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AI Scalability Handling Big Data for Intelligent Insights: Learn to scale AI systems for large-scale data processing

by Corwin Halesworth
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₹1,654.00
Original price ₹1,654.00
Original price ₹1,654.00
₹1,654.00
Current price ₹1,654.00

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Book cover type: Paperback
  • ISBN13: 9798262024988
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 168
  • Original Price: USD 16.99
  • Language: English
  • Edition: N/A
  • Item Weight: 232 grams
  • BISAC Subject(s): Artificial Intelligence / General

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 For
  • ML/AI engineers building large-scale training and inference systems

  • Data engineers designing high-volume pipelines and lakehouse platforms

  • MLOps/platform teams responsible for reliability, cost, and compliance

  • Technical leaders turning big data into fast, trustworthy decisions

Scale isn't a luxury-it's the difference between a demo and a durable product.

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