BOOKS - OS AND DB - A Manager’s Guide to Data Warehousing
A Manager’s Guide to Data Warehousing - Laura Reeves 2009 PDF Wiley Publishing BOOKS OS AND DB
ECO~18 kg CO²

1 TON

Views
78385

Telegram
 
A Manager’s Guide to Data Warehousing
Author: Laura Reeves
Year: 2009
Pages: 482
Format: PDF
File size: 13,77 MB
Language: ENG



Pay with Telegram STARS
Book A Manager's Guide to Data Warehousing Introduction: In today's fast-paced digital world, data warehousing has become an essential tool for businesses to manage and analyze their vast amounts of data. As technology continues to evolve, it is crucial for managers to stay up-to-date on the latest trends and techniques in data warehousing to remain competitive. This guide provides a comprehensive overview of the process of data warehousing, from its goals and objectives to the critical decision points that can make or break a project. Whether you are a seasoned manager or just starting out, this book will provide you with the knowledge and skills necessary to successfully navigate the complex world of data warehousing. Chapter 1: Understanding the Evolution of Technology The first chapter delves into the evolution of technology and its impact on data warehousing. It explores how technological advancements have transformed the way we collect, store, and analyze data, and how these changes have influenced the development of modern knowledge. The author emphasizes the importance of understanding the technological process and its potential to shape our future, highlighting the need for a personal paradigm for perceiving technological progress. By recognizing the power of technology, managers can better adapt to the ever-changing landscape of data warehousing and make informed decisions about their organization's data management strategies.
Book A Manager's Guide to Data Warehousing Введение: В современном быстроразвивающемся цифровом мире хранение данных стало важным инструментом для управления и анализа больших объемов данных. Поскольку технологии продолжают развиваться, для менеджеров крайне важно быть в курсе последних тенденций и методов хранения данных, чтобы оставаться конкурентоспособными. В этом руководстве представлен всесторонний обзор процесса хранения данных, от его целей и задач до критических точек принятия решений, которые могут привести к срыву проекта. Независимо от того, являетесь ли вы опытным менеджером или только начинаете, эта книга предоставит вам знания и навыки, необходимые для успешной навигации в сложном мире хранения данных. Глава 1: Понимание эволюции технологии Первая глава посвящена эволюции технологии и ее влиянию на хранение данных. В нем исследуется, как технологические достижения изменили способы сбора, хранения и анализа данных и как эти изменения повлияли на развитие современных знаний. Автор подчеркивает важность понимания технологического процесса и его потенциала для формирования нашего будущего, подчеркивая необходимость личной парадигмы восприятия технологического прогресса. Осознавая мощь технологий, менеджеры могут лучше адаптироваться к постоянно меняющейся среде хранения данных и принимать обоснованные решения о стратегиях управления данными в своей организации.
Book A Manager Guide to Data Warehousing Introduction : Dans le monde numérique en évolution rapide d'aujourd'hui, le stockage est devenu un outil essentiel pour la gestion et l'analyse de grandes quantités de données. Alors que la technologie continue d'évoluer, il est essentiel que les gestionnaires se tiennent au courant des dernières tendances et méthodes de stockage pour rester compétitifs. Ce guide donne un aperçu complet du processus de stockage, depuis ses objectifs et ses tâches jusqu'aux points de décision critiques susceptibles de perturber le projet. Que vous soyez un gestionnaire expérimenté ou que vous commenciez à peine, ce livre vous fournira les connaissances et les compétences nécessaires pour naviguer avec succès dans le monde complexe du stockage. Chapitre 1 : Comprendre l'évolution de la technologie premier chapitre traite de l'évolution de la technologie et de son impact sur le stockage des données. Il examine comment les progrès technologiques ont modifié la façon dont les données sont collectées, stockées et analysées et comment ces changements ont influencé le développement des connaissances actuelles. L'auteur souligne l'importance de comprendre le processus technologique et son potentiel pour façonner notre avenir, soulignant la nécessité d'un paradigme personnel de perception du progrès technologique. Conscients de la puissance de la technologie, les gestionnaires peuvent mieux s'adapter à un environnement de stockage en constante évolution et prendre des décisions éclairées sur les stratégies de gestion des données au sein de leur organisation.
