Showing titles in Data Science

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Excel skills alone are no longer enough. In 2025, the real advantage comes from knowing how to combine Excel with AI. ChatGPT for Excel Beginners shows you how to use ChatGPT as your personal spreadsheet assistant — helping you write formulas, clean messy data, automate tasks, and make better decisions without being an Excel expert.

Artificial intelligence is not just a software revolution. It is an energy revolution. Every ChatGPT prompt, every AI-generated image, every automated decision is powered by something we rarely think about: electricity at massive scale. And the truth is startling: The future of AI may not be limited by algorithms… but by how much power we can generate, store, and deliver. In The Electric Hunger of AI, you’ll uncover the hidden industrial backbone behind the world’s most powerful technology. From hyperscale data centers stretching across deserts to the fragile power grids struggling to...

“One of my favorite books of the year. It completely reshaped how I think about information and how and why I take notes.” —Daniel Pink, bestselling author of Drive A revolutionary approach to enhancing productivity, creating flow, and vastly increasing your ability to capture, remember...

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. Investing for Programmers shows you how you can turn your existing skills as a programmer into a knack for making sharper investment choices.

Every day, there are more than a few billion questions asked on the internet. Some of them are just about business, while others are more personal. Some are simple, while others are tough. All of these queries go to the same place, which is a search engine. With only a few clicks of the mouse, you may get a lot of information. Everything looks great, and it appears to be set up to match your needs.

海外のトップ頭脳も予測した！　最新テクノロジーによる2030年の世界　テクノロジーはどこまで進化するのか？人間は駆逐される？AIって結局、わたしたちにどんな影響を与えるの？

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited...

This comprehensive guide to Microsoft Azure Data Engineering is designed to elevate your skills in data analytics, pipeline development, and Azure cloud solutions. Dive deep into essential concepts like data integration, ETL, SQL, Data Lakes, storage management, Data Governance, Data Strategy and big data architecture. This eBook is a Number #1 Best Seller in the following categories: #1 Data Warehousing #1 Computer Engineering #1 SQL Programming In today's job market, skilled Azure Data Engineers are rare, and their compensation reflects that rarity. They enjoy substantial salaries and the...

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.

Blockchain is the technology behind Bitcoin, the revolutionary "virtual currency" that's changing the way people do business. While Bitcoin has enjoyed some well-deserved hype, Blockchain may be Bitcoin's most vital legacy. Blockchain for Dummies is the ideal starting place for business pros looking to gain a better understanding of what Blockchain is, how it can improve the integrity of their data, and how it can work to fundamentally change their business and enhance their data security.

Power BI for Beginners: Learn to Clean, Transform, and Visualize Your Data Unlock the full potential of your data—even if you’ve never used Power BI before. This beginner-friendly guide walks you step by step through everything you need to start building professional dashboards and reports. No fluff, no overwhelming jargon—just clear instructions, practical examples, and hands-on exercises that help you actually learn by doing. Inside, you’ll discover: How to import and clean messy data with Power Query The essentials of data modeling (made simple for beginners) When and how to use ...

A FINANCIAL TIMES BOOK OF THE WEEK 'Illuminating' Eddie Jones 'Compelling' Metro 'Essential reading... reveals rugby's secrets' Financial Times 'Well written, insightful and thought-provoking' The Guardian 'Fantastic, a must-read for rugby fans' Ben Youngs ______________________________ Does it...

What leads to political turbulence and social breakdown? How do elites maintain their dominant position? And why do ruling classes sometimes suddenly lose their grip on power? For decades, complexity scientist Peter Turchin has been studying world history like no one else. Assembling vast databases mined from 10,000 years of human activity, and then developing new models, he has transformed the way we learn from the past. End Times is the result: a ground-breaking account of how society works.

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.

Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you'll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment.