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An Introduction to Data Science With Python
2024 || Paperback || Jeffrey S. Saltz e.a. || SAGE
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.
The Data Warehouse Toolkit / 3rd edition
The Definitive Guide to Dimensional Modeling
2013 || Paperback || Ralph Kimball e.a. || Wiley
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...
Database Processing: Fundamentals, Design, and Implementatio
2015 || Paperback || David Kroenke e.a. || Pearson
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.
Data Modeling Made Simple / 2nd edtion
A Practical Guide for Business & IT Professionals
2009 || Paperback || Steve Hoberman || Technics Publications LLC
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
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Datamodellering
2010 || Paperback || Ton de Rooij || Boom
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...
How to Interpret Data
Using Data to Improve Your Influence and Decision-making
2025 || Paperback || Nicholas Kelly || Kogan Page Ltd
Discover the skills and insights you need to accurately and efficiently interpret data, improving your influence and decision-making at work
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PHP 6 and MY SQL het complete Handboek
2009 || Paperback || Steve Suehring e.a. || Boom
Robuuste webontwikkeling met PHP en MySQL
Begin snel met het creƫren 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-technologieƫn en u krijgt talloze tips en technieken aangereikt die
u helpen om optimaal profi jt uit dit krachti...
Data Mining / 4th edition
Practical Machine Learning Tools and Techniques
2016 || Paperback || Ian H. Witten e.a. || Elsevier
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 ...
Fundamentals of Data Engineering
Plan and Build Robust Data Systems
2022 || Paperback || Joe Reis || O'Reilly
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to sti...
A Practical Guide to Digital Forensics Investigations / 2nd edition
2020 || Paperback || Darren R. Hayes || Pearson
THE DEFINITIVE GUIDE TO DIGITAL FORENSICS-NOW THOROUGHLY UPDATED WITH NEW TECHNIQUES, TOOLS, AND SOLUTIONS Complete, practical coverage of both technical and investigative skills Thoroughly covers modern devices, networks, and the Internet Addresses online and lab investigations, documentation, admissibility, and more Aligns closely with the NSA Knowledge Units and the NICE Cybersecurity Workforce Framework As digital crime soars, so does the need for experts who can recover and evaluate evid...