Book A Manager's Guide to Data Warehousing Introducción: En el mundo digital en rápida evolución, el almacenamiento de datos se ha convertido en una herramienta importante para la gestión y el análisis de grandes volúmenes de datos. A medida que la tecnología continúa evolucionando, es fundamental que los gerentes estén al tanto de las últimas tendencias y métodos de almacenamiento para mantenerse competitivos. Esta guía ofrece una visión general completa del proceso de almacenamiento, desde sus objetivos y metas hasta los puntos críticos de toma de decisiones que pueden conducir a la interrupción del proyecto. Ya sea que sea un gestor experimentado o que esté empezando, este libro le proporcionará los conocimientos y habilidades que necesita para navegar con éxito en el complejo mundo del almacenamiento de información. Capítulo 1: Comprender la evolución de la tecnología primer capítulo trata de la evolución de la tecnología y su impacto en el almacenamiento de datos. Explora cómo los avances tecnológicos han cambiado las formas en que se recogen, almacenan y analizan los datos y cómo estos cambios han afectado al desarrollo del conocimiento actual. autor destaca la importancia de comprender el proceso tecnológico y su potencial para forjar nuestro futuro, destacando la necesidad de un paradigma personal para percibir el progreso tecnológico. Conscientes del poder de la tecnología, los administradores pueden adaptarse mejor a un entorno de almacenamiento de información en constante cambio y tomar decisiones informadas sobre las estrategias de gestión de datos en su organización.
Book A Gestor's Guia to Data Warehousing Introdução: No mundo digital atual, o armazenamento de dados é uma ferramenta importante para gerenciar e analisar grandes quantidades de dados. Como a tecnologia continua a evoluir, é fundamental para os gestores estarem cientes das últimas tendências e técnicas de armazenamento de dados para se manterem competitivos. Este manual fornece uma revisão completa do processo de armazenamento de dados, desde seus objetivos e tarefas até pontos críticos de tomada de decisões que podem causar uma interrupção do projeto. Independentemente de ser um gestor experiente ou apenas começar, este livro fornecerá-lhe os conhecimentos e habilidades necessários para navegar com sucesso em um mundo complexo de armazenamento de dados. Capítulo 1: Compreensão da evolução da tecnologia O primeiro capítulo é sobre a evolução da tecnologia e seus efeitos no armazenamento de dados. Ele investiga como os avanços tecnológicos mudaram a forma como os dados foram coletados, armazenados e analisados e como essas mudanças afetaram o desenvolvimento do conhecimento moderno. O autor ressalta a importância de compreender o processo tecnológico e seu potencial para construir o nosso futuro, enfatizando a necessidade de um paradigma pessoal de percepção do progresso tecnológico. Conscientes do poder da tecnologia, os gerentes podem se adaptar melhor a um ambiente de armazenamento em constante mudança e tomar decisões razoáveis sobre estratégias de gerenciamento de dados em sua organização.
Book A Manager s Guide to Data Warehousing Introduzione: in un mondo digitale in continua espansione, lo storage è stato uno strumento importante per gestire e analizzare grandi quantità di dati. Poiché la tecnologia continua ad evolversi, è fondamentale per i manager essere consapevoli delle ultime tendenze e metodi di storage per rimanere competitivi. In questa guida viene fornita una panoramica completa del processo di storage, dai relativi obiettivi e obiettivi ai punti decisionali critici che potrebbero causare l'interruzione del progetto. Che si tratti di un manager esperto o che si stia solo iniziando, questo libro vi fornirà le conoscenze e le competenze necessarie per navigare con successo nel complesso mondo dello storage. Capitolo 1: Comprensione dell'evoluzione della tecnologia Il primo capitolo è dedicato all'evoluzione della tecnologia e al suo impatto sullo storage. Esso esamina come i progressi tecnologici abbiano modificato il modo in cui i dati vengono raccolti, memorizzati e analizzati e come questi cambiamenti abbiano influenzato la conoscenza moderna. L'autore sottolinea l'importanza di comprendere il processo tecnologico e il suo potenziale per costruire il nostro futuro, sottolineando la necessità di un paradigma personale di percezione del progresso tecnologico. Consapevoli della potenza della tecnologia, i manager possono adattarsi meglio all'ambiente di storage in continua evoluzione e prendere decisioni fondate sulle strategie di gestione dei dati all'interno dell'organizzazione.
