Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses

    Posted By: yoyoloit
    Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses

    Modern Data Architectures with Python
    by Lipp, Brian;

    English | 2023 | ISBN: 1801070490 | 318 pages | True PDF | 13.96 MB




    Learn to build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka.
    Key Features

    Develop modern data skills in emerging technologies
    Learn pragmatic design methodologies like Data Mesh and Lake House
    Grow a deeper understanding of data governance

    Book Description

    Data Architecture with Python will teach you how to integrate your machine learning and data science work streams into your data platform. You will also learn how to take your data and build open lakehouses that can combine with any technology. This book will give you deep hands-on experience with tools like Kafka, Apache Spark, MongoDB, Neo4J, Delta Lake MLFlow, and SQL Dashboards.

    By the end of this journey, you would have amassed a wealth of hands-on and theoretical knowledge to architect your own data ecosystems.
    What you will learn

    Understand data pattern patterns such as Delta Architecture
    Learn key details in Spark Internals and how to increase performance
    Discover how to design critical Data diagrams
    Explore MLOps with tools like AutoML and MLflow
    Learn to build data products in a data mesh
    Discover data governance and how to build confidence in your data
    Learn how to introduce Data Visualizations and Dashboards into your data practice

    Who This Book Is For

    This book is great for developers, analytics engineers, and managers looking to further develop a data ecosystem within their organization. Basic Python will be useful but not required, Also, experience with data is useful but not necessary to read and do the labs.
    Table of Contents

    Modern Data Processing Architectures
    Basics of Data Analytics Engineering
    Cloud Storage and Processing Concepts
    Python Batch and Stream Processing with Spark
    Streaming Data with Kafka
    Python MLOps
    Python and SQL based Visualizations
    Integrating CI into your workflow
    Data Orchestration
    Data Governance
    Introduction to Saturn Insurance, Deploying CI and ELT
    Data Governance and Dashboards



    For more quality books vist My Blog.
    Need access to contents that can only be read online or any other thing?, just send me a PM.