WOW! eBook

Category: Databases & Big Data

Learn Microsoft Fabric 0

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data

Learn Microsoft Fabric

eBook Details: Paperback: 338 pages Publisher: WOW! eBook (February 29, 2024) Language: English ISBN-10: 1835082289 ISBN-13: 978-1835082287 eBook Description: Learn Microsoft Fabric: Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructions Discover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. In this book, you’ll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse,...

Web Scraping with Python: Data Extraction from the Modern Web, 3rd Edition 0

Databases & Big Data / Programming / Web Development & Design

Web Scraping with Python, 3rd Edition

eBook Details: Paperback: 300 pages Publisher: WOW! eBook; 3rd edition (March 26, 2024) Language: English ISBN-10: 1098145356 ISBN-13: 978-1098145354 eBook Description: Web Scraping with Python: Data Extraction from the Modern Web, 3rd Edition If programming is magic, then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. This thoroughly updated Web Scraping with Python, 3rd Edition not only introduces you to web scraping but also serves as a comprehensive guide to scraping almost every type of data from the modern...

Effective Machine Learning Teams: Best Practices for ML Practitioners 0

Computer Science & Computer Engineering / Databases & Big Data / Software Development

Effective Machine Learning Teams

eBook Details: Paperback: 300 pages Publisher: WOW! eBook (April 16, 2024) Language: English ISBN-10: 1098144635 ISBN-13: 978-1098144630 eBook Description: Effective Machine Learning Teams: Best Practices for ML Practitioners Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten...

Hands-On Entity Resolution: A Practical Guide to Data Matching with Python 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

Hands-On Entity Resolution

eBook Details: Paperback: 181 pages Publisher: WOW! eBook (March 12, 2024) Language: English ISBN-10: 1098148487 ISBN-13: 978-1098148485 eBook Description: Hands-On Entity Resolution: A Practical Guide to Data Matching with Python Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this Hands-On Entity Resolution guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud APIs. Author Michael Shearer shows you how to scale up your data matching processes and improve...

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh 0

Databases & Big Data

Deciphering Data Architectures

eBook Details: Paperback: 250 pages Publisher: WOW! eBook (March 12, 2024) Language: English ISBN-10: 1098150767 ISBN-13: 978-1098150761 eBook Description: Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh 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 Deciphering Data Architectures book provides a guided tour of each architecture to help data professionals understand its pros and cons. By reading this Deciphering Data Architectures: Choosing Between a Modern...