquired the skills necessary to develop parallel jobs in DataStage, which includes 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

Successful completion of the course KM304G - IBM InfoSphere DataStage Essentials v11.7

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