Database Insights

Master MongoDB aggregation pipeline stages — $lookup, $group, $facet, explain plans, and index optimization

Use Neo4j for relationship-heavy data — Cypher query language, graph algorithms, and fraud detection use cases

Choose the right Cassandra compaction strategy for your workload — STCS for write-heavy, LCS for read-heavy, TWCS for time-series

Build full-text search with MongoDB Atlas Search — analyzers, scoring, autocomplete, and relevance tuning

Achieve microsecond latencies at scale with Aerospike. Learn hybrid memory architecture, strong consistency, cross-datacenter replication, and use cases for AdTech and fraud detection.

Model data in Cassandra around query patterns — partition key design, clustering columns, and anti-patterns to avoid

Compare ScyllaDB and Apache Cassandra — throughput, latency, operational complexity, and when to switch

A practical guide to Redis use cases in production — cache-aside pattern, sliding window rate limiting, Pub/Sub vs Streams, BRPOP queues with delayed job scheduling, and session storage with persistence configuration.

Design MongoDB sharded clusters — choose shard keys, manage chunk balancing, and avoid hot shards in production

Configure Redis Cluster for horizontal scaling — hash slots, replication, failover, and client-side routing

Master Amazon DynamoDB for serverless and high-scale applications. Learn single-table design, GSI/LSI strategies, capacity planning, and cost optimization techniques.

Complete MongoDB guide covering document modeling, aggregation pipelines, sharding, replication, and Atlas deployment. Learn when MongoDB is the right choice for your application.