Data Science Architecture

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.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

Yes, it's true that the devil can be in the details What are the best characteristics of an excellent data scientist or statistician? If you thought about mathematical knowledge or mastery of data tools, you are totally mistaken! Those who are receiving salaries of up to thousands of dolars per day of work have something in common: they are humble and know that they are never sure, but they persistently know how to “create” bridges between information repositories or even departments of people. This same data scientist will have to break boundaries between departmental areas that do not...

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior. The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish ...

This book was written for anyone who wants to learn more about this technology. Whether you're an engineer or developer working with a data mesh, someone who's just curious about how they work, or an entrepreneur looking at ways to improve your company's efficiency or productivity—this book will help you understand what these technologies are all about!

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes.

Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP.

"The Comprehensive Guide to Computer and Data Science" is an essential resource for anyone looking to deepen their understanding of the digital technologies that power our world. Crafted to bridge the gap between theoretical knowledge and practical application, this guide covers a wide array of topics essential to both fields, making it a valuable asset for students, professionals, and enthusiasts alike. From the fundamentals of programming languages to the intricate details of machine learning algorithms, this book provides readers with a clear and systematic approach to learning. Each ...

Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionary field could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. In this guidebook, you will discover more about data science and how to get started in this field.

What is Psychiatry and How Can We Improve It? In the last hundred years, most of the medical sciences have progressed in immense and unforeseeable ways―except for psychiatry, which has somehow remained immune to this progress. Daniel Barron, a psychiatrist who trained at the Yale School of...