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Big Data Analytics
A Practical Guide for Managers
2015 || Hardcover || Kim H. Pries e.a. || Taylor & Francis
With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of bi...
Building a Scalable Data Warehouse
2021 || Paperback || Daniel Linstedt e.a. || Elsevier
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...
Microsoft Azure Cosmos DB Revealed
A Multi-Model Database Designed for the Cloud
2022 || Paperback || Jose Rolando Guay Paz || Springer Nature B.V.
Tagline: Building globally distributed mission-critical applications
Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
2018 || Paperback || Martin Kleppmann || O'Reilly
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...
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If Then
How One Data Company Invented the Future
2024 || Paperback || Jill Lepore || John Murray Press
A brilliant, revelatory account of the Cold War origins of the data-mad, algorithmic twenty-first century, from the acclaimed and internationally bestselling author.
Introduction to Data Science / 1st Edition
A Python Approach to Concepts, Techniques and Applications
2023 || Paperback || Laura Igual e.a. || Springer Int. Publishing AG
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...
Seven Databases in Seven Weeks 2e
A Guide to Modern Databases and the NoSQL Movement
2018 || Paperback || Luc Perkins e.a. || Pragmatic Bookshelf
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...
ISE Database System Concepts / 7th edition
2019 || Paperback || Abraham Silberschatz e.a. || McGraw-Hill
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...
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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.
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