---
title: "Brian Lipp Modern Data Architectures with Python"
brand: "Brian Lipp"
category: "Ukategoriseret"
price_min: 559
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/modern-data-architectures-with-python-e6e50c
last_checked: 2026-07-20
---

# Brian Lipp Modern Data Architectures with Python

Mærke: Brian Lipp · Kategori: Ukategoriseret

Sammenlign priser på Brian Lipp Modern Data Architectures with Python fra 1 forhandler. Billigste pris nu: 559 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/modern-data-architectures-with-python-e6e50c

## Priser
- **Billigste pris nu:** 559 kr hos Saxo DK

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 559 kr | — |

## Om produktet
Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features: Develop modern data skills used in emerging technologiesLearn pragmatic design methodologies such as Data Mesh and data lakehousesGain a deeper understanding of data governancePurchase of the print or Kindle book includes a free PDF eBook Book Description: Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You'll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake. Starting with the fundamentals, this book will help you build pipelines on Databricks, an open data platform, using SQL and Python. You'll gain an understanding of notebooks and applications written in Python using standard software engineering tools such as git, pre-commit, Jenkins, and Github. Next, you'll delve into streaming and batch-based data processing using Apache Spark and Confluent Kafka. As you advance, you'll learn how to deploy your resources using infrastructure as code and how to automate your workflows and code development. Since any data platform's ability to handle and work with AI and ML is a vital component, you'll also explore the basics of ML and how to work with modern MLOps tooling. Finally, you'll get hands-on experience with Apache Spark, one of the key data technologies in today's market. By the end of this book, you'll have amassed a wealth of practical and theoretical knowledge to build, manage, orchestrate, and architect your data ecosystems. What You Will Learn: Understand data patterns including delta architectureDiscover how to increase performance with Spark internalsFind out how to design critical data diagramsExplore MLOps with tools such as AutoML and MLflowGet to grips with building data products in a data meshDiscover data governance and build confidence in your dataIntroduce data visualizations and dashboards into your data practice Who this book is for: This book is for developers, analytics engineers, and managers looking to further develop a data ecosystem within their organization. While they're not prerequisites, basic knowledge of Python and prior experience with data will help you to read and follow along with the examples.

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Priserne er sidst kontrolleret 2026-07-20.