Wherescape Solutions For Data Warehouse Automation

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Wherescape Solutions For Data Warehouse Automation Definitive Reference For Developers And Engineers

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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17

Wherescape Solutions For Data Warehouse Automation Definitive Reference For Developers And Engineers written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with categories.

Enterprise Information Systems

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Author : Joaquim Filipe
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-04

Enterprise Information Systems written by Joaquim Filipe and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-04 with Business & Economics categories.

This book contains the collection of full papers accepted at the 11th International Conference on Enterprise Information Systems (ICEIS 2009), organized by the Ins- tute for Systems and Technologies of Information Control and Communication (INSTICC) in cooperation with the Association for Advancement of Artificial Intel- gence (AAAI) and ACM SIGMIS (SIG on Management Information Systems), and technically co-sponsored by the Japanese IEICE SWIM (SIG on Software Interprise Modeling) and the Workflow Management Coalition (WfMC). ICEIS 2009 was held in Milan, Italy. This conference has grown to become a - jor point of contact between research scientists, engineers and practitioners in the area of business applications of information systems. This year, five simultaneous tracks were held, covering different aspects related to enterprise computing, including: “- tabases and Information Systems Integration,” “Artificial Intelligence and Decision Support Systems,” “Information Systems Analysis and Specification,” “Software Agents and Internet Computing” and “Human–Computer Interaction”. All tracks describe research work that is often oriented toward real-world applications and hi- light the benefits of information systems and technology for industry and services, thus making a bridge between academia and enterprise. ICEIS 2009 received 644 paper submissions from 70 countries in all continents; 81 papers were published and presented as full papers, i.e., completed research work (8 pages/30-minute oral presentation). Additional papers accepted at ICEIS, including short papers and posters, were published in the regular conference proceedings.

Data Warehouse Systems

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Author : Alejandro Vaisman
language : en
Publisher: Springer Nature
Release Date : 2022-07-15

Data Warehouse Systems written by Alejandro Vaisman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

The Modern Data Warehouse In Azure

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Author : Matt How
language : en
Publisher: Apress
Release Date : 2020-06-15

The Modern Data Warehouse In Azure written by Matt How and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-15 with Computers categories.

Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. What You Will Learn Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse Who This Book Is For Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge

Data Warehouse Automation

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Author : Martin Gandalson
language : en
Publisher: Pragmatic Guide
Release Date : 2018-07-24

Data Warehouse Automation written by Martin Gandalson and has been published by Pragmatic Guide this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-24 with Business & Economics categories.

The definitive guide to actually building your data warehouse... Utilizing recent technology, small companies can finally build a data warehouse at a very affordable cost, and keep the design (and the data!) in-house. Large companies can now build and maintain their data warehouses better than ever before: faster, cheaper, more secure, and more agile. In fact, in this hands-on guide we will show the step-by-step development of an actual data warehouse prototype, using free-trial tools. This is a practical hands-on guide, and we will stick to the relevant topics that are important to someone who actually wants to build a DW as soon as possible. We won't be pontificating on academic positions, nor fluffing up the word count. We assume that you are more anxious to roll up your sleeves and get started than to debate theory with purists. Yet at the same time, we will detail the necessary planning that you must conduct in order to maximize the success of your data warehouse program. Along the way, we will identify and avoid the common pitfalls that can lead to failure. By following this step-by-step guide, you can create a data warehouse for your company or organization. You will not need a large budget. You will not need expensive outside consultants. You will not need to share your data outside your company. You will not need specialized skills beyond those of a typical database programmer or database administrator. Yes, you can build a data warehouse: on a small budget, completely in-house, using only your current database employee(s). Martin Gandalson will show you how, step by step. This toolkit can be used to build any data warehouse, data mart, or webhouse.

