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Career Path - Data Governance Specialist

Master Data Governance Frameworks, Policies, Tools & Compliance – Build Trusted, Secure, Quality-Driven Data Systems. Become Data Governance Manager.
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Course Duration: 100 hours
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Data Governance Specialist – Self-Paced Online Course
 
As data becomes the most valuable strategic asset of modern enterprises, the need to manage, protect, and govern it has never been more critical. Organizations are investing heavily in data governance to ensure data accuracy, consistency, accessibility, privacy, and compliance with global regulations. This self-paced course is designed to prepare you for a high-impact role as a Data Governance Specialist, a role that sits at the intersection of data management, business strategy, and regulatory compliance.
 
This course is ideal for aspiring data governance professionals, data analysts, business intelligence experts, compliance officers, data stewards, and IT managers seeking to transition into governance-focused roles. With a combination of conceptual depth, real-world use cases, and hands-on exercises, this program offers a structured path to mastering data governance frameworks, policies, tools, and industry best practices.
 
The course begins with an overview of core data governance principles, including data ownership, accountability, stewardship, and policy enforcement. You'll explore why governance matters and how it ensures the reliability and integrity of enterprise data. You’ll learn about the Data Management Body of Knowledge (DMBOK) framework by DAMA International and how it structures governance activities such as metadata management, data quality, master data management (MDM), and data privacy.
 
You'll then dive into governance operating models, exploring centralized, decentralized, and federated approaches. The course provides clear guidance on how to define roles and responsibilities—including Data Stewards, Data Owners, Data Custodians, and Data Governance Councils—and align them with business processes and IT infrastructure.
 
From there, the course transitions into the practical implementation of data governance. You’ll learn how to build and maintain business glossaries, data dictionaries, and data catalogs to ensure consistent understanding and usage of business terms across departments. You’ll also explore metadata management, data classification, and data lineage tracking, enabling traceability from data source to destination—a critical requirement for both analytics and regulatory compliance.
 
One of the core focus areas is data quality management. You’ll learn to develop rules for data validation, completeness, accuracy, timeliness, and consistency. Using profiling tools and reporting techniques, you’ll be able to identify and address data anomalies and drive improvements across data pipelines and systems.
 
Compliance is another essential element of modern governance programs. The course covers how governance aligns with data privacy laws and regulations such as GDPR, CCPA, HIPAA, SOX, and BCBS 239. You’ll understand how to implement governance controls that meet audit requirements, reduce risk exposure, and protect sensitive data from breaches.
 
The course introduces you to leading data governance platforms and tools including Collibra, Informatica Axon, Talend Data Stewardship, Alation, Microsoft Purview, and SAP Master Data Governance (MDG). Through interactive labs and guided tutorials, you’ll gain experience working with workflows, lineage visualizations, role-based permissions, issue management, and compliance dashboards. You’ll also explore tool integration strategies with data catalogs, MDM platforms, and enterprise data warehouses.
 
As cloud adoption grows, data governance has evolved to accommodate hybrid and multi-cloud environments. The course includes modules on cloud data governance, focusing on policy enforcement, access control, encryption, data residency, and governance tools in platforms like AWS, Azure, and Google Cloud. You'll learn how to govern data lakes and distributed systems, enabling secure and compliant analytics at scale.
 
An essential part of your training includes mastering the DevOps and DataOps alignment for governance automation. You'll discover how governance can be embedded in CI/CD pipelines, leveraging metadata tagging, policy-driven data validation, and automated documentation to reduce manual intervention and support agile data delivery.
 
Throughout the course, you’ll work on real-world projects and case studies simulating enterprise scenarios—such as implementing governance in a financial institution, rolling out compliance for healthcare data, or creating a stewardship model for customer data across global markets. These projects help you build a portfolio that demonstrates your capability to drive governance initiatives in any industry.
 
In addition to technical knowledge, the course emphasizes the soft skills and strategic thinking required to succeed in data governance. You'll learn how to lead governance programs, engage business stakeholders, influence culture change, and align data strategies with enterprise objectives. Communication, change management, and cross-functional collaboration are key themes covered throughout.
 
Upon completing this course, you will be ready to take on governance roles in enterprises, consulting firms, regulatory agencies, or digital transformation projects. You’ll be prepared for certifications like DAMA’s Certified Data Management Professional (CDMP), Collibra Ranger, or Informatica Governance Specialist, boosting your credibility in the global data market.
 
You’ll also receive a Course Completion Certificate from Uplatz, validating your hands-on experience and knowledge in data governance tools, principles, and frameworks. With lifetime access to all learning materials—including lecture videos, tool demos, project templates, quizzes, and instructor support—you’ll continue to benefit from updates and resources that keep your skills sharp and industry-relevant.
 
Whether your goal is to become a certified governance expert, lead enterprise data strategy, or simply manage data more responsibly, this course gives you the foundation, tools, and confidence to succeed in your journey as a Data Governance Specialist.

