
Data Structure Synthesis
Boosting Productivity Through Data Structure Reuse
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to Cart failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Please try again
Unfollow podcast failed
Please try again
$0.00 for first 30 days
LIMITED TIME OFFER
$0.99/mo for the first 3 months
Offer ends April 30, 2025 at 11:59PM PT.

Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 3 months. Cancel anytime.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.
Buy for $14.99
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
-
Narrated by:
-
Virtual Voice
-
By:
-
Doug Needham

This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
About this listen
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.
adbl_web_global_use_to_activate_webcro768_stickypopup