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Database Life Cycle

Database Life Cycle
Author: Open University. Relational Databases: Theory and Practice Course Team
Publisher:
Total Pages: 0
Release: 2007-04
Genre: Database design
ISBN: 9780749215767

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This block is concerned with the database lifecycle, which describes the stages a database goes through, from the time the need for a database is established until it is withdrawn from use. This block applies the practice developed in Block 3 to systematically develop, implement and maintain a database design that supports the information requirements of an enterprise. It presents a simple framework for database development and maintenance.This is a very practical block and will require you to write and execute SQL statements for which you will need access to a computer installed with the course software (order code M359/CDR01) and database cards Scenarios and Hospital conceptual data model (order code M359/DBCARDS)


Database Systems

Database Systems
Author: S. K. Singh
Publisher: Pearson Education India
Total Pages: 954
Release: 2011
Genre: Database design
ISBN: 9788131760925

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The second edition of this bestselling title is a perfect blend of theoretical knowledge and practical application. It progresses gradually from basic to advance concepts in database management systems, with numerous solved exercises to make learning easier and interesting. New to this edition are discussions on more commercial database management systems.


The database development life cycle

The database development life cycle
Author: The Open University
Publisher: The Open University
Total Pages: 41
Release: 2011-07-15
Genre: Computers
ISBN:

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This 12-hour free course explained the importance of data analysis and showed how database development differs from traditional software development.


Data Integration Life Cycle Management with SSIS

Data Integration Life Cycle Management with SSIS
Author: Andy Leonard
Publisher: Apress
Total Pages: 189
Release: 2017-11-17
Genre: Computers
ISBN: 1484232763

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Build a custom BimlExpress framework that generates dozens of SQL Server Integration Services (SSIS) packages in minutes. Use this framework to execute related SSIS packages in a single command. You will learn to configure SSIS catalog projects, manage catalog deployments, and monitor SSIS catalog execution and history. Data Integration Life Cycle Management with SSIS shows you how to bring DevOps benefits to SSIS integration projects. Practices in this book enable faster time to market, higher quality of code, and repeatable automation. Code will be created that is easier to support and maintain. The book teaches you how to more effectively manage SSIS in the enterprise environment by drawing on the art and science of modern DevOps practices. What You'll Learn Generate dozens of SSIS packages in minutes to speed your integration projects Reduce the execution of related groups of SSIS packages to a single command Successfully handle SSIS catalog deployments and their projects Monitor the execution and history of SSIS catalog projects Manage your enterprise data integration life cycle through automated tools and utilities Who This Book Is For Database professionals working with SQL Server Integration Services in enterprise environments. The book is especially useful to those readers following, or wishing to follow, DevOps practices in their use of SSIS.


Data Governance: The Definitive Guide

Data Governance: The Definitive Guide
Author: Evren Eryurek
Publisher: "O'Reilly Media, Inc."
Total Pages: 254
Release: 2021-03-08
Genre: Business & Economics
ISBN: 1492063460

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As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.


Database Development Process

Database Development Process
Author: The Open The Open Courses Library
Publisher:
Total Pages: 29
Release: 2019-12-12
Genre:
ISBN: 9781674790633

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Database Development Process A core aspect of software engineering is the subdivision of the development process into a series of phases, or steps, each of which focuses on one aspect of the development. The collection of these steps is sometimes referred to as the software development life cycle (SDLC). The software product moves through this life cycle (sometimes repeatedly as it is refined or redeveloped) until it is finally retired from use. Ideally, each phase in the life cycle can be checked for correctness before moving on to the next phase. Chapter Outline: Software Development Life Cycle - Waterfall Database Life Cycle Requirements Gathering Analysis Logical Design Implementation Realizing the Design Populating the Database Guidelines for Developing an ER Diagram The Open Courses Library introduces you to the best Open Source Courses.


The Data Warehouse Lifecycle Toolkit

The Data Warehouse Lifecycle Toolkit
Author: Ralph Kimball
Publisher: John Wiley & Sons
Total Pages: 674
Release: 2011-03-08
Genre: Computers
ISBN: 1118079566

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A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.


Data Protection and Information Lifecycle Management

Data Protection and Information Lifecycle Management
Author: Thomas D. Petrocelli
Publisher: Prentice Hall
Total Pages: 300
Release: 2006
Genre: Computers
ISBN:

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This book introduces Information Lifecycle Management (ILM), a powerful new strategy for managing enterprise information based on its value over time. The author explains emerging techniques for protecting storage systems and storage networks, and for integrating storage security into your overall security plan. He also presents new technical advances and opportunities to improve existing data-protection processes, including backup/restore, replication, and remote copy.


Database Management and Design

Database Management and Design
Author: Gary William Hansen
Publisher:
Total Pages: 616
Release: 1996
Genre: Business & Economics
ISBN:

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An updated, introductory management book which discusses object oriented data modeling and client server platforms. KEY FEATURES: It explores management and design within the context of the database development life cycle.


Life Cycle Inventory Analysis

Life Cycle Inventory Analysis
Author: Andreas Ciroth
Publisher: Springer
Total Pages: 0
Release: 2022-09-01
Genre: Science
ISBN: 9783030622725

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Life Cycle Inventory (LCI) Analysis is the second phase in the Life Cycle Assessment (LCA) framework. Since the first attempts to formalize life cycle assessment in the early 1970, life cycle inventory analysis has been a central part. Chapter 1 “Introduction to Life Cycle Inventory Analysis“ discusses the history of inventory analysis from the 1970s through SETAC and the ISO standard. In Chapter 2 “Principles of Life Cycle Inventory Modeling”, the general principles of setting up an LCI model and LCI analysis are described by introducing the core LCI model and extensions that allow addressing reality better. Chapter 3 “Development of Unit Process Datasets” shows that developing unit processes of high quality and transparency is not a trivial task, but is crucial for high-quality LCA studies. Chapter 4 “Multi-functionality in Life Cycle Inventory Analysis: Approaches and Solutions” describes how multi-functional processes can be identified. In Chapter 5 “Data Quality in Life Cycle Inventories”, the quality of data gathered and used in LCI analysis is discussed. State-of-the-art indicators to assess data quality in LCA are described and the fitness for purpose concept is introduced. Chapter 6 “Life Cycle Inventory Data and Databases“ follows up on the topic of LCI data and provides a state-of-the-art description of LCI databases. It describes differences between foreground and background data, recommendations for starting a database, data exchange and quality assurance concepts for databases, as well as the scientific basis of LCI databases. Chapter 7 “Algorithms of Life Cycle Inventory Analysis“ provides the mathematical models underpinning the LCI. Since Heijungs and Suh (2002), this is the first time that this aspect of LCA has been fundamentally presented. In Chapter 8 “Inventory Indicators in Life Cycle Assessment”, the use of LCI data to create aggregated environmental and resource indicators is described. Such indicators include the cumulative energy demand and various water use indicators. Chapter 9 “The Link Between Life Cycle Inventory Analysis and Life Cycle Impact Assessment” uses four examples to discuss the link between LCI analysis and LCIA. A clear and relevant link between these phases is crucial.