Module 1: Foundations of Metadata and Data Governance

·       Defining metadata, its types (technical, business, operational), and use cases

·       The role of metadata in data governance, data quality, and compliance

·       Understanding the lifecycle of metadata: creation, maintenance, and usage

·       Key organizational roles in metadata management (Data Owner, Data Steward, Custodian)

·       Benefits of a mature metadata management program

·       Practical session: Identifying and classifying different types of metadata within an organizational report (e.g., a Sales dashboard)

Module 2: Metadata Architecture, Models, and Standards

·       Principles of metadata repository design and architecture

·       Introduction to metadata modeling concepts (e.g., entity-relationship modeling for metadata)

·       Key industry metadata standards (e.g., Dublin Core, ISO/IEC 11179 overview)

·       Evaluating centralized vs. distributed metadata architectures

·       Planning for scalability and integration of the metadata repository

·       Practical session: Developing a conceptual metadata model for a key business process or data warehouse table

Module 3: Data Cataloging Principles and Tool Selection

·       Defining the data catalog and its core components (indexing, search, collaboration)

·       The functional requirements of a modern data catalog (discovery, collaboration, lineage)

·       Review of leading commercial and open-source data catalog solutions

·       Criteria for selecting the right data catalog tool for your organization

·       The process of onboarding data sources into the catalog

·       Practical session: Evaluating three different data catalog tool features based on a list of organizational requirements

Module 4: Automated Metadata Capture and Data Discovery

·       Methods for harvesting technical metadata from databases and data lakes

·       Understanding and configuring automated scanning and indexing processes

·       Utilizing machine learning for automated tagging and classification of data assets

·       Enabling fast and efficient search functionality across the data catalog

·       Managing and refreshing automated metadata synchronization

·       Practical session: Simulating the configuration of a scanner to automatically ingest metadata from a relational database schema

Module 5: Implementing Data Quality and Data Stewardship

·       Defining the relationship between metadata, data quality rules, and metrics

·       Documenting data quality dimensions and rules within the data catalog

·       Utilizing metadata to track data quality scorecards and ownership

·       Establishing the responsibilities and workflows of Data Stewards

·       Integrating data quality monitoring results back into the metadata layer

·       Practical session: Documenting three critical data quality rules (e.g., completeness, accuracy) for a key data field within the business glossary

Module 6: Business Glossary, Taxonomy, and Data Definitions

·       The distinction between a business glossary, a dictionary, and a data catalog

·       Best practices for defining unambiguous business terms and definitions

·       Designing a hierarchical taxonomy for organizing business terms

·       Linking business terms to physical data assets (tables, columns) in the catalog

·       Strategies for collaborative creation and approval of glossary terms

·       Practical session: Developing a draft business glossary entry for three common terms (e.g., Customer, Revenue, Product ID) and linking them to mock data assets

Module 7: Understanding and Mapping Data Lineage

·       Defining data lineage and its importance for compliance and impact analysis

·       Capturing technical lineage across ETL/ELT processes and transformation scripts

·       Distinguishing between coarse-grained and column-level data lineage

·       Utilizing data catalog tools to visualize and trace data flows

·       Performing root cause and impact analysis using data lineage maps

·       Practical session: Tracing the full lineage of a single data column from its source system through two transformation steps to a final dashboard report

Module 8: Technical Metadata and Integration with Data Sources

·       Detailed review of technical metadata (schema, table definitions, data types)

·       Integrating the data catalog with various data sources (SQL, NoSQL, APIs, files)

·       Managing and documenting security and access control metadata

·       Utilizing APIs for programmatic interaction with the metadata repository

·       Handling metadata from unstructured and semi-structured data sources

·       Practical session: Writing a small script (conceptual) to use a mock API to retrieve technical metadata for a specific table in the catalog

Module 9: Operationalizing the Data Catalog and Search

·       User adoption strategies for the new data catalog (training, champions)

·       Customizing the catalog interface for different user roles (analysts, stewards, executives)

·       Leveraging metadata for compliance documentation and audit trails

·       Enhancing searchability with tagging, ratings, and crowdsourced annotations

·       Measuring the success and ROI of the data catalog initiative

·       Practical session: Developing a three-step training plan to onboard new users (e.g., Business Analysts) to the data catalog

Module 10: Metadata Management Strategy and Roadmap

·       Developing a metadata management strategy aligned with organizational goals

·       Phased implementation approach and roadmap development

·       Defining key performance indicators (KPIs) for the metadata program

·       Budgeting and resource planning for ongoing metadata operations

·       Future trends in metadata management (AI-driven catalogs, active metadata)

·       Practical session: Drafting the first three phases of a metadata management roadmap, including necessary people, process, and technology elements

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588