Course/Topic 1 - Microsoft Excel - all lectures

  • Lecture 1 - Introduction to Microsoft Excel

    • 19:48

  • Lecture 2 - Key in Data

    • 12:46

  • Lecture 3 - Font and Alignment

    • 13:52

  • Lecture 4 - Cut Paste and Format Painter

    • 07:20

  • Lecture 5 - Control plus Keys

    • 23:40

  • Lecture 6 - Home Commands and Clipboard

    • 20:09

  • Lecture 7 - File Tab

    • 12:49

  • Lecture 8 - Sorting and Filtering

    • 26:09

  • Lecture 9.1 - Basic Formulas

    • 23:00

  • Lecture 9.2 - Text Formulas

    • 32:49

  • Lecture 10.1 - VLookup - part 1

    • 26:39

  • Lecture 10.2 - VLookup - part 2

    • 06:20

  • Lecture 10.3 - HLookup

    • 14:22

  • Lecture 10.4 - This is a bonus session on Vlookup from a different tutor

    • 10:27

  • Lecture 10.5 - This is a bonus session on Vlookup from a different tutor

    • 05:02

  • Lecture 11.1 - Pivot Tables - part 1

    • 15:16

  • Lecture 11.2 - Pivot Tables - part 2

    • 07:14

  • Lecture 11.3 - Pivot Tables - part 3

    • 23:38

  • Lecture 11.4 - Pivot Tables - part 4

    • 11:47

  • Lecture 12.1 - Charts - part 1

    • 09:05

  • Lecture 12.2 - Charts - part 2

    • 21:01

  • Lecture 12.3 - Column Charts

    • 30:28

  • Lecture 12.4 - Bar Charts

    • 09:07

  • Lecture 12.5 - Line Charts

    • 09:57

Course/Topic 2 - Business Intelligence and Data Analytics - all lectures

  • In this lecture session we discuss about Bi concepts, examples and application of business intelligence and data analytics and also cover other concepts of BI.

    • 14:48

  • In this lecture session we learn about basic concepts of BI and also cover factors of business intelligence in brief.

    • 19:22

  • In this lecture session we learn about data warehouse data access and data dashboarding and also cover presentation in BI.

    • 24:10

  • In this lecture session we learn about product database, advertise database and customer demographic database and also cover data analyst concepts.

    • 19:54

  • In this lecture session we learn about basic introduction of business intelligence and also cover factors of business intelligence in brief.

    • 31:10

  • In this lecture session we learn about introduction of predictive modeling and also cover functions of predictive modeling in brief.

    • 1:05:08

  • In this lecture session we learn about data related to customer services and also talk about customer relation databases in brief.

    • 32:37

  • In this lecture session we learn about introduction of NoSQL and also cover basic functions of NoSQL in business intelligence.

    • 33:46

  • In this lecture session we learn about graph stores and also talk about the advantages and disadvantages of graph stores in BI.

    • 25:52

  • In this lecture session we learn about hierarchical clustering in business intelligence and also talk about clustering factors in BI.

    • 29:58

  • In this lecture session we learn about introduction of salesforce in business intelligence and also talk about some basic uses of salesforce.

    • 34:25

  • In this lecture session we learn about introduction to NLP and also cover what is natural language processing in artificial intelligence.

    • 18:30

  • In this lecture session we learn about natural language processing speech to text conversion and also cover the importance of natural language processing.

    • 25:22

  • In this lecture session we learn about introduction of apache server in business intelligence and also talk about basics of apache server.

    • 44:24

  • In this lecture session we learn about deep drive into business intelligence and also talk about factors or deep drive in business intelligence.

    • 30:54

  • In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

    • 39:54

  • In this lecture session we learn about types of data in business intelligence and also talk about different types of data in BI.

    • 25:07

  • In this lecture session we learn about mobile BI and also talk about open source BI software replacing vendor offering.

    • 39:18

  • In this lecture session we learn about real time BI in business intelligence and also talk about factors of real time BI in brief.

    • 1:35:17

  • In this lecture session we learn about data analytics comprehensively and also talk about functions of data analytics.

    • 23:43

  • In this lecture session we talk about data analytics vs business analytics and also talk about the importance of data analytics.

    • 41:04

  • In this lecture session we learn about Embedded analytics and also talk about functions of Embedded analytics in data analytics.

    • 1:02:55

  • In this lecture session we learn about collection analytics and also cover the importance of collection analytics.

    • 59:03

  • In this lecture session we learn about survival analytics and also cover duration analytics in brief.

    • 29:35

  • In this lecture session we learn about machine learning techniques and also cover the importance and factors of machine learning techniques in business intelligence.

    • 37:34

  • In this lecture session we learn about geospatial predictive analytics and also talk about functions of geospatial predictive analytics in business intelligence.

    • 1:01:31

  • In this lecture session we learn about cohort analysis in data analyst and we also cover functions and importance of cohort analysis.

