Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure …
This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the …
In this day and information age, it is all about those who are able to utilize the information they have …
I am a proud owner of Visio for Enterprise Architects, the only case tool I own, and I've have also …
Today, online technologies are at the core of most fields of engineering and society as a whole . This book …
Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems …
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice …
Create and publish your own interactive data visualization projects on the Web—even if you have little or no experience with …
Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and …
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to …
Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning …
Researchers in many branches of science are increasingly coming into contact with Bayesian statistics or Bayesian probability theory. This book …
As other have stated, this is a compilation of articles written by Dr. Kimball et al spanning from the late …
Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how …
This Festschrift volume, published in honor of John Mylopoulos on the occasion of his retirement from the University of Toronto, …
This book describes some basic principles that allow developers of computer programs (computer scientists, software engineers, programmers) to clearly think …
With social media producing such huge amounts of data, the importance of gathering this rich data, often called "the digital …
As the second volume of the "Digital Oil & Gas Pipeline: Research and Practice" series of monographs, this book introduces …
Praise for the First Edition"This...novel and highly stimulating book, which emphasizes solving real problems...should be widely read. It will have …
This book presents how Building Information Modeling (BIM) and the use of shared representation of built assets facilitate design, construction …
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of …
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data …
Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in …
Some web sites ''work'' and some don't. This book shows how to use both aesthetics and mechanics to design distinctive, …
Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases …
Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is …
The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern …
You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read …
Drawing from the authors’ own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: …
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. …
