I-Hub Talent: The Best Full Stack Python Institute in Hyderabad
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At I-Hub Talent, you will gain practical experience in HTML, CSS, JavaScript, React, SQL, NoSQL, REST APIs, and Cloud Deployment, making you job-ready. The institute offers real-time projects, career mentorship, and placement assistance, ensuring a smooth transition into the IT industry.
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The main difference between SQL and NoSQL databases lies in how they store, manage, and query data.
SQL Databases (Relational):
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Structured Data: Store data in predefined tables with rows and columns (schema-based).
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Query Language: Use Structured Query Language (SQL) for querying and managing data.
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ACID Compliance: Strong support for Atomicity, Consistency, Isolation, Durability, ensuring reliable transactions.
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Examples: MySQL, PostgreSQL, Oracle, Microsoft SQL Server.
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Best For: Applications requiring complex queries, transactions, and relational data (e.g., financial systems, ERPs).
NoSQL Databases (Non-relational):
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Flexible Schema: Store unstructured or semi-structured data. Data can be stored as key-value pairs, documents, graphs, or wide-columns.
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Scalability: Designed for horizontal scaling, making them suitable for handling large volumes of data across distributed systems.
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Eventual Consistency: Often prioritize availability and partition tolerance over strict consistency (CAP theorem).
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Examples: MongoDB (document), Redis (key-value), Cassandra (wide-column), Neo4j (graph).
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Best For: Big data, real-time web apps, content management, IoT, and applications with rapidly changing data.
Summary:
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SQL = Structured, schema-based, relational, strong consistency.
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NoSQL = Flexible, schema-less, non-relational, scalable.
Choosing between them depends on your application's data structure, scalability needs, and consistency requirements.
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