    • 21:36

  • In this lecture session we learn about data mining in business intelligence and also talk about data mining functions and why we need data mining in business intelligence.

    • 45:40

  • In these lecture sessions we learn about anomaly detection and also talk about functions of anomaly detection in brief.

    • 1:00:36

  • In these lecture sessions we learn about statistically sound association and also talk about factors of statistically sound association in business intelligence.

    • 31:29

  • In this lecture session we learn about cluster analysis. We’ll cover all types of cluster analysis in brief and also cover the importance of cluster analysis in business analysis.

    • 36:21

  • In this lecture session we learn about DBSCAN in business intelligence and also talk about DBSCAN functions and importance.

    • 59:58

  • In this lecture session we learn about regression models in business intelligence and also talk about the function of regression models.

    • 31:57

  • In this lecture session we learn about extraction based summarization in business intelligence and also cover all types of summarization in data analyst.

    • 10:57

  • In this lecture session we learn about machine learning in BI and also talk about factors and importance of machine learning in brief.

    • 1:00:50

  • In this lecture session we learn about machine learning vs BI we also discuss the basic difference between machine learning and business intelligence.

    • 1:15:37

  • In this lecture session we learn about how ml can make BI better and also talk about ml basic functions.

    • 1:18:01

  • In this lecture session we learn about data warehousing and also talk about how we manage data warehousing in business intelligence.

    • 18:28

  • In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

    • 29:22

  • In this lecture session we learn about data mart in business intelligence and also talk about data mart function.

    • 32:40

  • In this lecture session we learn about data dimensions in business intelligence and also cover all types of data dimension in BI.

    • 30:31

  • In this lecture session we learn about data dimension in business intelligence and also cover functions and importance of data dimension.

    • 24:02

  • In this lecture session we learn about data vault modeling in business intelligence and also cover different types of vault modeling in brief.

    • 29:14

  • In this lecture session we learn about links and satellites and also cover the importance and factors of links and satellites in business intelligence.

    • 28:59

Course/Topic 3 - Data Science with Python - all lectures

  • In this video tutorial we will get introduced to Data Science and the integration of Python in Data Science. Furthermore, we will look into the importance of Data Science and its demand and the application of Data Science.

    • 1:01:14

  • In this video we will learn, all the concepts of Python programming related to Data Science. We will also learn about the Introduction to Python Programing, what is Python Programming and its History, Features and Application of Python along with its setup. Further we will see how to get started with the first python program.

    • 59:19

  • This video talks about the Variable and Data Types in Python Programming. In this session we will learn What is variable, the declaration of variable and variable assignment. Further we will see the data types in python, checking data types and data type conversions.

    • 27:05

  • This tutorial will help you to understand Data Types in python in depth. This video talks about the data types such as numbers, sequence type, Boolean, set and dictionary.

    • 55:27

  • This tutorial talks about the Identifier, keyword, reading input and output formatting in Data Science. We will learn about what is an identifier and keywords. Further we will learn about reading input and taking multiple inputs from a user, Output formatting and Python end parameter.

    • 49:19

  • This tutorial talks about taking multiple inputs from user and output formatting using format method, string method and module operator.

    • 44:09

  • This tutorial talks about the Operators and type of operators. In this session we will learn about the types of operators such as arithmetic, Relational and Assignment Operators.

    • 27:52

  • This tutorial talks further about the part 2 of operators and its types. In this session we will learn about the types of operators such as Logical, Membership, Identity and Bitwise Operators.

    • 31:22

  • In this video you will learn about the process of decision making in Data Science. Furthermore, this tutorial talks about different types of decision-making statements and its application in Data Science.

    • 45:23

  • In this video tutorial we will learn about the Loops in Python programing. We will cover further the different types of Loops in Python, starting with: For Loop.

    • 32:47

  • In this session we will cover the further part of loops in Python programming. The type of loops explained in this video is: While loop and nested loop.

    • 39:43

  • In this session we will cover the further part of loops in Python programming. The type of loops explained in this video is: break, continue and pass loops

    • 23:13

  • In this video tutorial we will start explaining about the lists in Python Programming. This tutorial talks about accessing values in the list and updating the list in Data Science.

    • 46:54

  • In this video tutorial we will look into the further parts about the lists in Python Programming. Deleting list elements, basic list operations, built in functions and methods and the features which are covered in this session.

    • 40:30

  • This tutorial will cover the basics on Tuples and Dictionary function in Data Science. We will learn about accessing and deleting tuple elements. Further we will also cover the basic tuples operations and the built in tuple functions and its methods. At the end we will see the differences in list and tuple.

    • 53:32

  • This tutorial will cover the advanced topics on Tuples and Dictionary function in Data Science. Further in this session we will learn about the Python Dictionary, how to access, update and delete dictionary elements. Lastly we will cover built in functions and methods.

