Data Science

Build business intelligence with insight from a professional Microsoft Power Platform for Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more...

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data....

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...

To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery....

Brought to you by Penguin. THE SUNDAY TIMES BESTSELLER AND A FINANCIAL TIMES, SUNDAY TIMES AND TELEGRAPH BOOK OF THE YEAR 2024 The insider account of the data revolution that has swept through the modern football world written by one of its key architects, Ian Graham. Between 2012 and 2023, Ian...

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...

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....

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....

You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons....

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm....

As any Leeds United fan will tell you, following the Whites is certainly never boring. Almost as famous for their periods of chaos as for their moments of glory, over the years supporters have been left exhilarated and exasperated in equal measure - whilst remaining one of the most passionate...

This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more.

While the world is transfixed by bitcoin mania, your competitors are tuning out the noise and making strategic bets on blockchain. Your rivals are effortlessly tracking every last link in their supply chains....

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms.

The discipline of infonomics takes you beyond thinking and talking about information as an asset to actually valuing and treating it as one....

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.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the...

Using data to guide decision making builds stronger, more adaptable organisations that can thrive in a rapidly changing world. Embedding...

Are you looking for an exciting and dynamic career in the tech industry? Look no further than data centers! Data centers are the backbone of the digital age. And now, with Jumpstart Your Career in Data Centers by Carrie Goetz, you can kickstart your career in this exciting field....

Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilize it effectively. This book fills the knowledge gap by showing how major companies are using big data every day.

Data analysis is a skill that becomes essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains what you need to know to start using it for data analysis.

Did you know that ChatGPT already boasts a community of over 100 million users? That's 100 million opportunities to make a splash in a still-young market.

Written for professionals, students, technologists, and all curious minds, this book demystifies complex AI concepts while offering actionable strategies for navigating rapid AI advancements.

A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy. Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery...