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MBA611: Data Management
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COURSE INTRODUCTION
START HERE → Orientation
MBA611 Syllabus
Unit 1: Introduction to Data Management
1.1: Data Management
Data and Databases
1.1.1: Data Lifecycle Management
Research Data Management 101
1.1.2: Value within Data Management
Data Governance
1.1.3: Research Data
Managing Research Data
Basics of Research Data Management
1.2: Data Management Plans
Data Management Planning
Data Management Plans
1.3: Data Management Careers
The Evolving Role of the Data Architect
Data Consultants and Architects
Operations Analysts
IT Systems Analysts
Database Administrator
Unit 1 Discussion
Study Guide: Unit 1
Study Guide: Unit 1
Unit 1 Assessment
Unit 1 Assessment
Unit 2: Understanding Databases and DBMSes
2.1.1: Database Design
Database Systems Concepts
2.1.2: Database Software
Characteristics and Benefits of a Database
2.1.3: Data Administration
Database Administrators
2.2.1: The Essentials
Introduction to Database Management System (DBMS)
2.2.2: How Organizations Use DBMS
Combining Data Management with Organizational Change
Unit 2 Discussion
Study Guide: Unit 2
Study Guide: Unit 2
Unit 2 Assessment
Unit 2 Assessment
Unit 3: Data Models
3.1: Types of Data Models
Data Modeling
Types of Data Models
Data Modeling and Metadata Management
3.1.1: Conceptual Models
Data Modeling
3.1.2: Logical Models
Types of Data Models
3.1.3: Physical Models
Physical Data Models
3.2: Data Model Advantages and Disadvantages
Lessons in Data Modeling
The Advantages of a Relationship Model
3.3: The Enhanced E-R Model and Business Rules
The Entity-Relationship Model
Business Rules
3.3.1: Supertypes and Subtypes
The Enhanced Entity-Relationship Model
3.3.2: How Business Rules are Used
Integrity Rules and Constraints
3.4: Database Security
Database Security
Unit 3 Discussion
Study Guide: Unit 3
Study Guide: Unit 3
Unit 3 Assessment
Unit 3 Assessment
Unit 4: Big Data Processing and Cloud Computing
4.1: Big Data
Introduction to Big Data
4.1.1: Big Data Storage
Infrastructure for Big Data
4.1.2: Big Data Analytics
Big Data Analytics
4.1.3: Challenges of Big Data
Big Data Opportunities and Challenges
Big Data and Industrial Research in Healthcare
4.2: Cloud-Based Services
Strategic Provision of Cloud Computing Services
4.2.1: Cloud-Based Organizations
Cloud Computing and Business Expectations
4.2.2: Disaster Recovery
Disaster Recovery in Cloud Computing
4.2.3: Challenges of Cloud Computing
Compliance and Risk in a Cloud Environment
Unit 4 Discussion
Study Guide: Unit 4
Study Guide: Unit 4
Unit 4 Assessment
Unit 4 Assessment
Unit 5: Introduction to SQL
5.1: SQL
SQL for Beginners
More on SQL
5.2: SQL Functions
Practical SQL Functions
5.3: SQL Queries
Data Manipulation Language
Aggregate Functions and Views in SQL
5.4: MySQL
Essential MySQL Features
Reporting and Analysis in SQL
5.5: SQL Clauses and Operators
Reporting and Analysis in SQL
Unit 5 Discussion
Study Guide: Unit 5
Study Guide: Unit 5
Unit 5 Assessment
Unit 5 Assessment
Unit 6: Data on the Internet
6.1: Web Data
Getting Data From The Web
Google Pay API Explained
Python Web Scraper Tutorial
6.2: Approaches to Web Data Abstraction
Data Abstraction
Research and Data Reusability
6.3: Applications of Data Abstraction
Architecting the Future with Abstractions and Metadata
6.4: Web Crawling
What is Web Crawler?
6.5: Legal Issues
How Open is Open Data Produced by the US Government?
Unit 6 Discussion
Study Guide: Unit 6
Study Guide: Unit 6
Unit 6 Assessment
Unit 6 Assessment
Unit 7: Data Sharing
7.1: Data Sharing
What is Data Sharing?
The Benefits of Sharing Data
7.2: Advantages and Disadvantages
Better Data Sharing Rules
Interoperability and Data Sharing
7.3: Data Sharing Challenges
Equitable Design
7.4: Institutions and Publishers
From Data Sharing to Data Publishing
Unit 7 Discussion
Study Guide: Unit 7
Study Guide: Unit 7
Unit 7 Assessment
Unit 7 Assessment
Unit 8: Data Warehousing and Data-Driven Systems
8.1: Data-Driven Decisions
Data-Driven Decisions
Principles for Digital Development
8.2: How KPIs Relate to Business
The Role of Sustainability KPIs in Implementing Sustainable Strategies
8.3.1: Types of Data Warehousing
Data Warehousing and Data Mining
Data Warehouse Architecture and Schemas
8.3.2: How Data Mining Works
Data Mining Techniques in Analyzing Process
Unit 8 Discussion
Study Guide: Unit 8
Study Guide: Unit 8
Unit 8 Assessment
Unit 8 Assessment
Study Guide
MBA611 Study Guide
Course Feedback Survey
Course Feedback Survey
Practice Final Exam
MBA611: Practice Final Exam
Final Exam
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Summary
Course info
MBA611: Data Management
Time: 44 hours
Learn how data management, database systems, and database applications function in the world of business by exploring technical information and implementation issues relevant to organizational data management.
Course Duration
:
44 hours
Skill Level
:
Beginner