    • 51:22

  • In this session we will learn about the functions and modules used in Data science. After watching this video, you will be able to understand what is a function, the definition of function and calling a function.

    • 44:01

  • In this session we will learn about the further functions and modules used in Data science. After watching this video, you will be able to understand the ways to write a function, Types of functions, Anonymous Functions and Recursive functions.

    • 43:16

  • In this session we will learn about the advanced functions and modules used in Data science. After watching this video, you will be able to understand what is a module, creating a module, import statement and locating modules.

    • 48:21

  • This tutorial talks about the features of working with files. In this video we will learn about opening and closing file, the open function, the file object Attributes, the close method, reading and writing files.

    • 1:05:09

  • This tutorial talks about the advanced features of working with files. In this video we will learn about file positions, renaming and deleting files.

    • 26:50

  • In this session we will learn about the regular expression. After this video you will be able to understand what is a regular expression, meta characters, match function, search function, Re- match vs research, split function and sub function.

    • 1:02:45

  • This video introduces you to the Data Science Libraries. In this video you will learn about the Data science libraries: libraries for data processing, modelling and data visualization.

    • 45:35

  • In this session we will teach about the components of python ecosystem in Data Science. This video talks about the Components of Python Ecosystem using package Python distribution Anaconda and jupyter notebook.

    • 54:24

  • This tutorial talks about the basics of analyzing data using numpy and pandas. The Pandas module mainly works with the tabular data, whereas the NumPy module works with the numerical data. We will further see what is Numpy and why we use numpy.

    • 56:58

  • This tutorial talks about the later part of analyzing data using numpy and pandas. In this tutorial we will learn how to install numpy.

    • 43:37

  • This tutorial talks about the advanced part of analyzing data using numpy and pandas. In this session we will learn what is Pandas and the key features of Pandas. We will also learn about the Python Pandas environment setup.

    • 37:21

  • This tutorial talks about the advanced part of analyzing data using numpy and pandas. In this session we will learn about Pandas data structure with example.

    • 1:12:53

  • This the last session on Analysing Data using Numpy and Pandas. In this session we will learn data analysis using Pandas

    • 28:31

  • In this video tutorial we will learn about the Data Visualization using Matpotlib. This video talks about what is data visualisation, introduction to matplotlib and installation of matplotlib.

    • 37:45

  • In this session we will see the part 2 of Data Visualization with Matplotlib. This video talks about the types of data visualization charts and line chart scatter plot

    • 43:41

  • This tutorial covers part 3 of Data Visualization with Matplotlib. This session covers the types of data visualisation charts: bar chart histogram, area plot pie chart and box plot contour plot.

    • 1:09:26

  • This session talks about the Three-Dimensional Plotting with Matplotlib . In this we will learn about plot 3D scatter, plot 3D contour and plot 3D surface plot.

    • 1:03:43

  • In this tutorial we will cover basics of Data Visualisation with Seaborn. Further we will cover Introduction to seaborn, seaborn functionalities, how to install seaborn and the different categories of plot in seaborn

    • 41:53

  • In this tutorial we will cover the advanced topics of Data Visualisation with Seaborn. In this video we will see about exploring seaborn plots.

    • 59:16

  • Introduction to Statistical Analysis is taught in this video. We will learn what is statistical analysis and introduction to math and statistics for data science. Further we will learn about the terminologies in statistics for data science and categories in statistics, its correlation and lastly mean median and mode quartile.

    • 1:15:05

  • This video course talks about the basics of Data Science methodology. We will learn how to reach from problem to approach.

    • 47:33

  • In this session we will see Data Science Methodology from requirements to collection and from understanding to preparation.

    • 44:12

  • In this session we will learn advanced Data Science Methodology from modelling to evaluation and from deployment to feedback.

    • 39:25

  • This video tutorial talks about the - Introduction to Machine Learning and its Types. In this session we will learn what is machine learning and the need for machine learning. Further we will see the application of machine learning and different types of machine learning. We will also cover topics such as supervised learning, unsupervised learning and reinforcement learning.

    • 56:17

  • This video tutorial talks about the basics of regression analysis. We will cover in this video linear regression and implementing linear regression.

    • 1:11:51

  • This video tutorial talks about the further topics of regression analysis. In this video we will learn about multiple linear regression and implementing multiple linear regression.

    • 54:25

  • This video tutorial talks about the advanced topics of regression analysis. In this video we will learn about polynomial regression and implementing polynomial regression.

    • 38:18

  • In this session we will learn about the classification in Data science. We will see what is classification, classification algorithms and Logistic regression. Also we will learn about implementing Logistic regression.

    • 1:08:43

  • In this session we will learn about the further topics of classification in Data science, such as decision tree and implementing decision tree.

    • 38:36

  • In this session we will learn about the advanced topics of classification in Data science, such as support vendor machine and implementing support vector machine.

