Search results
27 resultsGraph Databases — When to Use Neo4j Over Relational
Nodes, edges, Cypher queries, and use cases where graph beats SQL.
Introduction to Data Pipelines
What a data pipeline is, the core stages, and when to build vs buy.
What is Retrieval-Augmented Generation (RAG)?
A plain-English explanation of RAG: why it beats pure LLM memory for production knowledge systems.
Database Schema Migration Strategies
Expand-contract pattern, zero-downtime migrations, and tooling.
Multi-Tenancy Patterns — Database-per-Tenant, Schema-per-Tenant, and Row-Level
Tradeoffs for SaaS data isolation, compliance, and operational complexity.
Choosing a vector database: pgvector vs Pinecone vs Weaviate
A practical comparison across dimensions that matter for production RAG systems.
SQL Query Optimisation — Indexes, Execution Plans, and N+1
Practical techniques for making slow queries fast.
Change Data Capture (CDC) — Debezium and Log-Based CDC
How CDC works, why it beats polling, and how to implement it with Debezium.
DuckDB — Blazing Fast Local Analytics
When to reach for DuckDB instead of Spark, and how to use it effectively.
Database Connection Pooling — Why It Matters and How to Configure It
Pool sizing, connection lifetime, and debugging pool exhaustion.
Secrets Management for Data Platforms
HashiCorp Vault, AWS Secrets Manager, and patterns for rotating credentials safely.
Airflow Best Practices for Production Pipelines
Idempotency, backfilling, SLA misses, and common pitfalls to avoid.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
Migrating from MySQL to PostgreSQL
Schema translation, data migration, and common incompatibilities to address.
The Twelve-Factor App — Principles for Modern Services
How the twelve factors apply to real production services today.
Logging Best Practices for Production Services
Structured logging, log levels, correlation IDs, and log aggregation.
Extracting Microservices from a Monolith
The strangler fig pattern, identifying seams, and avoiding the distributed monolith.
Time-Series Databases — InfluxDB vs TimescaleDB vs ClickHouse
Comparing purpose-built and general-purpose solutions for time-series data.
Running Data Workloads on Kubernetes
Spark on K8s, Airflow on K8s, resource requests, and storage patterns.
API Pagination — Cursor, Offset, and Keyset Patterns
When each method works, performance tradeoffs, and implementation details.
Data & Platform — Service Overview
Pipelines, vector stores, governance, and privacy-first data design.
Vector Embeddings — How They Work and Where They Live
From text to vectors, similarity search, and choosing the right embedding model.
Implementing Search — From Basic SQL to Elasticsearch
Full-text search progression from LIKE queries to dedicated search engines.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.
Building a Data Catalog with DataHub
Ingestion, metadata, search, and making your catalog actually useful.
API Idempotency — Safe Retries for Mutations
Idempotency keys, implementation, and which HTTP methods are idempotent by definition.
Database Connection Patterns in PHP
PDO, prepared statements, connection pooling, and transaction management.