Building Scalable Database Applications
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Building Scalable Database Applications
Author: Peter Marc Heinckiens
language: en
Publisher: Addison-Wesley Professional
Release Date: 1998
A guide to building business and database client/server applications with reusable components, for software engineers and programmers. Business and database models illustrate challenges in manipulating object storage and retrieval from a developer's point of view, emphasizing integration of legacy and relational systems with object- oriented systems. Coverage includes Scoop architecture, designing reusable business components, modeling and implementing associations, and separating the user interface from the business model. Annotation copyrighted by Book News, Inc., Portland, OR
Building Highly Scalable Database Applications with .NET
Author: Wallace B. McClure
language: en
Publisher: John Wiley & Sons
Release Date: 2002-06-25
This is the only book on the market to focus on addressing issues of building highly scalable database applications with .NET technologies. Comprehensive coverage includes building .NET applications for all the major RDBMSs: SQL Server, Oracle, DB2, and MySQL.
Building Scalable Data-Intensive Applications
Building Scalable Data-Intensive Applications explores the vast landscape of digital data from social networks, blogs, business, science, and engineering. This book delves into data-intensive computing, which is essential for understanding and processing massive amounts of data. Utilizing the latest software, algorithms, and hardware, data-intensive applications deliver timely and meaningful insights, addressing the challenges posed by exponentially growing data complexity. We provide a comprehensive reference for computing professionals and researchers, covering the field's scope, key challenges, and state-of-the-art approaches required for future data-intensive problems. Our chapters include general principles and methods for designing and managing systems that analyze vast datasets, particularly those stored in the cloud. Additionally, we explore practical applications in cybersecurity and bioinformatics to illustrate these principles in action. Building Scalable Data-Intensive Applications is an invaluable resource for anyone looking to navigate and harness the power of data-intensive computing.