15 Topics
10 Days
75 Sessions
Programme Overview
Training Description
Who Should Attend
Session Objectives
- Understand the fundamentals of NoSQL databases (Cassandra, MongoDB).
- Master data modeling and schema design for NoSQL databases.
- Utilize Cassandra for high-availability and scalable data storage.
- Implement MongoDB for flexible document-oriented data management.
- Design and build efficient NoSQL database applications.
- Optimize NoSQL database performance for specific use cases.
- Troubleshoot and address common issues in NoSQL deployments.
- Implement data security and access control in NoSQL environments.
- Integrate NoSQL databases with various application frameworks.
- Understand how to handle large-scale data processing with NoSQL.
- Explore advanced NoSQL database features (e.g., aggregations, indexing).
- Apply real world use cases for Cassandra and MongoDB.
- Leverage NoSQL database tools and frameworks for efficient development.
About the Course
This advanced training provides participants with the knowledge and practical skills required to design, deploy, manage, and optimize distributed NoSQL databases for large-scale enterprise applications. The course focuses on distributed data architectures that support high availability, horizontal scalability, fault tolerance, low-latency access, and continuous data growth.Participants will explore NoSQL database models, distributed architecture, partitioning, replication, consistency, data modelling, performance optimization, security, monitoring, backup, and disaster recovery. The training examines technologies such as Apache Cassandra, MongoDB, and other distributed NoSQL platforms, with emphasis on selecting the right architecture for enterprise workloads.
Curriculum & Topics
15 Topics | 75 Sessions
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Workshop 1.1:
Fundamentals of NoSQL databases (Cassandra, MongoDB).
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Workshop 1.2:
Overview of key-value stores, document stores, and wide-column stores.
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Workshop 1.3:
Setting up a NoSQL database development environment.
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Workshop 1.4:
Introduction to Cassandra and MongoDB architectures.
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Workshop 1.5:
Best practices for NoSQL database design.
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Workshop 2.1:
Mastering data modeling and schema design for NoSQL databases.
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Workshop 2.2:
Utilizing data modeling techniques for Cassandra and MongoDB.
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Workshop 2.3:
Implementing schema-less and schema-flexible designs.
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Workshop 2.4:
Designing and building efficient data models.
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Workshop 2.5:
Best practices for data modeling.
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Workshop 3.1:
Utilizing Cassandra for high-availability and scalable data storage.
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Workshop 3.2:
Implementing Cassandra data replication and consistency.
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Workshop 3.3:
Designing and building Cassandra clusters.
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Workshop 3.4:
Optimizing Cassandra for high throughput.
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Workshop 3.5:
Best practices for Cassandra.
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Workshop 4.1:
Implementing MongoDB for flexible document-oriented data management.
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Workshop 4.2:
Utilizing MongoDB collections and documents.
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Workshop 4.3:
Designing and building MongoDB applications.
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Workshop 4.4:
Optimizing MongoDB for query performance.
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Workshop 4.5:
Best practices for MongoDB.
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Workshop 5.1:
Designing and building efficient NoSQL database applications.
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Workshop 5.2:
Utilizing NoSQL database drivers and APIs.
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Workshop 5.3:
Implementing data access patterns for NoSQL.
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Workshop 5.4:
Optimizing applications for NoSQL databases.
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Workshop 5.5:
Best practices for application development.
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Workshop 6.1:
Optimizing NoSQL database performance for specific use cases.
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Workshop 6.2:
Utilizing indexing and query optimization techniques.
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Workshop 6.3:
Implementing data partitioning and sharding.
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Workshop 6.4:
Designing efficient NoSQL data retrieval strategies.
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Workshop 6.5:
Best practices for performance optimization.
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Workshop 7.1:
Troubleshooting and addressing common issues in NoSQL deployments.
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Workshop 7.2:
Analyzing NoSQL database logs and error messages.
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Workshop 7.3:
Utilizing problem-solving techniques for resolution.
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Workshop 7.4:
Resolving common NoSQL database errors.
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Workshop 7.5:
Best practices for troubleshooting.
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Workshop 8.1:
Implementing data security and access control in NoSQL environments.
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Workshop 8.2:
Utilizing authentication and authorization mechanisms.
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Workshop 8.3:
Designing and building secure NoSQL applications.
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Workshop 8.4:
Optimizing security for data protection.
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Workshop 8.5:
Best practices for security.
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Workshop 9.1:
Integrating NoSQL databases with various application frameworks.
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Workshop 9.2:
Utilizing NoSQL database connectors and drivers.
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Workshop 9.3:
Implementing NoSQL databases in web and mobile applications.
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Workshop 9.4:
Optimizing integration for data access.
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Workshop 9.5:
Best practices for integration.
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Workshop 10.1:
Understanding how to handle large-scale data processing with NoSQL.
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Workshop 10.2:
Utilizing NoSQL database for big data applications.
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Workshop 10.3:
Implementing data aggregation and analytics in NoSQL.
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Workshop 10.4:
Designing scalable NoSQL solutions.
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Workshop 10.5:
Best practices for large data.
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Workshop 11.1:
Exploring advanced NoSQL database features (aggregations, indexing).
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Workshop 11.2:
Utilizing advanced query techniques in MongoDB.
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Workshop 11.3:
Implementing advanced data replication in Cassandra.
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Workshop 11.4:
Designing and building advanced NoSQL applications.
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Workshop 11.5:
Optimizing advanced techniques for specific applications.
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Workshop 11.6:
Best practices for advanced features.
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Workshop 12.1:
Implementing NoSQL databases for IoT data storage.
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Workshop 12.2:
Utilizing NoSQL databases for real-time analytics.
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Workshop 12.3:
Implementing NoSQL databases for content management systems.
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Workshop 12.4:
Utilizing NoSQL databases for social media applications.
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Workshop 12.5:
Best practices for real-world applications.
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Workshop 13.1:
Utilizing NoSQL database tools and frameworks (Cassandra CQLSH, MongoDB Compass).
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Workshop 13.2:
Implementing NoSQL database management with specific tools.
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Workshop 13.3:
Designing and building automated deployment workflows.
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Workshop 13.4:
Optimizing tool usage for efficient development.
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Workshop 13.5:
Best practices for tool implementation.
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Workshop 14.1:
Implementing NoSQL database monitoring and logging.
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Workshop 14.2:
Utilizing NoSQL database monitoring tools and metrics.
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Workshop 14.3:
Designing and building performance dashboards.
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Workshop 14.4:
Optimizing monitoring for real-time insights.
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Workshop 14.5:
Best practices for monitoring.
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Workshop 15.1:
Emerging trends in NoSQL databases.
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Workshop 15.2:
Utilizing NoSQL databases in cloud-native environments.
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Workshop 15.3:
Implementing NoSQL databases for data mesh architectures.
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Workshop 15.4:
Best practices for future applications.
