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  • A quickโ€‘reference guide that covers the most effective techniques, tools, and bestโ€‘practice 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, backโ€‘pressure 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 handโ€‘picked set of learning materials that cover the core concepts, best practices, and handsโ€‘on experience needed to design, build, and operate realโ€‘time 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 itโ€™s useful Foundational Books Streaming Systems:…

  • Mastering Pipeline Performance Optimization

    Performanceโ€‘critical pipelinesโ€”whether theyโ€™re CPU instruction pipelines, GPU shader pipelines, dataโ€‘processing pipelines, or CI/CD build pipelinesโ€”are 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 deepโ€‘dive…