Sharding/ Data Partition Distributed Systems | Complete MAANG Interview Guide скачать в хорошем качестве

Sharding/ Data Partition Distributed Systems | Complete MAANG Interview Guide

master data partitioning and ace your next system design interview at google, amazon, meta, apple, netflix, or microsoft. this 14-minute tutorial covers everything from basic concepts to advanced strategies used by big tech companies. 🎯 what you'll learn: • why netflix, instagram, and twitter use data partitioning • key range vs hash partitioning strategies • how to solve hot spot problems that crash systems • secondary indexes (document-based vs term-based) • rebalancing partitions without downtime • request routing patterns used in production • real interview question walkthrough from google 💡 perfect for: • software engineers preparing for faang/maang interviews • backend developers learning distributed systems • system design interview preparation • computer science students • anyone building scalable applications 🔥 key concepts covered: • consistent hashing • scatter-gather queries • zookeeper coordination • redis caching strategies • mongodb, cassandra, dynamodb patterns • kafka, hbase, elasticsearch architecture 📚 topics explained: partitioning strategies | sharding | distributed databases | scalability | high availability | load balancing | database optimization | system design patterns | microservices architecture | cloud computing 🎓 interview preparation: this tutorial is specifically designed for system design interviews at top tech companies. each concept is explained with real-world examples and production use cases. 💬 comment below: • your interview date • which topic you want next • questions about partitioning 👍 if this helped you, please like and subscribe for more system design content! 🔔 turn on notifications to never miss an upload #systemdesign #datapartitioning #maanginterview #faanginterview #softwareengineering #distributedsystems #coding #programming #techjobs #interviewprep #backend #databases #scalability #cloudcomputing #softwaredeveloper