Book A Manager 's Guide to Data Warehousing Einführung: In der heutigen schnelllebigen digitalen Welt ist die Datenspeicherung zu einem wichtigen Werkzeug für die Verwaltung und Analyse großer Datenmengen geworden. Da sich die Technologie ständig weiterentwickelt, ist es für Manager von entscheidender Bedeutung, über die neuesten Trends und Speichermethoden auf dem Laufenden zu bleiben, um wettbewerbsfähig zu bleiben. Dieses Handbuch bietet einen umfassenden Überblick über den Prozess der Datenspeicherung, von seinen Zielen und Aufgaben bis hin zu kritischen Entscheidungspunkten, die zum Scheitern eines Projekts führen können. Ob e ein erfahrener Manager sind oder gerade erst anfangen, dieses Buch vermittelt Ihnen das Wissen und die Fähigkeiten, die e benötigen, um erfolgreich in der komplexen Welt der Datenspeicherung zu navigieren. Kapitel 1: Die Entwicklung der Technologie verstehen Das erste Kapitel befasst sich mit der Entwicklung der Technologie und ihren Auswirkungen auf die Datenspeicherung. Es untersucht, wie der technologische Fortschritt die Art und Weise, wie Daten gesammelt, gespeichert und analysiert werden, verändert hat und wie diese Veränderungen die Entwicklung des modernen Wissens beeinflusst haben. Der Autor betont die Bedeutung des Verständnisses des technologischen Prozesses und seines Potenzials für die Gestaltung unserer Zukunft und betont die Notwendigkeit eines persönlichen Paradigmas der Wahrnehmung des technologischen Fortschritts. Durch das Bewusstsein für die Macht der Technologie können sich Manager besser an die sich ständig verändernde Speicherumgebung anpassen und fundierte Entscheidungen über Datenmanagementstrategien in ihrer Organisation treffen.
''
Book A Manager's Guide to Data Warehousing Giriş: Günümüzün hızla büyüyen dijital dünyasında, veri ambarı büyük miktarda veriyi yönetmek ve analiz etmek için önemli bir araç haline gelmiştir. Teknoloji gelişmeye devam ettikçe, yöneticilerin rekabetçi kalabilmek için en son trendleri ve depolama uygulamalarını takip etmeleri kritik öneme sahiptir. Bu kılavuz, amaçlarından ve hedeflerinden projenin bozulmasına yol açabilecek kritik karar noktalarına kadar veri depolama sürecine kapsamlı bir genel bakış sağlar. İster deneyimli bir yönetici olun, ister yeni başlayın, bu kitap size karmaşık depolama dünyasında başarılı bir şekilde gezinmek için ihtiyaç duyduğunuz bilgi ve becerileri verecektir. Bölüm 1: Teknolojinin Evrimini Anlamak İlk bölüm, teknolojinin evrimine ve bunun veri depolama üzerindeki etkisine odaklanmaktadır. Teknolojik gelişmelerin verilerin toplanma, saklanma ve analiz edilme şeklini nasıl değiştirdiğini ve bu değişikliklerin modern bilginin gelişimini nasıl etkilediğini araştırıyor. Yazar, teknolojik süreci ve geleceğimizi şekillendirme potansiyelini anlamanın önemini vurgulayarak, teknolojik ilerlemenin kişisel bir algı paradigmasına duyulan ihtiyacı vurgulamaktadır. Teknolojinin gücünü kabul eden yöneticiler, sürekli değişen bir depolama ortamına daha iyi uyum sağlayabilir ve kuruluşlarının veri yönetimi stratejileri hakkında bilinçli kararlar alabilir.
كتاب دليل المدير لتخزين البيانات مقدمة: في عالم اليوم الرقمي سريع النمو، أصبح تخزين البيانات أداة مهمة لإدارة وتحليل كميات كبيرة من البيانات. مع استمرار تطور التكنولوجيا، من الأهمية بمكان أن يظل المديرون على اطلاع على أحدث الاتجاهات وممارسات التخزين ليظلوا قادرين على المنافسة. يقدم هذا الدليل لمحة عامة شاملة عن عملية تخزين البيانات، من أهدافه وغاياته إلى نقاط القرار الحاسمة التي يمكن أن تؤدي إلى تعطيل المشروع. سواء كنت مديرًا متمرسًا أو بدأت للتو، فإن هذا الكتاب سيمنحك المعرفة والمهارات التي تحتاجها للتنقل في عالم التخزين المعقد بنجاح. الفصل 1: فهم تطور التكنولوجيا يركز الفصل الأول على تطور التكنولوجيا وأثرها على تخزين البيانات. يستكشف كيف غيرت التطورات التكنولوجية طريقة جمع البيانات وتخزينها وتحليلها، وكيف أثرت هذه التغييرات على تطور المعرفة الحديثة. ويشدد المؤلف على أهمية فهم العملية التكنولوجية وقدرتها على تشكيل مستقبلنا، مشددا على الحاجة إلى نموذج شخصي لتصور التقدم التكنولوجي. وإدراكاً لقوة التكنولوجيا، يمكن للمديرين التكيف بشكل أفضل مع بيئة التخزين المتغيرة باستمرار واتخاذ قرارات مستنيرة بشأن استراتيجيات إدارة البيانات في منظمتهم.

