Data Warehousing Essentials
Download Data Warehousing Essentials PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Warehousing Essentials book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data Warehousing Essentials
Author: Julio Bolton
language: en
Publisher: Larsen and Keller Education
Release Date: 2019-06-28
A data warehouse (DW) is a system used in computing for data analysis and reporting. It is a core component of business intelligence. It stores integrated historical and current data from one or more sources. Data can be characterized according to data integration, time-variance, subject orientation, volatility, granularity, etc. It is then arranged into groups, facts and aggregate facts. The sources of data are cleansed, catalogued, transformed and used for data mining, market research, decision support and online analytical processing. The ways to analyze or retrieve the data, transform, load and extract data and manage the data dictionary are essential components of a data warehousing system. Data warehouses can be designed using the bottom-up, top-down or hybrid design models. This book aims to shed light on some of the unexplored aspects of data warehousing. Most of the topics introduced herein cover new techniques and applications of this field. Those in search of information to further their knowledge will be greatly assisted by this textbook.
Data Warehouse Essentials
Author: Virversity Online Courses
language: en
Publisher: eBookIt.com
Release Date: 2025-03-26
Data Warehouse Essentials is a comprehensive course designed to empower individuals with a robust understanding of data warehousing concepts, architecture, and best practices. Whether you're an aspiring data professional or looking to improve your data management skills, this course provides the essential knowledge needed to design, implement, and optimize a data warehouse effectively. Master the Fundamentals of Data Warehousing Understand core data warehousing concepts and their importance in modern data management. Gain insights into key architectural components and design considerations. Learn data modeling techniques, including ER models and star schemas. Explore the essentials of ETL processes and integrating multiple data sources. Discover popular data warehousing tools and technologies. Develop skills for querying, reporting, and optimizing data warehouse performance. Ensure security, compliance, and governance in data warehousing. Identify the relationship between big data and data warehouses. Comprehensive Guide to Data Warehousing Concepts and Techniques This course begins with an introduction to data warehousing, providing an overview of its fundamental concepts, highlighting the significant impact they have in today's data-driven decision-making processes. Students will delve into the architecture of data warehouses, examining key components and the various design considerations crucial for creating efficient systems. As learners progress, they will explore data modeling techniques, including Entity-Relationship (ER) models and star schemas, which are integral for organizing and structuring data within a warehouse. The course further covers essential ETL (Extract, Transform, Load) procedures necessary for data integration and cleansing, ensuring a smooth and accurate data flow into the warehouse. The practical skills taught extend to the use of popular data warehousing tools and technologies, aiding students in navigating the current technology landscape. Additionally, the course addresses the critical areas of querying and reporting, providing techniques for effective data analysis and visualization. Individuals will gain insights into performance optimization strategies, essential for maintaining the efficiency and speed of data warehouse operations. Furthermore, the course emphasizes security and data governance, critical for ensuring that data warehouses meet compliance requirements and remain secure. Finally, participants will explore the dynamic interaction between big data and data warehousing, equipping them with the knowledge to handle modern data complexities effectively. By the end of the course, students will transform their data management capabilities, becoming proficient in designing and managing robust data warehouses that support strategic business objectives.
Data Warehousing Essentials
The deployment of Data Warehouses as a business application has grown tremendously over the past decade. Data warehouses are today considered to be one of the key components of an organizations overall IT strategy and architecture. This is especially true in the current Knowledge based global economy. Innovation and creativity is the current buzzword as business enterprises struggle to retain their stranglehold and find new markets for their products or services. Data warehouses are being developed and deployed for all businesses irrespective of its size and nature. Foreseeing a huge growth potential major hardware and software vendors, across the world, have quickly developed products and services specifically targeting the data warehousing market. The objective of this book is to provide the reader with an insight to the world of Data Warehousing, in a lucid manner devoid of mathematical complications.