Data Structure Synthesis: Boosting Productivity Through Data Structure Reuse

Needham, Doug

ISBN 10: 1634625749 / ISBN 13: 9781634625746

Published by Technics Publications, 2024

About this Item

Seller Inventory # 48541018-n

Bibliographic Details

• Title: Data Structure Synthesis: Boosting Productivity Through Data Structure Reuse
• Publisher: Technics Publications
• Publication Date: 2024
• Language: English
• ISBN 10: 1634625749
• ISBN 13: 9781634625746
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Know the math that underpins everything we do in data.

With storytelling and lots of examples, Doug “The Data Guy” Needham explains the math that creates the foundation for efficient databases, flexible data interchange formats, and robust applications. Data modeling, SQL, and relational database design are covered in detail using global standards as well as many examples in Snowflake. Also covered are dimensional modeling, JSON, XML, data vault, and graph databases.

The math you will learn and be able to apply includes set theory, logic (implicational, conditional, prepositional, and first order predicate), functions, relational algebra and calculus, graph theory, and combinatorics.

There is foundational knowledge required to excel in any discipline. Accountants must know double-entry bookkeeping, doctors must know basic human anatomy, car mechanics must know engine mechanics, and data professionals must know the math behind their profession. This book provides the fundamental knowledge needed to appreciate and excel in data management.

You do not need to be a mathematician (or even like math!) to master the formulas and techniques within these pages that will prepare you for building robust data structures and queries within Agile timeframes.

About the Author

Doug "The Data Guy" Needham started his career as a Marine Database Administrator supporting operational systems that spanned the globe in support of the Marine Corps missions. Since then, Doug has worked as a consultant, data engineer, and data architect for enterprises of all sizes. He is currently working as a Data Scientist, tinkering with Graphs and Enrichment Platforms while showing others how to get more meaning from data. He always focuses on the Data Operations side of ensuring data moves throughout the Enterprise in the most efficient manner.