Data Governance and Management Course

Course Summary

The Data Governance and Management training course is designed to demonstrate the aspects of Data Management and Data Governance key concepts along with preaching the best practices of implementing these practices in their Data Strategy.

The course begins with a holistic view of data management and data governance. Next, it continues with a look at modeling, discovering, archiving and planning data. The course concludes with a look at how to handle Personal Identifiable Information (PII).

Purpose

Promote an in-depth understanding of data governance and management.

Audience

Data Analysts, Data Engineers, Data Architects and Business Analysts looking to improve their knowledge and skills around data governance and management.

Role

Business Analyst - Data Engineer

Skill Level

Intermediate

Style

Workshops

Duration

3 Days

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Productivity Objectives:

Govern data within data driven organizations
Manage data and make it fit within the organization
Handle metadata efficiently to make working with data easier

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about our training

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Data Governance and Management training course, you'll learn:

Holistic View of Data Management and Data Governance
- Introduction to realm of data and metadata
- Terms & concepts
- Key areas to consider
- Architecture of a typical data project
- Key roles
- Ecosystem of tools to manage and govern data effectively
Modeling the Data
- Model the FileSystem
- Application centric models
- Nomenclature – files/directory structure
- File/directory layout
- Various file formats
- Share the data
- Challenges of sharing
- Ensure single version of truth
- Protect confidentiality
- Data ownership
Discovering the Data
- Challenges in data discovery
- Role of data catalogue
- Key data catalogues
- Work with data catalogue
Data Archiving
- Key data archival strategies
- Challenges with Data Archiving
- Maintain integrity and authenticity
- Explore metadata
- Display Trustworthiness
- Best practices for data curation
Planning Data Management
- Understand Data Management importance
- Data Management Stakeholders
- Best practices in Data Management
- Different Tools required
Master Data Management
- Introduction to Master Data
- Understand Master Information
- Get familiar with Master Data Management (MDM)
- Explore MDM Application
- Data quality in MDM
- Importance and advantages
Master Data Management Architecture
- MDM Architecture
- System Architecture of MDM
- Batch Jobs at MDM
- Work with Flow of Data
Classification, Information Types, and Approaches
- Information classification
- Types of master information
- Various approaches of MDM
- Compare various approaches of MDM
Master Data Management Maturity Model
- MDM Maturity Model
- Levels of maturity model
- Build blocks of MDM
- MDM component layer model
- Myths of MDM
Governing your Data
- Enter the data governance world
- Why data governance?
- Ten facets of data governance
- Value proposition for data governance
- Key areas of data governance
- Major tools available
Implementing Data Governance
- Structuring organizations with data roles
- Implementation development
- Draft charters
- Various approaches to governing the data
- Healthy data maintenance
- Measure and review data governance strategy
Data Security
- Make data secure
- Authentication
- Authorization
- Encryption at Rest
- Encryption in Motion
Auditing the Data
- Audit in form of assurance
- High-Quality auditing demand
- Audit risk and materiality
- The value of audits
Handling Personal Identifiable Information (PII)
- Understand what is PII
- Non-Personal Information
- Identify PII
- Associate sensitive data associated with PII
- Handle PII