---
title: "Valliappa Lakshmanan, Firat Tekiner og Marco Tranquillin Architecting Data and Machine Learning Platforms"
ean: "9781098151614"
brand: "Valliappa Lakshmanan, Firat Tekiner og Marco Tranquillin"
category: "Medier > Bøger > Trykte bøger"
price_min: 584
price_max: 584
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781098151614/architecting-data-and-machine-learning-platforms
last_checked: 2026-10-14
---

# Valliappa Lakshmanan, Firat Tekiner og Marco Tranquillin Architecting Data and Machine Learning Platforms

EAN 9781098151614 · Mærke: Valliappa Lakshmanan, Firat Tekiner og Marco Tranquillin · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Valliappa Lakshmanan, Firat Tekiner og Marco Tranquillin Architecting Data and Machine Learning Platforms fra 1 forhandler. Billigste pris nu: 584 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781098151614/architecting-data-and-machine-learning-platforms

## Priser
- **Billigste pris nu:** 584 kr hos Saxo DK
- **Prisspænd:** 584 kr – 584 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 584 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. This book shows you how to: Design a modern cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a data platform Democratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Move from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platform Make your organization more effective in working with data analytics and machine learning in a cloud environment

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Priserne er sidst kontrolleret 2026-10-14.