Advanced Topics and Future Trends in Database Technologies
Explore advanced database concepts, NoSQL systems, and emerging trends in data management. Master modern database technologies.
Explore advanced database concepts, NoSQL systems, and emerging trends in data management. Master modern database technologies.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Databases for Data Scientists Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Master advanced DBMS administration techniques
Understand data warehousing and OLAP concepts
Explore big data architecture and challenges
Implement NoSQL database solutions
Analyze future trends in database technologies
Skills you'll gain
This course includes:
5.8 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course delves into advanced database technologies and future trends in the field. The curriculum covers four main areas: DBMS administration essentials, data warehousing and data cube concepts, big data challenges and architecture, and NoSQL systems. Students learn about transaction management, backup strategies, concurrency control, and modern database solutions. The course explores the evolution from traditional relational databases to contemporary big data solutions, examining various NoSQL implementations and their applications in solving modern data challenges.
DBMS Administration Essentials
Module 1 · 5 Hours to complete
Data Warehousing, Data Cube
Module 2 · 3 Hours to complete
Big Data and the Data Explosion
Module 3 · 3 Hours to complete
The Relational Problem and NoSQL Systems
Module 4 · 4 Hours to complete
Fee Structure
Instructors
Experienced IT Leader and Educator
Alan has over 36 years of experience as an Information Technology professional, excelling in IT Leadership, Project Management, Database Administration, Systems Analysis and Design, IT Infrastructure Management, and Technical Architecture Direction. His career spans various industries including Corporate Finance, Manufacturing, Health Care, and Marketing. Most recently, he served as Director of Database Administration at Wiland Inc., a high-tech leader in Marketing Intelligence near Boulder, CO. In August 2017, Alan transitioned to academia as a Teaching Professor in the Computer Science Department at the University of Colorado Boulder. Alongside his industrial experience, he has taught Information Technology and Project Management courses for over 30 years at institutions such as Fontbonne University and Washington University in St. Louis. Additionally, Alan has developed corporate training on topics like Database Fundamentals and Big Data. He holds both Bachelor's and Master's degrees in Information Management from Washington University in St. Louis.
Teaching Assistant Professor
Dr. Di Wu is a Teaching Assistant Professor at the University of Colorado Boulder, specializing in data science and computer science. His primary research interests include temporal databases, the semantic web, knowledge representation, and data science, with a focus on extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU Boulder, he taught various courses such as algorithms and data structures, programming languages, and database management. Dr. Wu aims to develop an inclusive and engaging pedagogy in data science education over the next five years, emphasizing experiential learning in both in-person and online formats. He is involved in teaching courses related to data science and programming, including specializations in Python programming for data scientists.
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4.7 course rating
35 ratings
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