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

Use Azure Cosmos DB for globally distributed workloads — consistency levels, partitioning, and API choices

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.