    • 25:37

  • This tutorial will teach you about what is clustering and clustering algorithms. Further we will learn what K means clustering and how does K means clustering work and also about implementing K means clustering.

    • 53:10

  • In this session we will see the further topics of clustering, such as hierarchical clustering, agglomerative hierarchical clustering, how does agglomerative hierarchical clustering Work and divisive hierarchical clustering.

    • 28:55

  • This video tutorial talks about the advanced topics of clustering, such as implementation of agglomerative hierarchical clustering.

    • 33:58

  • This video will help you to understand basics of Association rule learning. In this session we will learn about the Apriori algorithm and the working of Apriori algorithm.

    • 53:30

  • This video will help you to understand advanced topics of Association rule learning such as implementation of Apriori algorithm.

    • 58:45

  • This is a session on the practical part of Data Science application. In this example we will see problem statement, data set, exploratory data analysis.

    • 56:40

  • This is a session on the practical part of Data Science application.

    • 42:39

  • This is a session on the practical part of Data Science application. In this we will see the implementation of the project.

    • 50:54

  • This is a session on the practical part of Data Science application

    • 38:18

  • This is a session on the practical part of Data Science application

    • 1:02:31

Course/Topic 4 - SAP GRC - all lectures

  • In this first video on SAP GRC course, you will get a brief introduction to the SAP GRC module; fully known as Governance Risk Compliance along with an understanding of some points such as the goal of GRC, how GRC is helpful for businesses and how GRC can change the face of doing business for any organization. All this will be shown by the trainer with a real-time example for a better understanding of the fundamentals.

    • 07:18

  • In this second video, you will get an overview of GRC such as the GRC interaction and implementation methodology, GRC Process, Modules, and Access Control Components under which you will be knowing the concepts on ARA, ARM, BRM, and EAM.

    • 07:43

  • In this tutorial, you will understand the Organizational Challenges and Solution and the Excessive Access and Decentralized process under the Business Risk part. Further, you will learn about the Segregation of Duties (SoD) and inside it the concept of who owns the SoD along with the difference between the Decentralized and Centralized processes.

    • 06:05

  • In this session, you will learn about the Security Standards, starting with the Sarbanes-Oxley or SoX; what is it, and its different forms such as C-SOX, J-SOX, EURO-SOX. Also, you will know about the BDSG, PCISSC, GAISP and GASSP. Going forward, you will learn some vital points about Managing Risks.

    • 06:32

  • In this tutorial, you will learn about the SAP GRC components, starting with the Access Control Component and under it the ARA, ARM, BRM, EAM. Furthermore, you will learn about the Access Risk Analysis under which comes the SoD Reports, Reports and the Simulation, the Access Request Management with steps for it, Emergency Access Management, Business Role Management, and the Risk Terminator.

    • 15:41

  • In this video, you will get an overview of the SAP GRC Process Control and the detailed concepts associated with it along with the work process of the SAP Access Control, Process Control and Risk Management and the relation amongst the three of them in terms of the GRC module.

    • 04:56

  • In this video, you will get a complete overview of the Risk Management module in SAP GRC, with each and every detailed explanation of all the concepts associated with Risk Management.

    • 04:19

  • In this tutorial, you will get a brief overview of Global Trade Services or GTS and its functions such as Trade Compliance Management, Sanctioned Party List Screening, Customs Management, Trade Finance Service, etc.

    • 08:03

  • In this video, you will learn what is Access Control Harmonization along with an understanding of Harmonized and Access Control Harmonized with ABAP single platform. Further, you will learn about the GRC Harmonization and the concept of IDM Integration.

    • 04:39

  • In this video, you will get an overview of the GRC Authorization with key points discussed on the PFCG roles for application, Portal and NWBC authorization, PFCG roles for specific components along with different general roles and its usage like SAP_GRAC_BASE, SAP_GRAC_NWBC etc. You will also learn about the Access Control Security Objects with detailed explanation by the trainer in the system.

    • 06:10

  • In this video, you will learn about the GRC Architecture under which you will learn GCC Landscape, SAP GRC Components, a picturesque view of the general front end for access control which is NWBC, GRC Portal Content, the Plug-in’s, BW content, the Identity Management (IDM), Adobe Document Services, SAP NetWeaver 7.02 Search & Classification, Access Control Landscape and the Access Control Architecture.

    • 12:22

  • In this video, you will learn about the different Work Centers under SAP GRC User Interface. The trainer will be seen explaining to you each and every Work Center like the Home, Master Data, Rule Setup, etc. All these will be shown in the NWBC screen for the SAP GRC module.

    • 06:43

  • In this video, you will learn about the SoD and the different phases of SoD Risk Management. Along with this, you will also be learning about the Rule Building and Validation, Rule Building Process, Steps to Build Rule, Rule Structure, Functions and Risk, Organizational Rule, Analysis, Remediation, Mitigation, Continuous Compliance, and Risk Management Roles chain. Lastly, you will learn to navigate Access Rule Maintenance in the system.

