Met Inleiding databases leer je wat een database is en wat je ermee kunt doen. Wat is bijvoorbeeld het verschil met Excel? Wat kunnen we met zeer veel gegevens (Big Data) doen? Hoe werkt een database daarbij en hoe ontwerp je die? Het proces normaliseren, van informatiebehoefte naar relationeel gegevensmodel, wordt uitgebreid toegelicht in het boek en aangevuld met online instructies en praktijkoefeningen. Dit boek is primair bedoeld voor eerstejaars studenten HBO met een ICT-brede opleiding,...

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 en in kan vullen is bepalend voor de successen die behaald worden. Daarom v...

Building a Scalable Data Warehouse with Data Vault 2.0 covers everything users need to create a scalable data warehouse from scratch, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. In addition, the book presents tactics on how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 standard. Drawing upon years of practical experience and using numerous ex...

Tagline: Building globally distributed mission-critical applications

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including NoSQL datastores, stream or batch processors, and message brokers.

What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigat...

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using...

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...

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 use...

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.