Coursera

Advanced Topics and Future Trends in Database Technologies (Coursera)

Offered by University of Colorado Boulder,
Advanced Topics and Future Trends in Database Technologies (Coursera)

This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 3 of 3 in the Databases for Data Scientists Specialization.

What You Will Learn

  • In-depth and advanced areas of database technologies
  • The future of database software and where the industry is heading

Syllabus

WEEK 1
DBMS Administration Essentials
In this module we will take a deeper look into the internals of DBMS software to better understand how it works. We will examine the role of the DBA (Database Administrator), the Data Scientist, the Data Architect, and other career paths in the realm of database technologies. This module covers DBMS essentials such as concurrency management, backup & recovery, and transaction logging.

WEEK 2
Data Warehousing, Data Cube
We have learned to design a Relational Database around the typical transactions or activities a business might have. However, in case we need to analyze data, rather than collect data, we need to create a database for the subject of interest to support decision making. In this module, we are going to learn a different perspective of organizing the data, Data Warehouse, or Online Analytical Processing.

WEEK 3
Big Data and the Data Explosion
We are in the era of data explosion. While relational databases are still widely used, we are having new problems to deal with data that is different than the one we have been organizing. This new type of data, with 10 V's in the definition, is called Big Data. We are going to explore the definitions, the challenges, and the architecture of the Big Data in this module.

WEEK 4
The Relational Problem and NoSQL Systems
Although relational database software has been in use for decades, relational database systems still command a huge share of the database software marketplace. However, with the more recent explosion of Big Data, relational systems are struggling to keep up. Big Data has opened the door for non-relational database solutions ("NoSQL") to capture marketshare from relational systems. In this module we will take a deeper look into the most popular NoSQL database technologies.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera)

Security & Networking

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

Sep 14th 2026
4 Weeks
Cloud Machine Learning Big Data
Details
Data Visualization with Advanced Excel (Coursera) Coursera
PwC

Data Visualization with Advanced Excel (Coursera)

Statistics & Data Analysis Data Science

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek.

Sep 14th 2026
4 Weeks
Databases Excel Data Analysis
Details
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

Marketing & Communication Business

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Sep 28th 2026
5-12 Weeks
Business Artificial Intelligence Big Data
Details
Machine Learning With Big Data (Coursera) Coursera
University of California, San Diego

Machine Learning With Big Data (Coursera)

Statistics & Data Analysis Data Science

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Sep 14th 2026
5-12 Weeks
Algorithms Machine Learning Big Data
Details
Getting Started with CyberGIS (Coursera) Coursera
University of Illinois at Urbana-Champaign

Getting Started with CyberGIS (Coursera)

Statistics & Data Analysis Data Science

This course is intended to introduce students to CyberGIS—Geospatial Information Science and Systems (GIS)—based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.

Sep 28th 2026
4 Weeks
Big Data Geospatial Hadoop
Details
Graph Analytics for Big Data (Coursera) Coursera
University of California, San Diego

Graph Analytics for Big Data (Coursera)

Statistics & Data Analysis Data Science

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.

Sep 14th 2026
5-12 Weeks
Big Data Data Analysis Graphs
Details
Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Sep 28th 2026
4 Weeks
Machine Learning Big Data Data Science
Details
Data Warehouse Concepts, Design, and Data Integration (Coursera) Coursera
University of Colorado System

Data Warehouse Concepts, Design, and Data Integration (Coursera)

CS: Design & Product

This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.

Sep 14th 2026
5-12 Weeks
Business Intelligence Data Warehousing Data Warehouse
Details
Security and Privacy for Big Data - Part 2 (Coursera) Coursera
EIT Digital

Security and Privacy for Big Data - Part 2 (Coursera)

CS: Information & Technology

This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control.

Sep 21st 2026
1 Week
Security Big Data Privacy
Details