    • 27:33

  • In this video, you will learn about the different processes under Authorization Risks like ME51N, ME21N, MIGO, and the MIRO. Moreover, you will also learn about the Authorization Risks under the Payroll process like the Run Payroll Simulation, Release Payroll, Run Productive Payroll, etc.

    • 08:10

  • In this video, you will learn about the different GRC settings starting with the GRC IMG structure and under this, the first setting comes Creating Connectors which will be shown in the system. Further, you will be learning about Maintaining Connectors and Connection Types, Integration Scenarios, and Maintaining Connection setting.

    • 22:05

  • In this tutorial, you will be learning about the Synchronizing Repository. The session starts with the Access Control Repository, Order or Synchronizing jobs, a detailed explanation on the PFCG Authorization Data along with showing the whole work process in the system by the trainer. Furthermore, you will be learning about the Repository Objects Data, Profile Master Data, User Master Data, and a complete workaround of the background jobs in the SAP system.

    • 26:50

  • This video is an introductory session to MSMP with SAP Business Workflow, a detailed explanation of the MSMP Initial Configuration in the system. Along with this, you will also be learning about Workflow Customizing, Workflow for Access Control, and User Provisioning. Further, you will get a detailed overview of the MSMP Related Roles, MSMP Configuration Overview, and the different stages of the Activity Details.

    • 16:43

  • This video is all about a detailed configuration of MSMP in the SAP GRC module and the different steps associated with it. Firstly, it will be starting with Process Global Settings, Maintaining Rules, and lastly Maintaining Agents. All these steps will be shown in detail by the trainer in the system.

    • 33:45

  • This is a continuation video to the previous MSMP Configuration where you will be learning about the different configuration steps involved under MSMP such as Maintaining Agent Type in the system, Maintaining Notification Variables and Templates, Maintaining Paths and Stages, Maintaining Stage Task Settings, Maintaining Notification Event, Maintaining Route Mapping and Generating Versions. All these steps will be shown clearly by the trainer in the SAP system.

    • 29:52

  • This is an introductory video to the Business Rules Framework where you will learn what is Business Rule Management Systems (BRFplus), the different components of BRFplus, the 2 Business Rules Framework plus Rule Types which are BRFplus Rule & BRFplus Flat Rule. You will also be learning about the BRFplus Integration rule for MSMP and lastly Business Rule Management & HR Trigger.

    • 15:10

  • This is the first part of the tutorial where you will learn to create BRFplus Rules with defining Workflow related to MSMP Rules in the system, Rule Info, the different generation options, Test Result, defining Business Rules Framework, Signature tab, creating Top Expressions, Configuring Table Settings, Result Data Object, Table Condition Values and lastly Creating Initiator Rule. All these work processes will be shown with a step-by-step explanation by the tutor in the SAP GRC system.

    • 33:53

  • This is a continuation video to the first part where you will be creating Initiator Rule, Agent Rule, and the Routing Rule. This whole work process will be shown in a step-by-step process in the SAP system by the trainer.

    • 27:27

  • This video is about how Organization Hierarchy is shared between Access Control, Process Control, and Risk Management with a detailed explanation of the whole process in the SAP system. Along with this, you will also learn about sharing Mitigating Controls, an overview of how to Create and Maintain Risk, Mitigation Approver, and Mitigation Monitor, and lastly about the PFCG Roles.

    • 11:43

  • In this video, you will learn about the Remediating Risks and its different roles which are Single Role, Composite Role, and User. You will also learn about the Mitigation Risks, how to control a Mitigating Control in the system along with assigning a user and role, Mass Mitigating, and lastly about the Audit Log.

    • 26:58

  • In this tutorial, you will learn about the Access Risk Analysis, starting with Maintaining Rule Set and after that just a small recap on the Rule Set & Hierarchy. Moving forward, you will learn about the Risk Terminology, the configuration setting of Risk Analysis which will be shown in the SAP GRC system, Mitigation, and the Change Log. Furthermore, you will be learning about the SPO and MSMP Configuration in ARA, Creating and Maintaining Rule Set, and the Function. All these work process will be shown in the system by the trainer.

    • 36:00

  • In this video, you will get a brief overview of the Emergency Access Management (EAM) of the SAP GRC module like why to use EAM and its advantages; along with its key players which are Owner, Controller, Firefighter, and Firefighter ID. Further, you will know about the 2 methods of EAM which are ID based Firefighter and Role based Firefighter. Moreover, you will get an overview of the Centralized and Decentralized Firefighter System and lastly, this tutorial will cover the Architecture of Emergency Access Management.

    • 16:46

  • This is a complete practical video on the configuration of Emergency Access Management and the different steps involved in it such as creating Firefighter ID, assigning owners to firefighter ID’s and maintaining reason codes.

