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Cornell University

Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis)

Cornell University via freeCodeCamp

Overview

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Explore relational and non-relational database management systems in this comprehensive 17-hour course from Cornell University. Dive into querying database systems using SQL, understand internal database operations including data storage, indexing, query processing, and optimization. Examine transaction processing with ACID guarantees, and delve into database design principles. Investigate novel data management approaches through NoSQL and NewSQL systems. Gain insights into specialized systems for graph, stream, and spatial data. Learn from Professor Immanuel Trummer's Fall 2020 online lectures, covering topics such as SQL, data storage and indexing, relational data processing, and transaction processing. Access additional resources including downloadable slides and recommended textbook "Database Management Systems" by Raghu Ramakrishnan and Johannes Gehrke for a thorough understanding of database systems.

Syllabus

The Structured Query Language (SQL).
Storing and Indexing Data.
Relational Data Processing.
Transaction Processing.

Taught by

freeCodeCamp.org

Reviews

4.7 rating, based on 24 Class Central reviews

Start your review of Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis)

  • Profile image for Aya ALIBOU
    Aya ALIBOU
    I had the opportunity to take the Database Systems course offered by Cornell University, and I found it to be an excellent resource for learning about SQL, NoSQL, and large-scale data analysis. The course provided a comprehensive overview of databas…
  • Great Course and a Lot of Information regarding Databases, Indexes and Aligning the Data into Many Forms aswellas Understanding the Databases such as SQL, NoSQL, PostgreSQL.
  • Profile image for Anomali
    Anomali
    I am thoroughly impressed with the course I recently attended. The instructors were highly knowledgeable and presented the material in an engaging and comprehensible manner. The course content was well-structured, covering all the essential topics and providing practical examples that made learning enjoyable. The interactive sessions and hands-on activities were particularly beneficial, allowing me to apply what I learned in real-time. Additionally, the supportive environment and the opportunity to collaborate with fellow participants enriched my learning experience. Overall, this course has significantly enhanced my understanding and skills, and I would highly recommend it to anyone seeking to deepen their knowledge in this field.
  • Profile image for Aastha Shende
    Aastha Shende
    The Database Systems course at Cornell University provides a thorough exploration of SQL, NoSQL, and large-scale data analysis. It covers essential topics such as SQL querying, normalization, and transaction management, as well as advanced subjects including NoSQL databases (like MongoDB and Cassandra) and big data frameworks such as Hadoop and Spark. The course is taught by knowledgeable faculty who emphasize hands-on learning through practical projects. These projects involve designing and implementing databases, ensuring that students gain practical skills applicable in both academic and industry contexts by focusing on current industry practices and trends.
  • David Lobo Fonseca
    I would rate the course as highly informative and well-structured. It provides a solid introduction to both SQL and NoSQL databases, covering the fundamental differences and use cases for each. The course also delves into large-scale data analysis techniques, making it ideal for learners interested in understanding how to manage and analyze big data efficiently. The explanations are clear, and the hands-on exercises reinforce the concepts. However, the pace might feel fast for complete beginners, so some prior knowledge is helpful. Overall, it’s a great resource for developing practical data skills.
  • Profile image for Temesgan Nedi
    Temesgan Nedi
    The course was well-structured and covered a wide range of topics, from relational databases to NoSQL databases. The instructor was knowledgeable and engaging, making complex concepts easy to understand.

    The course included hands-on exercises and projects that allowed me to practice what I learned. The platform was user-friendly and easy to navigate. I found the course to be excellent value for the price, and I would highly recommend it to anyone looking to learn about database systems.
  • Ahmed Ibrahim
    Cornell University's database course offers a comprehensive dive into database management, covering essential concepts with clarity and depth. The instructors adeptly balance theory with practical applications, providing hands-on experience crucial…
  • Profile image for Amit Mehrotra
    Amit Mehrotra
    The course on databases was an informative and comprehensive introduction to the world of data management. It covered a wide range of topics, from the fundamentals of relational databases to more advanced concepts like indexing, normalization, and q…
  • Amsath Sherif LD
    The freeCodeCamp Database Systems course offered by Cornell University provides a comprehensive and insightful exploration of SQL, NoSQL, and Large-Scale Data Analysis. Through clear lectures and practical assignments, the course equips learners wit…
  • Profile image for Muhammad Danyal
    Muhammad Danyal
    Database Systems is a comprehensive course offered by Cornell University that covers SQL, NoSQL, and large-scale data analysis. The course provides a deep understanding of database systems and how they are used to manage and analyze data. The course covers topics such as entity-relationship modeling, relational algebra, SQL programming, normalization, indexing, query optimization, transactions, and concurrency control. It also introduces students to NoSQL databases and the challenges of managing large-scale data. The course is well-structured and provides a good balance between theory and hands-on practice. The assignments and projects are challenging but rewarding, helping students develop strong database management and analysis skills.
  • Profile image for Sam Misra
    Sam Misra
    Lengthy, but learned a lot. It covers a wide range of topics, from the fundamentals of relational databases to more advanced concepts like indexing, normalization, and query optimization. The instructor does an excellent job of breaking down complex ideas into understandable chunks.
  • Profile image for Anuska Bashyal
    Anuska Bashyal
    The way that our mentor starts with the basics first in sequential steps and then goes towards the actual topic is very good. Although the video hours are long, they have much content that is very effective to grasp contents.
  • Anonymous
    Good to learn about it.
    Very specific and interesting
    Thank you for the experience
    Great from Portugal
  • A very great course! I learned a lot about databases. I'm not very familiar with PostgreSQL and through this course, I can say now that I have a very good understanding of it. Great job.
  • Ariane Tier De Mello
    an excellent learning for those who want to delve into data.
    The duration of the course is great, I would recommend it to friends/colleagues in the profession.
  • Trupti Sontakke
    The course was so intresting and informative. It helped me to learn about the topic database system.
  • Profile image for Ramy Hassib
    Ramy Hassib
    very good Database Systems - Cornell University Course SQL, NoSQL, Large-Scale Data Analysis Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis)
  • Kgaugelo Irene Setjie
    I am really like this course because i'v learned so many things in this. So i can encourage you aswell to try this course and get something for future
  • Thaufiq Ahmed
    have made a clear of the Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis) with useful learning
  • Profile image for Mr DJEDDI MOHAMED
    Mr DJEDDI MOHAMED
    It's an interssting course, Hope more details in each database Languages
    And exercices in each chanter or quiz question

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