Modern Data Architectures with Python Book [PDF] Download

Download the fantastic book titled Modern Data Architectures with Python written by Brian Lipp, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Modern Data Architectures with Python", which was released on 29 September 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Modern Data Architectures with Python by Brian Lipp PDF

Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features Develop modern data skills used in emerging technologies Learn pragmatic design methodologies such as Data Mesh and data lakehouses Gain a deeper understanding of data governance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionModern 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 architecture Discover how to increase performance with Spark internals Find out how to design critical data diagrams Explore MLOps with tools such as AutoML and MLflow Get to grips with building data products in a data mesh Discover data governance and build confidence in your data Introduce data visualizations and dashboards into your data practice Who this book is forThis 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.


Detail About Modern Data Architectures with Python PDF

  • Author : Brian Lipp
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Total Pages : 318 pages
  • ISBN : 1801076413
  • PDF File Size : 11,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Modern Data Architectures with Python

Modern Data Architectures with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 37,5 Mb
  • Release Date : 29 September 2023
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Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features Develop modern data skills used in emerging technologies Learn pragmatic design methodologies such as Data

Data Management at Scale

Data Management at Scale
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 47,8 Mb
  • Release Date : 29 July 2020
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As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future,

Data Analysis with Python

Data Analysis with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 54,5 Mb
  • Release Date : 31 December 2018
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Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across

Modern Data Mining with Python

Modern Data Mining with Python
  • Publisher : BPB Publications
  • File Size : 25,6 Mb
  • Release Date : 26 February 2024
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Data miner’s survival kit for explainable, effective, and efficient algorithms enabling responsible decision-making KEY FEATURES ● Accessible, and case-based exploration of the most effective data mining techniques in Python. ● An

Scalable Big Data Architecture

Scalable Big Data Architecture
  • Publisher : Apress
  • File Size : 22,5 Mb
  • Release Date : 31 December 2015
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This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of

Modern Big Data Architectures

Modern Big Data Architectures
  • Publisher : John Wiley & Sons
  • File Size : 46,9 Mb
  • Release Date : 31 March 2020
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Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing

Deciphering Data Architectures

Deciphering Data Architectures
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 21,8 Mb
  • Release Date : 06 February 2024
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Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a

Python and R for the Modern Data Scientist

Python and R for the Modern Data Scientist
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 23,5 Mb
  • Release Date : 22 June 2021
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Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides

Data Engineering with Python

Data Engineering with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 37,7 Mb
  • Release Date : 23 October 2020
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Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key FeaturesBecome well-versed in data architectures, data preparation, and data optimization skills with