    • 38:29

  • In this video, you will learn about the Emergency Access Management Provisioning Configuration, starting with Maintaining Provisioning Settings such as Role Provisioning Type, Auto Provisioning Options, Creating User Options, Password expiry, and E-MAIL Status. Further, you will learn about Maintaining System Provisioning Configuration, End User Personalization Forms, User Provisioning Settings and lastly Creating Templates. All these processes will be shown in the SAP system by the tutor.

    • 28:11

  • This video will teach you how to create Access Request starting with the Roles used for Access Request, Creating Approver, and Creating Request with the whole process being shown in the SAP system.

    • 27:22

  • In this video, you will learn about the Access Request Log and MSMP Workflow starting with a recap on Maintaining MSMP Workflows, Approval Setup, MSMP Stage Configuration and lastly the Access Request Logs. This will be shown in detail by the trainer in the system.

    • 11:13

  • This tutorial is about the configuration of Business Role Management where you will get firstly an overview of Business Role Management and after that Role Attributes, Role Management, Configuration of Role Management with defining Prerequisite Types and Defining Role Prerequisites. All this will be shown in the SAP system by the trainer.

    • 31:52

  • In this video, you will learn about the Role Methodology and BRF+ Configuration; starting with the Role Methodology, the work process of defining the Role Methodology Process and Steps in the SAP system, defining BRFplus Application and Rules, creating BRFplus Rule and Decision Table. Further, you will be learning about the Assigning Condition Group Type to BRFplus and lastly creating BRFplus Rule.

    • 12:30

  • This video will teach you about the Role Definition and Creation, starting with creating and defining user as a Role Owner in the system, Condition Group Approver & Owner, the different Role Types and lastly creating a single role in the SAP GRC system.

    • 19:27

  • This video will teach you about Managing Roles, starting with Role Mining, with the complete work process in the SAP system, action usage in Role Mining, and lastly Role Mass Maintenance, both of which will be explained in detail by the trainer in the system.

    • 12:39

  • In this last session of the SAP GRC Access Control, you will learn about maintaining Configuration Settings, Request Review, and the Risk Review and all the work processes will be explained by the trainer in a step-by-step process in the SAP GRC system.

    • 09:38
Course Objectives Back to Top

This course empowers learners with the critical knowledge, tools, and practical strategies to develop and execute robust data governance programs. Whether in finance, healthcare, retail, or technology, the ability to manage and protect data assets is a career-defining skill for modern professionals.

By the end of this course, learners will be able to:

  • Understand data governance principles, frameworks, and operating models
  • Define data ownership, stewardship roles, and accountability structures
  • Design and implement business glossaries and data dictionaries
  • Manage metadata, lineage, and master data domains
  • Apply data quality management and data profiling techniques
  • Align governance practices with regulatory compliance (GDPR, HIPAA, etc.)
  • Utilize tools like Collibra, Informatica, Microsoft Purview, and Talend
  • Implement governance controls in hybrid and multi-cloud environments
  • Create governance workflows for issue resolution and policy enforcement
  • Assess data governance maturity and continuously optimize the program
  • Collaborate across business and IT to embed governance into enterprise strategy

Course Syllabus Back to Top

Course Syllabus – Data Governance Specialist

Module 1: Introduction to Data Governance

  • What is Data Governance?

  • Business Value of Data Governance

  • Core Components of a Governance Framework

  • Data Governance vs. Data Management vs. Data Quality

  • Overview of DMBOK (Data Management Body of Knowledge)

  • Data Governance Use Cases in Various Industries

Module 2: Data Governance Operating Models & Roles

  • Centralized, Federated, and Hybrid Models

  • Roles and Responsibilities: Data Owner, Steward, Custodian, Governance Council

  • Governance Committees and Organizational Structure

  • Building a Data Governance Charter

  • Change Management and Stakeholder Engagement

Module 3: Business Glossary & Data Dictionary

  • Defining Standardized Business Terms

  • Creating and Managing Business Glossaries

  • Building a Data Dictionary

  • Data Element Naming Standards

  • Ensuring Alignment Between Business and Technical Teams

Module 4: Metadata Management

  • What is Metadata? Types and Classifications

  • Building a Metadata Repository

  • Metadata Harvesting and Tagging

  • Data Lineage and Impact Analysis

  • Metadata Governance Policies and Access Controls

Module 5: Master Data & Reference Data Governance

  • Understanding Master Data Domains (Customer, Product, Vendor, etc.)

