Modern Data Architectures with Python - A practical guide to building and deploying data pipelines data warehouses and data lakes with Python

Lipp Brian

Synopsis

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.

Disponible depuis: 29/09/2023.

Longueur d'impression: 318 pages.

Science et Technologie

D'autres livres qui pourraient vous intéresser

Introduction to Machine Learning...

Ben Rizer

In an era where data is generated at an unprecedented rate, organizations are faced with the challenge of not just managing vast amounts of information, but also extracting meaningful insights from it. "Introduction to Machine Learning for Big Data: Building Intelligent Systems to Transform Data into Knowledge" is a comprehensive guide designed to equip readers with the knowledge and skills necessary to harness the power of machine learning in the context of big data. 
This book takes you on a journey through the foundational concepts of machine learning, tailored specifically for large-scale data environments. Readers will explore various types of machine learning algorithms, understand their applications, and learn how to implement these techniques to uncover hidden patterns and drive informed decision-making. 
This book provides a clear roadmap for navigating the complexities of big data and machine learning. With a focus on building intelligent systems, it empowers readers to turn raw data into valuable knowledge, driving innovation and competitive advantage in their respective fields. Unlock the potential of your data today and embark on a transformative journey toward data-driven intelligence.

Voir livre

HBR's 10 Must Reads on Data...

Harvard Business Review

Your data is your business. Is it supporting your strategy? 
 
 
 
Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk—and fall behind. 
 
 
 
If you read (or listen to) nothing else on setting a data strategy in your organization, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you improve your analytic and algorithmic capabilities, navigate digital transformation, and achieve competitive advantage in our hyperconnected world. 
 
 
 
This book will inspire you to quantify the benefits of a digital transformation; discover opportunities for innovative, data-backed products and services; better understand and improve your customer experience; break down silos and share higher-quality information across your organization; identify areas susceptible to cyberattacks and data breaches; and ensure metrics aren't overshadowing strategic objectives.

Voir livre

Against Technoableism -...

Ashley Shew

When Ashley Shew became a self-described "hard-of-hearing chemobrained amputee with Crohn's disease and tinnitus," there was no returning to "normal." Suddenly well-meaning people called her an "inspiration" while grocery shopping or viewed her as a needy recipient of technological wizardry. Most disabled people don't want what the abled assume they want—nor are they generally asked. 
 
 
 
In vibrant prose, Shew shows how we can create better narratives and more accessible futures by drawing from the insights of the cross-disability community. To forge a more equitable world, Shew argues that we must eliminate "technoableism"—the harmful belief that technology is a "solution" for disability; that the disabled simply await being "fixed" by technological wizardry; that making society more accessible and equitable is somehow a lesser priority. 
 
 
 
This badly needed introduction to disability expertise considers mobility devices, medical infrastructure, neurodivergence, and the relationship between disability and race. The future, Shew points out, is surely disabled—whether through changing climate, new diseases, or even through space travel. It's time we looked closely at how we all think about disability technologies and learn to envision disabilities not as liabilities, but as skill sets enabling all of us to navigate a challenging world.

Voir livre

Distributed Ledger Technology -...

Richard Carrey

Embark on a journey through the decentralized frontier with "Distributed Ledger Technology" This comprehensive guide unravels the intricacies of Distributed Ledger Technology (DLT), offering a deep dive into the revolutionary world of blockchain and its transformative impact on diverse industries.
Starting with the foundations of DLT, the book demystifies complex concepts such as blockchain, hash functions, and cryptography, providing readers with a solid understanding of the technological underpinnings. Explore the evolution of consensus mechanisms, from traditional Proof of Work to innovative approaches like Proof of Stake, and understand the significance of smart contracts in reshaping digital landscapes.
Delve into real-world applications as the book navigates through the finance sector, showcasing the rise of cryptocurrencies, digital assets, and the disruptive force of decentralized finance (DeFi). Beyond finance, witness how DLT is reshaping healthcare, supply chain management, real estate, and even voting systems, ushering in an era of transparency, security, and efficiency.
However, the journey isn't without challenges. Uncover the scalability issues, security concerns, and the evolving regulatory landscape that accompany the rise of decentralized systems. From the environmental impact to privacy considerations, the book addresses the ethical dimensions of DLT, ensuring a balanced exploration of its potential risks and rewards.
"Distributed Ledger Technology" is not just a book; it's a roadmap to the future, inviting readers to join the decentralized movement and navigate the ever-expanding horizons of Distributed Ledger Technology. Whether you're a tech enthusiast, business leader, or simply curious about the next wave of innovation, this book is your gateway to understanding and participating in the decentralized revolution.

Voir livre

10000 Words an Hour - How to Use...

Jason Hamilton

The Revolutionary Guide to Supercharging Your Fiction Writing with AI (Not Just ChatGPT) 
Unlock the secrets to writing captivating fiction at lightning speed - without burning out. 
In this groundbreaking step-by-step guide, I'll reveal how to: 
✔ Craft the perfect AI prompt to unleash your creativity - in seconds. 
✔ Transform a tiny spark of an idea into a fully-fleshed novel using the "Fractal Technique." 
✔ Create deeply complex characters and immersive worlds faster than ever before. 
✔ Overcome writer's block and skyrocket your daily word count - while reducing mental fatigue. 
✔ Discover the truth about the limiting beliefs that authors have about AI 
We're living in a new era of storytelling, where AI tools like ChatGPT are revolutionizing the writing process. Now, any writer - including YOU - can harness this technology to produce high-quality fiction without the same creative drain. Most authors haven't yet tapped into this potential - which is where you can gain a massive advantage in today's competitive market. 
This book is packed with practical examples, prompts, and techniques you can implement immediately to transform your writing process! 
Don't let outdated writing methods hold you back. Embrace the future of fiction writing today!

Voir livre

Python Programming for Kids:...

Lily Anderson

Welcome to the exciting world of Python programming! "Python Programming for Kids: Getting Started - Fun and Easy Guide to Building Your First Programs" is your gateway to learning how to code in one of the most popular and beginner-friendly programming languages. This book is designed specifically for kids, offering clear explanations, engaging examples, and fun projects that make learning to code a joyful adventure. 
Inside, you'll discover the basics of Python, from understanding variables, loops, and functions to exploring more advanced topics like file handling, debugging, and object-oriented programming. Each chapter builds on the previous one, helping you develop your skills step-by-step while keeping you entertained with exciting and relatable examples. 
You'll get hands-on experience by building simple projects like games, calculators, and interactive applications. You'll learn valuable troubleshooting and debugging techniques along the way, ensuring you can confidently solve problems and improve your programs. 
Whether you're entirely new to programming or looking to expand your knowledge, this book will guide you through the process with ease and enjoyment. Get ready to unleash your creativity and become a Python programmer with "Python Programming for Kids: Getting Started - Fun and Easy Guide to Building Your First Programs." Happy coding!

Voir livre