Building Scalable Database Applications

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Building Scalable Database Applications

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Author : Peter Marc Heinckiens
language : en
Publisher: Addison-Wesley Professional
Release Date : 1998

Building Scalable Database Applications written by Peter Marc Heinckiens and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

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

Designing Data Intensive Applications

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Author : Martin Kleppmann
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-03-16

Designing Data Intensive Applications written by Martin Kleppmann and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Computers categories.

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 relational databases, 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 navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Developing Modern Database Applications With Postgresql

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Author : Dr. Quan Ha Le
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-13

Developing Modern Database Applications With Postgresql written by Dr. Quan Ha Le and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-13 with Computers categories.

Get up to speed with core PostgreSQL tasks such as database administration, application development, database performance monitoring, and database testing Key FeaturesBuild real-world enterprise database management systems using Postgres 12 featuresExplore the development, administrative and security aspects of PostgreSQL 12Implement best practices from industry experts to build powerful database applicationsBook Description PostgreSQL is an open-source object-relational database management system (DBMS) that provides enterprise-level services, including high performance and scalability. This book is a collection of unique projects providing you with a wealth of information relating to administering, monitoring, and testing PostgreSQL. The focus of each project is on both the development and the administrative aspects of PostgreSQL. Starting by exploring development aspects such as database design and its implementation, you'll then cover PostgreSQL administration by understanding PostgreSQL architecture, PostgreSQL performance, and high-availability clusters. Various PostgreSQL projects are explained through current technologies such as DevOps and cloud platforms using programming languages like Python and Node.js. Later, you'll get to grips with the well-known database API tool, PostgREST, before learning how to use popular PostgreSQL database testing frameworks. The book is also packed with essential tips and tricks and common patterns for working seamlessly in a production environment. All the chapters will be explained with the help of a real-world case study on a small banking application for managing ATM locations in a city. By the end of this DBMS book, you'll be proficient in building reliable database solutions as per your organization's needs. What you will learnSet up high availability PostgreSQL database clusters in the same containment, a cross-containment, and on the cloudMonitor the performance of a PostgreSQL databaseCreate automated unit tests and implement test-driven development for a PostgreSQL databaseDevelop PostgreSQL apps on cloud platforms using DevOps with Python and Node.jsWrite robust APIs for PostgreSQL databases using Python programming, Node.js, and PostgRESTCreate a geospatial database using PostGIS and PostgreSQLImplement automatic configuration by Ansible and Terraform for PostgresWho this book is for This PostgreSQL book is for database developers, database administrators, data architects, or anyone who wants to build end-to-end database projects using Postgres. This book will also appeal to software engineers, IT technicians, computer science researchers, and university students who are interested in database development and administration. Some familiarity with PostgreSQL and Linux is required to grasp the concepts covered in the book effectively.

Building Scalable And High Performance Java Web Applications Using J2ee Technology

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Author : Greg Barish
language : en
Publisher: Addison-Wesley Professional
Release Date : 2002

Building Scalable And High Performance Java Web Applications Using J2ee Technology written by Greg Barish and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.

Scaling Java enterprise applications beyond just programming techniques--this is the next level. This volume covers all the technologies Java developers need to build scalable, high-performance Web applications. The book also covers servlet-based session management, EJB application logic, database design and integration, and more.

Building Highly Scalable Database Applications With Net

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Author : Wallace B. McClure
language : en
Publisher: John Wiley & Sons
Release Date : 2002-06-25

Building Highly Scalable Database Applications With Net written by Wallace B. McClure and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-25 with Computers categories.

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

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Author : Chandani Kaul
language : en
Publisher: Educohack Press
Release Date : 2025-01-03

Building Scalable Data Intensive Applications written by Chandani Kaul and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

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.

Analysis Patterns

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Author : Martin Fowler
language : en
Publisher: Addison-Wesley Professional
Release Date : 1997

Analysis Patterns written by Martin Fowler and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.

Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.

Building A Scalable Data Warehouse With Data Vault 2 0

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Author : Daniel Linstedt
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-09-15

Building A Scalable Data Warehouse With Data Vault 2 0 written by Daniel Linstedt and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-15 with Computers categories.

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: - How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. - Important data warehouse technologies and practices. - Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. - Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast - Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse - Demystifies data vault modeling with beginning, intermediate, and advanced techniques - Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0

Building Scalable Web Sites

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Author : Cal Henderson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2006-05-16

Building Scalable Web Sites written by Cal Henderson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-16 with Computers categories.

Building, scaling, and optimizing the next generation of Web applications.