Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis)
Cornell University via freeCodeCamp
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Overview
This course covers relational and non-relational database management systems, teaching how to query databases using SQL, understand internal workings, optimize queries, and ensure ACID guarantees. It also explores NoSQL and NewSQL systems, graph, stream, and spatial data, and specialized systems for these data types. The teaching method includes lectures and discussions on database design, with a focus on practical applications and novel approaches to data management. The intended audience for this course includes individuals interested in database systems, data analysis, and large-scale data processing.
Syllabus
The Structured Query Language (SQL).
Storing and Indexing Data.
Relational Data Processing.
Transaction Processing.
Taught by
freeCodeCamp.org
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Reviews
4.6 rating, based on 22 Class Central reviews
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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…
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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.
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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…
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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.
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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.
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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…
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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…
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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.
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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.
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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.
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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.
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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. -
The course was so intresting and informative. It helped me to learn about the topic database system.
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very good Database Systems - Cornell University Course SQL, NoSQL, Large-Scale Data Analysis Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis)
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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
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have made a clear of the Database Systems - Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis) with useful learning
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It's an interssting course, Hope more details in each database Languages
And exercices in each chanter or quiz question -
Thank you very much for your practical training. I learned a lot from you. Thank you for providing this training.
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I have a great experience having with course.Great content in videos and best defined by instructor. I love it.