A quickโreference guide that covers the most effective techniques, tools, and bestโpractice patterns for squeezing every bit of speed and efficiency out of your data pipelines. 1. Core Tuning Pillars Pillar What to Optimize Typical Metrics Ingestion Throughput, latency, backโpressure Record rate, consumer lag, batch size Processing CPU, memory, shuffle, state Executor utilization, GC pause,…
(A practical playbook for building, maintaining, and scaling data quality & compliance) 1. Why Data Governance Matters 2. Core Pillars of a Governance Program Pillar What It Covers Typical Deliverables Data Catalog & Metadata Discovery, lineage, schema, ownership Catalog UI, automated lineage graphs Data Quality Accuracy, completeness, consistency, timeliness Validation rules, dashboards, alerts Data Security…
Below is a handโpicked set of learning materials that cover the core concepts, best practices, and handsโon experience needed to design, build, and operate realโtime data streams.Feel free to mix and match based on your preferred learning style (reading, video, interactive labs, or community discussion). Category Resource Format Why itโs useful Foundational Books Streaming Systems:…
Performanceโcritical pipelinesโwhether theyโre CPU instruction pipelines, GPU shader pipelines, dataโprocessing pipelines, or CI/CD build pipelinesโare the backbone of modern software and hardware systems. Optimizing them is a blend of art and science: you need to understand the underlying architecture, measure the right metrics, and apply targeted tweaks that yield measurable gains. Below is a deepโdive…