NoSQL Databases for Big Data
Overview
The NoSQL Databases for Big Data Program is designed for data engineers, software developers, and database administrators who want to understand and implement scalable, high-performance NoSQL databases for handling big data applications. This program covers key-value stores, document databases, column-family stores, and graph databases, focusing on their architecture, indexing, replication, and query optimization techniques. Participants will gain hands-on experience working with MongoDB, Cassandra, Redis, DynamoDB, and Neo4j, applying them to real-world big data scenarios.
- Explore key NoSQL databases like MongoDB and Cassandra.
- Learn data modeling and performance tuning for big data applications.
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Introduction to NoSQL & Big Data
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Key-Value Stores – High-Speed Data Retrieval
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Document-Oriented Databases – Flexible Data Models
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Column-Family Stores – Scalable & Distributed Data
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Graph Databases – Relationship-Driven Data Models
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Scaling NoSQL Databases for Big Data Applications
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NoSQL Database Optimization & Performance Tuning
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Security, Backup & Disaster Recovery in NoSQL
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NoSQL Integration with Big Data & AI Applications
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Real-World NoSQL Use Cases & Final Project
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