This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter.

Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from traditional relational datab...

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Database System Concepts by Silberschatz, Korth and Sudarshan is now in its 7th edition and is one of the cornerstone texts of database education. It presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. The text is designed for a first course in databases at the junior/senior undergraduate level or the first year graduate level.

It also contains additional material that can be us...

For courses in Cryptography, Computer Security, and Network Security.

Keep pace with the fast-moving field of cryptography and network security

Stallings' Cryptography and Network Security: Principles and Practice introduces students to the compelling and evolving field of cryptography and network security. In an age of viruses and hackers, electronic eavesdropping, and electronic fraud on a global scale, security is paramount. The purpose of this book is to provide a practical survey of bot...

Een boek dat niet mag ontbreken als je te maken hebt met data-architectuur. Het biedt een zeer volledige behandeling van dit onderwerp en is daarmee bij uitstek geschikt voor de data-architect zelf. Toch is het zo boeiend geschreven dat ook de omgeving van de architect er veel informatie uit kan halen. Bijvoorbeeld aan de hand van de behandeling van een aantal cases.

De manier waarop een data-architect zijn rol invult is bepalend voor de successen die behaald worden bij data gedreven werken. ...

For those new to Python and data science, this text guides readers through the tools and techniques used to analyze data and generate predictive models. This book starts with the basics, includes practice questions to check understanding, and delves into advanced topics like neural networks and deep learning, all with clarity and a touch of humor.

For undergraduate database management courses. Get Students Straight to the Point of Database ProcessingDatabase Processing: Fundamentals, Design, and Implementation reflects a new teaching and professional workplace environment and method that gets students straight to the point with its thorough and modern presentation of database processing fundamentals. The Fourteenth Edition has been thoroughly updated to reflect the latest software.

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensi...

Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives:

Know when a data model is needed and which type of data model is most effective for each situation

Read a data model of any size and complexity with the same confidence as reading a book

Een datamodel geeft in modelvorm weer welke soorten informatie nodig zijn bij het uitvoeren van een bedrijfsproces.

Daarmee is een datamodel een belangrijk en nuttig hulpmiddel bij onder andere het ontwerpen van een database, het opstellen van functionele eisen voor standaardsoftware, het opzetten van een data warehouse, het maken van testsets, het beoordelen van administratieve organisatie, het uitwerken van autorisatie,

en het beheren van informatiesystemen.

Voor het opstellen van een datamode...