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#SQLvsNoSQL #DifferenceBetweenSQLAndNoSQL #SQL #NoSQL #Intellipaat
In this video of SQL vs NoSQL, we will talk about the difference between SQL and NoSQL. We will look into the main features of both technologies categorized by Structure, Storage, Scale, and Accessibility. At the end, we will provide some tips on how to decide between them when starting a project.
Structured Query Language, or SQL, is a standard database language used to create, maintain, and retrieve information from a relational database. Whereas, A NoSQL database is a non-relational database, which means it does not use tabular schema to store the data. In NoSQL databases, we use storage models to store data.
🔵 Following topics are covered in this session:
0:00 - Introduction
0:41 - What is SQL?
1:32 - What is Relational Database?
2:01 - Popular Relational Databases
2:14 - What is NoSQL?
3:08 - What is Non-Relational Database?
3:34 - Popular Non- Relational Databases
3:48 - SQL and NoSQL comparison
5:23 - Companies using SQL & NoSQL
5:40 - SQL or NoSQL: Which is Better?
✅What is the main difference between SQL and NoSQL databases?
SQL databases are relational, using a structured query language for managing structured data with a predefined schema in tables. NoSQL databases are non-relational, offering a flexible approach for handling unstructured or dynamic data without a fixed schema, often in formats like documents or JSON.
✅Why would someone prefer using a NoSQL database over an SQL database?
NoSQL databases are preferred for their flexibility and scalability, especially suitable for applications with large, unstructured data sets or rapidly changing data structures. They allow for quicker and easier data storage and access without the need for a predefined schema, facilitating faster development cycles.
➡️ About the Data Science Course
This course helps you master Python, SQL, machine learning, AI, and PowerBI. Get Data Science Certification from IITM Pravartak (An Innovation Hub of IIT Madras). Become a data scientist by taking this course through a 7-month online program. This online training includes hackathons, faculty sessions, 1:1 doubt clearance, and career services.
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✅ Preparatory Session - Linux and Python
✅ Data Wrangling with SQL
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✅ Linear Algebra and Advanced Statistics
✅ Machine Learning
✅ Supervised and Unsupervised Learning in ML
✅ Performance Metrics
✅ Deep Learning Using TensorFlow
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✅ Business Case Studies
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