  • Master Data Management (MDM) vs. Master Data Governance (MDG)

  • Reference Data Standards and Hierarchies

  • Golden Record and Data Unification Principles

  • Managing Data Across Systems and Silos

Module 6: Data Quality Management

  • Data Quality Dimensions: Accuracy, Completeness, Consistency, Timeliness, Validity

  • Data Profiling and Cleansing Techniques

  • Data Quality Rules and Metrics

  • Building Scorecards and Dashboards

  • Root Cause Analysis and Issue Resolution Workflows

Module 7: Regulatory Compliance & Data Privacy

  • Overview of Global Regulations: GDPR, CCPA, HIPAA, SOX, BCBS 239

  • Data Classification & Sensitivity Levels

  • Managing Consent, Access Rights, and Data Retention

  • Compliance Audits and Reporting

  • Data Ethics and Responsible Data Use

Module 8: Data Governance Tools & Platforms

  • Tool Overview: Collibra, Informatica Axon, Microsoft Purview, SAP MDG, Talend

  • Business Glossary & Lineage in Collibra

  • Workflow Management in Informatica Axon

  • Cataloging and Sensitivity Labels in Microsoft Purview

  • Governance Rules and Alerts in Talend Data Stewardship

  • Tool Evaluation & Selection Criteria

Module 9: Cloud & Enterprise Data Governance

  • Governance in Multi-Cloud and Hybrid Environments

  • Cloud-Native Tools: AWS Lake Formation, Azure Purview, GCP Data Catalog

  • Implementing Access Controls and Encryption

  • Cross-Cloud Governance Standards

  • Managing Data Lakes and Lakehouses

  • Integrating Governance with Cloud Data Warehouses (e.g., Snowflake, BigQuery)

Module 10: Governance Automation & DataOps

  • Introduction to DataOps & DevOps Integration

  • Automating Governance Workflows

  • Policy-as-Code and Infrastructure-as-Code (IaC) Governance

  • Using APIs and Scripts to Manage Governance Policies

  • Embedding Governance in CI/CD Pipelines

  • Metadata-Driven Automation for Quality & Lineage

Module 11: Data Governance Maturity Models

  • Understanding DCAM (Data Capability Assessment Model)

  • DAMA and DAMM Maturity Frameworks

  • Conducting Governance Maturity Assessments

  • Benchmarking & Gap Analysis

  • Roadmap to Governance Optimization

Module 12: Real-World Projects & Capstone

  • Building a Data Governance Program from Scratch

  • Implementing a Business Glossary in Collibra

  • Lineage and Metadata Implementation Project

  • Data Quality Dashboards for Customer Master Data

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Certification Back to Top
Upon successful completion of the course, you will receive a Course Completion Certificate from Uplatz, confirming your capabilities in managing and implementing data governance practices and technologies.
 
This certification signals your readiness to lead governance initiatives, contribute to data compliance programs, and support data-driven decision-making across the organization. It also enhances your profile as a strong candidate for roles in enterprise data management, regulatory compliance, or digital transformation.
 
Whether you’re planning to pursue additional credentials like DAMA’s CDMP or work with governance platforms like Collibra or Informatica, this certificate validates your job-readiness and real-world understanding.
Career & Jobs Back to Top

The role of a Data Governance Specialist is becoming indispensable as organizations face increasing pressure to protect customer data, comply with regulations, and unlock business value from trustworthy data.

Career opportunities include:

  • Data Governance Specialist
  • Data Steward / Data Manager
  • Data Quality Analyst
  • Metadata Analyst
  • Compliance & Risk Analyst (Data-focused)
  • Master Data Management (MDM/MDG) Consultant
  • Enterprise Data Architect (with governance focus)
  • Business Intelligence Governance Lead
  • Governance Tool Implementation Consultant (e.g., Collibra, Informatica)

Companies across banking, healthcare, government, manufacturing, insurance, and retail are hiring data governance professionals to build structured data practices and ensure regulatory compliance.

This course prepares you for strategic and operational roles on data governance teams, with a strong foundation to grow into governance leadership, Chief Data Officer (CDO) functions, or cross-functional data strategy roles.

 

Interview Questions Back to Top

  1. What is data governance?
     Data governance is the framework for managing data assets through policies, procedures, standards, and stewardship to ensure data quality, security, availability, and compliance.

  2. What’s the difference between data governance and data management?
     Governance sets the policies and controls; data management involves the implementation of those policies in day-to-day operations.

  3. What are key components of a data governance framework?
     Stewardship, metadata, business glossary, data quality, roles and responsibilities, compliance, and tools.

  4. What are data stewards responsible for?
     They manage data quality, enforce policies, resolve issues, and act as liaisons between business and IT.

  5. What is a business glossary?
     A standardized catalog of business terms and definitions used across the organization to ensure consistency.

  6. What is metadata management?
     The process of managing data about data—such as source, usage, ownership, lineage, and classification.

  7. How does data governance support regulatory compliance?
     It helps maintain transparency, auditability, and control over data usage in line with laws like GDPR, HIPAA, and CCPA.

  8. Which tools are commonly used in data governance?
     Collibra, Informatica Axon, Talend, Microsoft Purview, SAP MDG.

  9. How do you measure data governance success?
     Through maturity assessments, issue resolution time, policy adoption, and improvements in data quality metrics.

  10. What is data lineage?
     A map showing where data originates, how it moves, and how it changes across systems and processes.

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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