The Deployed Data Scientist: MLOps and Analytics in Practice

A practical playbook for scaling Machine Learning Operations (MLOps) projects into reliable, scalable data products. The book analyzes systemic failure modes across data pipelines, staging registries, automated gates, and cloud deployment, providing an executive blueprint for corporate execution.

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209 Pages
9 Chapters
2 Parts Structure
979-8898160982 ISBN
The Deployed Data Scientist Book Cover
Ankit Anand Ankit Anand
Dr. Scott Burk Scott Burk
Kinshuk Dutta Kinshuk Dutta

Interactive MLOps Workflow

Explore the end-to-end production MLOps pipeline. Click on any block to see detailed explanations and chapter correlations.

Data Strategy Model Lifecycle Quality Gates SPC Observability Cloud Infrastructure Generative LLMOps
Chapter 2: Data Strategy

Data Strategy & Ingestion

Establishing strict schema checks, ingestion buffering using Kafka/event streams, and structured data contracts to prevent silent pipeline errors from degrading models.

"Data contracts are the boundary where software engineering reliability meets model input dependency."

Interactive Chapter Guide

Step through the structural roadmap of the book. Read chapter summaries, find page references, and explore key takeaways.

Part I: Foundational MLOps
Part II: Operations at Scale
Part I: Foundational MLOps Starts on Page 18

Chapter 1: The Mindset Shift

Transitioning from localized notebook research to production software systems. Introduces the 'accidental data guy' narrative, emphasizing reproducibility, data contracts, and treating models as active data products rather than static statistical projects.

Key Chapter Insights:

  • Transitioning from static 'projects' to dynamic 'data products' that evolve.
  • Analyzing the multi-stage funnel of the Netflix Recommendation Engine.
  • Structuring real-time systems like fraud detection under strict latency and volume bounds.
"Code works in isolation; production systems fail in context."

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Official catalog entry available in physical formats and NOOK devices.

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Official catalog entry available through Harvard Book Store channels.

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