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 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...

Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems...

Discover the skills and insights you need to accurately and efficiently interpret data, improving your influence and decision-making at work

Robuuste webontwikkeling met PHP en MySQL

Begin snel met het creëren van dynamische webapplicaties met PHP en

MySQL. Deze uitgebreide handleiding laat precies zien hoe u gebruik

moet maken van dit geavanceerde open source-scriptinggereedschap

en deze vooraanstaande open source-database. U leert PHP6 en MySQL

door en door kennen, u verkent de ups en downs van het gebruik van open

source-technologieën en u krijgt talloze tips en technieken aangereikt die

u helpen om optimaal profi jt uit dit krachti...

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at ...