scalability handling big data von halesworth corwin (3 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Your models are only as powerful as your ability to scale them.In AI Scalability: Handling Big Data for Intelligent Insights, you'll learn how to design end-to-end AI systems that stay fast, reliable, and cost-efficient-even as data volumes soar and user demand spikes. From petabyte-scale pipelines to low-latency inference, this practical guide shows you how to turn big data into real-time intelligence.Inside, you'll discover how to: Architect data pipelines for scale: batch + streaming (ETL/ELT), partitioning, sharding, caching, and lakehouse patterns.Build distributed training with data/model/ pipeline parallelism (Spark, Ray, Dask) and efficient checkpointing.Optimize feature engineering at scale with feature stores, vector search, and online/offline consistency.Ship high-throughput inference using autoscaling microservices, asynchronous queues, and edge + cloud hybrids.Cut latency with model optimization: quantization, pruning, mixed precision, distillation, and hardware acceleration (GPU/TPU).Productionize with MLOps at scale: CI/CD for models, experiment tracking, lineage, reproducibility, and rollouts (canary/blue-green).Observe and govern: monitoring, drift/outlier detection, data quality checks, cost controls, and compliance-ready governance.Balance performance vs. spend with intelligent autoscaling, right-sizing, and workload-aware architectures.Filled with field-tested patterns, sizing formulas, and checklists, this book equips data scientists, ML engineers, and platform teams to deliver AI that performs under real-world pressure-today and at tomorrow's scale.Who This Book Is ForML/AI engineers building large-scale training and inference systemsData engineers designing high-volume pipelines and lakehouse platformsMLOps/platform teams responsible for reliability, cost, and complianceTechnical leaders turning big data into fast, trustworthy decisionsScale isn't a luxury-it's the difference between a demo and a durable product. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.