Mastering Ibm Infosphere Qualitystage
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.11 GB | Duration: 2h 5m
Enhancing Data Integration and Quality Management

What you'll learn

Understanding of IBM Information Server Architecture and its various product components.

Insight into different IBM Information Server Topologies and their deployment considerations

Identification and understanding of five common types of Data Quality Issues.

Mastery of how IBM InfoSphere QualityStage can resolve these Data Quality Issues effectively.

Comprehensive understanding of the functions and capabilities of IBM InfoSphere QualityStage.

In-depth exploration of IBM QualityStage & Investigate Stage, including detailed discussions on Character Discrete options with C and T masks.

Practical application of Character Concatenate options with a mix of C, T, and X masks, as well as with C masks.

Practical application and understanding of Word Investigate stage.

Utilization of Standardize stage for data standardization, along with validation Rule Sets.

Implementation of Match Stage for data matching purposes.

Understanding of Survivorship Stage and its role in consolidating and retaining the best-quality data.

Real-world practice demonstrations to reinforce learning and provide hands-on experience in applying IBM InfoSphere QualityStage techniques.

Requirements

Knowledge of data quality principles and practices

Familiarity with IBM Information Server tools

Basic understanding of data integration concepts

Description

Unlock the full potential of IBM InfoSphere QualityStage with our comprehensive course designed to empower you with the knowledge and skills necessary to master this powerful data quality tool. Whether you're a data analyst, data engineer, or IT professional, this course is tailored to suit your needs and level of expertise.Starting with an in-depth exploration of the IBM Information Server architecture and product components, you'll gain a solid understanding of the foundational elements that underpin QualityStage. From there, we'll delve into each QualityStage function, including investigate, standardize, match, and survivorship, providing you with a comprehensive understanding of how to leverage these capabilities to enhance data quality within your organization.Throughout the course, you'll explore QualityStage stages in detail, learning about character discrete, concatenate, and word investigate options, and discovering how to effectively resolve common data quality issues using QualityStage. Real-world examples and practical demonstrations will reinforce your learning, ensuring that you're equipped with the practical skills needed to succeed in your role.By the end of the course, you'll be equipped with the knowledge and expertise to confidently navigate QualityStage and tackle complex data quality challenges head-on. Whether you're looking to enhance your career prospects or improve data quality within your organization, this course will provide you with the tools and insights you need to excel in the field of data quality management

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: IBM Information Server

Lecture 2 1. IBM Information Server Architecture and Product Components

Lecture 3 2. IBM Information Server Product Components in Detail

Lecture 4 3. IBM Information Server Topology

Lecture 5 4. Refer_ IBM Infosphere DataStage and Governance Catalog (IGC) Course

Section 3: Data Quality Issues & IBM InfoSphere QualityStage

Lecture 6 5. Five type of Data Quality Issues frequently happen

Lecture 7 6. How IBM InfoSphere QualityStage could resolve

Lecture 8 7. IBM InfoSphere QualityStage functions

Lecture 9 8. Detail IBM QualityStage & Investigate Stage

Lecture 10 9. Investigate stagCharacter Discrete option with C mask

Lecture 11 10. Investigate stagCharacter Discrete option with T mask

Lecture 12 11. Investigate stagCharacter Concatenate option with mix of C, T, and X mas

Lecture 13 12. Investigate stagCharacter Concatenate option with C mask

Lecture 14 13. Investigate stagWord Investigate

Lecture 15 14. Standardize stage

Lecture 16 15. Standardize stagExample

Lecture 17 16. Standardize stagValidation Rule Sets

Lecture 18 17. Standardize stagExample (Cont.)

Lecture 19 18. Match Stage

Lecture 20 19. Survivorship Stage

Lecture 21 20. Survivorship StagExample

Data stewards,Data Governance Specialists,Data quality specialists,Data analysts,Data engineers,Anyone involved in data integration and quality management tasks