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Week - 1 |
Introduction to database management in railway systems; fundamental concepts, historical development, application areas |
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Week - 2 |
Data modeling techniques: entity-relationship (ER) model, relational model, schema design |
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Week - 3 |
Relational database management systems; SQL and advanced query techniques |
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Week - 4 |
Railway operation databases: service, line, vehicle and personnel data management |
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Week - 5 |
ERP systems: SAP for Railways, IBM Maximo, Oracle Transportation Management |
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Week - 6 |
EN: CMMS and RAMS data management; database-supported maintenance processes |
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Week - 7 |
AFC systems and passenger data management; ticketing database architectures |
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Week - 8 |
ERTMS/ETCS and GSM-R data management; safety-critical database requirements |
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Week - 9 |
IoT sensor data and real-time data streams; railway asset monitoring systems |
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Week - 10 |
Big data analytics: Hadoop, Spark, data mining in railway operations |
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Week - 11 |
NoSQL database architectures: document, column, graph and key-value stores |
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Week - 12 |
Compliance with TSI and CENELEC standards; data security and audit requirements |
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Week - 13 |
Database performance optimization: indexing, query planning, caching |
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Week - 14 |
Cloud-based and distributed database systems; digital transformation and future trends |