Serverless Data Processing: Building Elastic Pipelines
Build scalable data pipelines using serverless services. Learn how AWS Lambda, Azure Functions, and Cloud Functions integrate for cost-effective processing.
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Slowly Changing Dimensions: History in Data Warehouses
Master Slowly Changing Dimension techniques including Type 1, Type 2, and Type 3 for maintaining historical accuracy in data warehouses.
Snowflake Schema: Normalized Dimension Design
Explore snowflake schema design, where dimension tables are normalized into related sub-tables, reducing redundancy and enabling shared reference data.
Star Schema: The Workhorse of Dimensional Data Modeling
Discover why star schema remains the dominant approach for analytical databases, how it enables fast queries, and when to use it versus alternatives.
Audit Logging: Tracking Data Changes for Compliance
Implement audit logging for compliance. Learn row-level change capture with triggers and CDC, log aggregation strategies, and retention policies.
Database Backup Strategies: Full, Incremental, and PITR
Learn database backup strategies: full, incremental, and differential backups. Point-in-time recovery, WAL archiving, and RTO/RPO planning.
Cache Stampede Prevention: Protecting Your Cache
Learn how single-flight, request coalescing, and probabilistic early expiration prevent cache stampedes that can overwhelm your database.
Database Capacity Planning: A Practical Guide
Plan for growth before you hit walls. This guide covers growth forecasting, compute and storage sizing, IOPS requirements, and cloud vs on-prem decisions.
Column-Family Databases: Cassandra and HBase Architecture
Cassandra and HBase data storage explained. Learn partition key design, column families, time-series modeling, and consistency tradeoffs.
Connection Pooling: HikariCP, pgBouncer, and ProxySQL
Learn connection pool sizing, HikariCP, pgBouncer, and ProxySQL, timeout settings, idle management, and when pooling helps or hurts performance.