15 Topics
10 Days
75 Sessions
Programme Overview
Training Description
Who Should Attend
Session Objectives
- Understand the fundamentals of Cassandra and MongoDB.
- Design and implement scalable database architectures using Cassandra.
- Utilize MongoDB for flexible and schema-less data storage.
- Master querying techniques for both Cassandra and MongoDB.
- Optimize database performance for high-throughput applications.
- Implement data modeling best practices for NoSQL databases.
- Configure and manage Cassandra and MongoDB
- Troubleshoot and debug database issues.
- Implement data security and access control.
- Integrate Cassandra and MongoDB with other data systems.
- Understand how to monitor and maintain NoSQL databases.
- Explore advanced features of both Cassandra and MongoDB.
- Apply real world use cases for Cassandra and MongoDB.
About the Course
This advanced training provides participants with practical skills to design, implement, manage, scale, and optimize NoSQL database solutions using Apache Cassandra and MongoDB. The course explores distributed database architecture, data modelling, high availability, replication, performance optimization, security, backup, and operational management.Participants will learn how Cassandra and MongoDB address the challenges of handling large-scale, high-volume, and rapidly changing data. The training emphasizes practical database design and deployment for modern applications, big data platforms, real-time systems, and cloud-native environments.
Curriculum & Topics
15 Topics | 75 Sessions
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Workshop 1.1:
Fundamentals of NoSQL databases.
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Workshop 1.2:
Understanding different NoSQL data models.
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Workshop 1.3:
Use cases for Cassandra and MongoDB.
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Workshop 1.4:
Setting up development environments.
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Workshop 1.5:
Introduction to NoSQL concepts.
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Workshop 2.1:
Architecture and design of Cassandra.
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Workshop 2.2:
Data modeling in Cassandra.
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Workshop 2.3:
Working with CQL (Cassandra Query Language).
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Workshop 2.4:
Configuring Cassandra clusters.
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Workshop 2.5:
Understanding Cassandra data distribution.
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Workshop 3.1:
Advanced data modeling techniques.
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Workshop 3.2:
Designing efficient schemas for Cassandra.
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Workshop 3.3:
Optimizing queries for performance.
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Workshop 3.4:
Implementing batch processing and aggregations.
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Workshop 3.5:
Advanced CQL queries.
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Workshop 4.1:
Architecture and design of MongoDB.
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Workshop 4.2:
Data modeling in MongoDB.
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Workshop 4.3:
Working with MongoDB Query Language.
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Workshop 4.4:
Configuring MongoDB deployments.
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Workshop 4.5:
Understanding MongoDB indexes.
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Workshop 5.1:
Advanced data modeling and schema design.
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Workshop 5.2:
Utilizing aggregations and map-reduce in MongoDB.
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Workshop 5.3:
Optimizing queries for performance.
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Workshop 5.4:
Implementing transactions and data consistency.
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Workshop 5.5:
Advanced MongoDB queries.
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Workshop 6.1:
Installing and configuring Cassandra clusters.
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Workshop 6.2:
Managing nodes and data centers.
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Workshop 6.3:
Monitoring Cassandra performance.
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Workshop 6.4:
Implementing security and access control.
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Workshop 6.5:
Troubleshooting common issues.
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Workshop 7.1:
Installing and configuring MongoDB replica sets.
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Workshop 7.2:
Managing sharded clusters.
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Workshop 7.3:
Monitoring MongoDB performance.
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Workshop 7.4:
Implementing security and authentication.
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Workshop 7.5:
Troubleshooting common issues.
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Workshop 8.1:
Optimizing Cassandra performance.
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Workshop 8.2:
Tuning MongoDB deployments.
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Workshop 8.3:
Implementing caching and indexing strategies.
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Workshop 8.4:
Performance monitoring and analysis.
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Workshop 8.5:
Best practices for performance optimization.
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Workshop 9.1:
Implementing authentication and authorization.
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Workshop 9.2:
Data encryption and access control.
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Workshop 9.3:
Security best practices for Cassandra and MongoDB.
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Workshop 9.4:
Auditing and compliance.
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Workshop 9.5:
Securing data at rest and in transit.
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Workshop 10.1:
Implementing backup strategies for Cassandra.
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Workshop 10.2:
Performing data recovery in Cassandra.
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Workshop 10.3:
Implementing backup strategies for MongoDB.
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Workshop 10.4:
Performing data recovery in MongoDB.
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Workshop 10.5:
Disaster recovery planning.
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Workshop 11.1:
Integrating Cassandra with other data systems.
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Workshop 11.2:
Integrating MongoDB with other data systems.
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Workshop 11.3:
Utilizing connectors and drivers.
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Workshop 11.4:
Implementing data migration strategies.
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Workshop 11.5:
Integrating with data pipelines.
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Workshop 12.1:
Utilizing materialized views and secondary indexes.
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Workshop 12.2:
Implementing custom user-defined functions (UDFs).
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Workshop 12.3:
Advanced Cassandra configurations.
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Workshop 12.4:
Utilizing Cassandra for time-series data.
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Workshop 12.5:
Advanced techniques for data replication.
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Workshop 13.1:
Utilizing change streams and transactions.
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Workshop 13.2:
Implementing geospatial queries.
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Workshop 13.3:
Advanced MongoDB aggregations.
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Workshop 13.4:
Utilizing MongoDB for real-time analytics.
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Workshop 13.5:
Advanced sharding strategies.
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Workshop 14.1:
Deploying Cassandra and MongoDB on cloud platforms.
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Workshop 14.2:
Managing cloud resources for NoSQL databases.
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Workshop 14.3:
Cloud-specific performance tuning.
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Workshop 14.4:
Security considerations for cloud deployments.
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Workshop 14.5:
Cost optimization for cloud based systems.
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Workshop 15.1:
Emerging trends in NoSQL databases.
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Workshop 15.2:
Best practices for designing and managing NoSQL systems.
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Workshop 15.3:
Utilizing NoSQL for modern applications.
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Workshop 15.4:
Integrating NoSQL with AI and machine learning.
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Workshop 15.5:
Future of NoSQL in data architectures.
