Introduction to Big Data Tools
Learn why big data processing exists, how distributed computing works, and why tools like Apache Spark handle the heavy lifting so you can focus on business logic.
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Learn why big data processing exists, how distributed computing works, and why tools like Apache Spark handle the heavy lifting so you can focus on business logic.
Learn how Bloom filters work: a probabilistic data structure that tells you with 100% certainty when something doesn't exist. Understand hash functions, bit arrays, false positives, and real-world use cases like recommendation engines and web crawlers.
Learn how consistent hashing solves the data ownership problem in distributed systems. Understand hash-based routing, the ring abstraction, and how to scale up and down with minimal data movement.
Understand how clients and servers communicate over the network. TCP fundamentals, HTTP, WebSockets, Server-Sent Events, and API paradigms like REST, GraphQL, gRPC, and tRPC.
Learn how to build resilient systems through data redundancy, automatic failover, and leader election. Understand backup strategies, database replication, disaster recovery patterns, and how leader election enables zero-downtime auto-recovery.
Learn how circuit breakers prevent cascading failures in distributed systems. Understand why services fail together, how to implement circuit breakers, and practical patterns for building resilient microservices.
Learn how load balancers enable horizontal scalability by distributing traffic across multiple servers. Understand load balancing algorithms, request flow, and key advantages for building resilient systems.
Learn when and why to use asynchronous processing. Understand message queues, streams, and real-time Pub/Sub for building scalable, decoupled systems.
Understand caching fundamentals: what it is, why it matters, and how to use it. Learn about cache architecture, key-value access patterns, and real-world examples with Redis and Memcached.
Explore the world of NoSQL databases: Document DBs, Key-Value Stores, and Graph Databases. Learn when to use each type, their trade-offs, and why they scale horizontally out of the box.
Master database scaling from vertical to horizontal scaling, read replicas, sharding strategies, and partitioning techniques. Learn when to use synchronous vs asynchronous replication and how to choose the right shard key.
Deep dive into how database transactions work under the hood. Understand ACID properties, isolation levels, locking mechanisms, and implementation across PostgreSQL, MySQL, and MongoDB
Prisma ORM setup guide for PostgreSQL with Node.js and TypeScript, includes step-by-step instructions for efficient, type-safe database operations
Implement real-time updates with FastAPI using Server-Sent Events (SSE) for efficient long-running processes and live data streaming