Modern Data Architectures With Python
Download Modern Data Architectures With Python PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modern Data Architectures With Python book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Modern Data Architectures with Python
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.
Redis Mastery: Advanced Techniques for Scalable Data Architecture
Unleash the full potential of your data with "Redis Mastery: Advanced Techniques for Scalable Data Architecture," the ultimate guide to mastering Redis—an essential in-memory database that amplifies application performance. This comprehensive tome takes you beyond the basics, delving into sophisticated techniques that propel your data architecture to new heights. Explore the intricacies of Redis's robust data structures, secure and fine-tune your deployment, and tackle advanced challenges like seamless scaling and ensuring high availability. Discover diverse applications from powering real-time analytics to managing complex message queues. Whether you're a developer seeking to optimize application efficiency, a system administrator focused on resilient data stores, or a tech enthusiast eager to master cutting-edge database solutions, this book is your indispensable resource. With lucid explanations, practical demonstrations, and seasoned advice, "Redis Mastery" equips you to harness Redis's full capabilities. Revolutionize your data handling with advanced techniques that augment durability and enable effortless scalability. Elevate your data strategy and build high-performance, future-ready applications with "Redis Mastery: Advanced Techniques for Scalable Data Architecture." Redis is your gateway to crafting applications that excel under pressure and adapt seamlessly to ever-evolving demands. Secure your copy today and embark on your journey to becoming a Redis virtuoso!
Deciphering Data Architectures
Author: James Serra
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2024-02-06
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 lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: Gain a working understanding of several data architectures Learn the strengths and weaknesses of each approach Distinguish data architecture theory from reality Pick the best architecture for your use case Understand the differences between data warehouses and data lakes Learn common data architecture concepts to help you build better solutions Explore the historical evolution and characteristics of data architectures Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come.