The NoSQL Technologies Training Program aims to teach participants the fundamentals of NoSQL databases and how to use these technologies efficiently to meet the demands of big data, flexibility, speed, and scalability. The training provides hands-on experience with MongoDB, Cassandra, and other NoSQL tools.
The training is for professional development purposes, and the certificate obtained does not replace the MYK authorization certificate in trainings where the MYK authorization certificate is mandatory.
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Introduction to NoSQL Technologies
What is NoSQL?: Definition of NoSQL databases, their advantages, and differences from traditional SQL databases.
Types of NoSQL: Introduction to types of NoSQL databases (document, key-value, column, graph).
Advantages of NoSQL: High speed, scalability, flexibility, and suitability for big data applications.
Differences Between NoSQL and SQL: Comparison between relational databases and NoSQL databases.
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Fundamentals of NoSQL Databases
Data Models: NoSQL data models (document, key-value, graph, column-based) and use cases.
Introduction to NoSQL Architecture: Basic structures used in distributed systems, data consistency, flexibility, and scalability.
Data Storage and Access Methods: How data is stored and accessed in NoSQL databases.
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NoSQL Technologies and Popular Tools
MongoDB: Document-based database, key features, data modeling, and querying with MongoDB.
Cassandra: Distributed, column-based database, high availability, scalability, data modeling, and basic operations.
Redis: Key-value based database, high-speed data access, caching, session management, and use cases.
CouchDB: JSON-based, easily distributed document database, RESTful API usage, data synchronization.
Neo4j: Graph-based database, data relationships, and data analysis using graph theory.
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Data Management and Modeling in NoSQL Databases
Data Modeling: Data modeling in NoSQL databases and choosing appropriate data structures.
Relational Data: How to model relational data in NoSQL databases.
Data Relationships and References: Establishing relationships between data without foreign keys.
Data Integrity: Methods for ensuring data consistency in NoSQL databases.
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Querying and Advanced Operations in NoSQL Databases
Introduction to Query Languages: Usage of NoSQL query languages such as MongoDB Query Language (MQL) and Cassandra Query Language (CQL).
Advanced Data Analysis: Filtering, sorting, and grouping operations in NoSQL databases.
Data Backup and Replication: Backup, replication, and measures to prevent data loss risks.
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Scalability and Performance Optimization in NoSQL Databases
Distributed Systems: Horizontal scalability and data distribution in NoSQL databases.
Performance Optimization: Load balancing, data indexing, caching, and database optimization techniques.
Sharding and Replication: Enhancing database performance with data distribution and replication strategies.
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NoSQL and Big Data Applications
Big Data Solutions: The role of NoSQL in big data applications and integration with Hadoop and Spark.
Real-Time Data Processing: Processing and analyzing real-time data with NoSQL databases.
IoT and NoSQL: Collecting, storing, and analyzing Internet of Things (IoT) data.
Data Streams and Log Analysis: Managing data streams, log analysis, and monitoring applications with NoSQL.
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Security and NoSQL
NoSQL Security Fundamentals: Data security, access control, and encryption in NoSQL databases.
User Authorization and Authentication: User management and security protocols in NoSQL databases.
Data Security and Breaches: Ensuring data security in NoSQL databases and preventing potential breaches.
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Application Development and Integration with NoSQL
Application Development: Developing high-performance, scalable applications with NoSQL databases.
NoSQL API Integration: API integrations with NoSQL databases and creating RESTful services.
Database Management Tools: Managing NoSQL databases with tools like MongoDB Compass, Cassandra Query Language (CQL) Shell, and Redis Desktop Manager.
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Skills and Certifications Gained in the Training
NoSQL Database Expertise: Participants will be able to effectively use MongoDB, Cassandra, Redis, and other NoSQL databases to develop applications.
Data Management and Modeling: Participants will be able to manage data, model, work with non-relational data, and perform data analysis effectively.
Data Performance and Optimization: Participants will gain proficiency in performance optimization, scalability, and big data integration in NoSQL databases.
Certification: At the end of the training, participants will receive an internationally recognized certificate in NoSQL technologies.
The training is open to corporate collaborations, and individual applications are not accepted. The training content can be re-planned based on the corporate participant profile and your specific needs. Following mutual discussions, the scope and method of the training (In-person, Online) will be determined, and the related processes will be completed. If an agreement is reached, the suitable dates and times for your institution's participants and our instructors, as well as the location of the training, will be determined.