You may also be interested in:

Data Science A Comprehensive Beginner’s Guide to Learn About the Realms of Data Science from A-Z
Unsustainable: Amazon, Warehousing, and the Politics of Exploitation
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Advanced Software Testing - Vol. 2, 2nd Edition Guide to the ISTQB Advanced Certification as an Advanced Test Manager
Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)
Python Data Science A Step-By-Step Guide to Data Analysis
Coding with Python The Ultimate Guide For Data Science, a Smart Way to Program With Python, Understand Data Analytics and Deep Learning Faster Computer Programming for Beginners (Book Python 3)
The Data Revolution Big Data, Open Data, Data Infrastructures and Their Consequences
Python for Data Science A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence
Python Data Science The Bible. The Ultimate Beginner’s Guide to Learn Data Analysis, from the Basics and Essentials, to Advance Content! (Python Programming, Python Crash Course, Coding Made Easy Book
Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects and Case Studies.
Data Analysis Foundations with Python Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn A Hands-On Guide with Projects and Case Studies
Data Analysis Foundations with Python Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn A Hands-On Guide with Projects and Case Studies
Python for Data Analysis The Ultimate Beginner|s Guide to Learn programming in Python for Data Science with Pandas and NumPy, Master Statistical Analysis, and Visualization
Python for Data Analysis A Basic Guide for Beginners to Learn the Language of Python Programming Codes Applied to Data Analysis with Libraries Software Pandas, Numpy, and IPython
Data Science 2 Books in 1 Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects
Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition
Data Modeling Made Simple with Embarcadero ER/Studio Data Architect Adapting to Agile Data Modeling in a Big Data World
Data Analytics Principles, Tools, and Practices A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools
Python For Data Analysis A Step-by-Step Guide to Pandas, NumPy, and SciPy for Data Wrangling, Analysis, and Visualization
Python in Power BI Unleash the Power of Python for Dynamic Data Analysis A Comprehensive Guide to Data Visualization
Python in Power BI Unleash the Power of Python for Dynamic Data Analysis A Comprehensive Guide to Data Visualization
Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques
Python Data Science: Deep Learning Guide for Beginners with Data Science. Python Programming and Crush Course.
Intelligent Data Analysis From Data Gathering to Data Comprehension (The Wiley Series in Intelligent Signal and Data Processing)
Machine Learning Upgrade: A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure: A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Python Data Science An Ultimate Guide for Beginners to Learn Fundamentals of Data Science Using Python
Implementing Data Mesh Design, Build, and Implement Data Contracts, Data Products, and Data Mesh
Implementing Data Mesh Design, Build, and Implement Data Contracts, Data Products, and Data Mesh
Ultimate Azure Data Scientist Associate (DP-100) Certification Guide: Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam (English Edition)
Ultimate Azure Data Scientist Associate (DP-100) Certification Guide Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam
Ultimate Azure Data Scientist Associate (DP-100) Certification Guide Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam
Big data Concepts, Warehousing, and Analytics (River Publishers Series in Information Science and Technology)
Python for Data Science Comprehensive Guide of Tips and Tricks using Python Data Science
Data Science From Scratch Comprehensive Beginners Guide To Learn Data Science From Scratch
Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security