Search results
12 resultsApache Kafka — Core Concepts and When to Use It
Topics, partitions, consumer groups, and the use cases where Kafka excels.
Change Data Capture (CDC) — Debezium and Log-Based CDC
How CDC works, why it beats polling, and how to implement it with Debezium.
Trino (formerly PrestoSQL) — Federated SQL Across Data Sources
Architecture, connectors, query federation, and performance tuning.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
Schema Registry and Avro for Kafka Data Contracts
Why schema management matters for streaming pipelines and how to implement it.
Event-Driven Data Architecture Patterns
Event sourcing, CQRS, outbox pattern, and when event-driven beats request/response.
Batch vs Streaming Pipelines — Choosing the Right Pattern
Lambda architecture, Kappa architecture, and practical guidance for choosing.
Running Data Workloads on Kubernetes
Spark on K8s, Airflow on K8s, resource requests, and storage patterns.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
Microservices Communication — Sync vs Async Patterns
REST, gRPC, message queues, and choosing the right pattern for each interaction.
Data & Platform — Service Overview
Pipelines, vector stores, governance, and privacy-first data design.
Data Platform Cost Optimization Strategies
Reducing Snowflake, S3, Spark, and Kafka spend without sacrificing performance.