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15 resultsApache Iceberg — The Open Table Format Explained
Snapshots, schema evolution, partition evolution, time travel, and compaction.
Apache 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.
Async/Await Patterns and Common Pitfalls
Concurrency, parallelism, error handling, and avoiding common async bugs.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
Batch vs Streaming Pipelines — Choosing the Right Pattern
Lambda architecture, Kappa architecture, and practical guidance for choosing.
PostgreSQL Replication — Streaming, Logical, and Read Replicas
Set up read replicas, understand WAL, and choose between streaming and logical replication.
Microservices Communication — Sync vs Async Patterns
REST, gRPC, message queues, and choosing the right pattern for each interaction.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
Container Registry Management and Image Lifecycle
Tagging conventions, vulnerability scanning, retention policies, and registry options.
Stream Processing with Apache Flink
Event time vs processing time, windows, stateful operators, and production deployment.
ETL vs ELT — Which Pattern Should You Use?
Understand the difference between Extract-Transform-Load and Extract-Load-Transform and when each fits.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Schema Registry and Avro for Kafka Data Contracts
Why schema management matters for streaming pipelines and how to implement it.
Data & Platform — Service Overview
Pipelines, vector stores, governance, and privacy-first data design.