Automating The Modern Data Warehouse

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Author : Steve Swoyer
language : en
Publisher:
Release Date : 2021

Automating The Modern Data Warehouse written by Steve Swoyer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

The opportunity to modernize and improve the enterprise data warehouse is one of the best reasons for moving your application to the cloud. A data warehouse can access a greater diversity of use cases and practices than is possible in an existing environment. In this report, researcher and analyst Stephen Swoyer offers a comprehensive overview of the benefits and challenges of implementing a cloud-based data warehouse. Senior IT decision makers, chief data officers, and data professionals will learn about the shifts and new trends in the data management landscape. Explore ways to improve data management, build a data warehouse strategy, and learn how to modernize a data warehouse effectively. Understand how AI, machine learning, self-service data integration, and built-in developer-oriented services have transformed the data warehouse role Use data warehouses to work with cloud-based data lakes for end-to-end data management and data governance Explore how data warehouse platforms as a service (PaaS) pave the way to automation Migrate, manage, and secure a data warehouse in a hybrid or multicloud environment.

Data Warehousing

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Author : SCN Education B.V.
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Data Warehousing written by SCN Education B.V. and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Technology & Engineering categories.

Data: from acquisition to interpretation Historically, the major challenge for organizations was capturing data. Years ago, businesses were able to leverage the information they could get, but weren't very good at getting detailed information across a range of business processes. In the business environment of today, virtually every transaction and minute business data is recorded in databases to enable better, more effective decision making throughout the organization. Most of the technology emphasis has been on storing data, with less attention paid to tools for transforming data into meaningful information which can be easily accessed and shared by executives. A data warehouse system can take meaningless data and, using intense analytical processing, offer insight into changing market conditions before they occur. The capability to optimize customer interactions and supply chain operations is becoming a source of great competitive advantage. This Hon Guide will give you access to all the essential information about the newest was to store and interpret data: through articles by expert trendwachters on strategic considerations, how-to reports defining the various ways to extract the data needed for critical business decisions, technical papers clarifying technologies and tools, business cases and key concepts that will provide the reader with a comprehensive overview of a business solution that is already indispensable.

Advanced Data Warehouse Design

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Author : Elzbieta Malinowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-22

Advanced Data Warehouse Design written by Elzbieta Malinowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-22 with Computers categories.

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Advanced Data Warehousing Strategies Building Scalable And High Performance Data Storage Solutions

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Author : ROHAN VISWANATHA PRASAD SWATHI GARUDASU SMITA RAGHAVENDRA BHAT PROF. (DR) PUNIT GOEL
language : en
Publisher: DeepMisti Publication
Release Date : 2024-11-09

Advanced Data Warehousing Strategies Building Scalable And High Performance Data Storage Solutions written by ROHAN VISWANATHA PRASAD SWATHI GARUDASU SMITA RAGHAVENDRA BHAT PROF. (DR) PUNIT GOEL and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-09 with Computers categories.

In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Advanced Data Warehousing Strategies: Building Scalable and High-Performance Data Storage Solutions, is conceived to bridge the gap between emerging technological advancements in data warehousing and their strategic application in building efficient, scalable, and high-performance data storage systems. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of data warehousing technologies, particularly focusing on techniques and applications relevant to modern data storage solutions. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in large-scale data systems. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, developers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world data warehousing scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from data warehousing fundamentals and optimization techniques to the strategic management of scalable storage systems. Additionally, we emphasize the importance of high performance and data integrity, dedicating sections to the art of developing data solutions that deliver efficiency, scalability, and resilience. The inspiration for this book arises from a recognition of the crucial role that data warehousing systems play in shaping the future of digital interactions and business intelligence. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how data warehousing strategies can be harnessed to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating high-performance data storage solutions that will define the future of enterprise data management. Thank you for joining us on this journey. Authors

Data Warehousing

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Author : Harry Singh
language : en
Publisher: Prentice Hall
Release Date : 1998

Data Warehousing written by Harry Singh and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

"Every organization today is overflowing with data, records, and files. The smart ones are restructuring this hidden treasure into accessible, reconciled data warehouses. Data Warehousing gives you all the necessary tools to work this transformation on your archives so you can build and manage a successful data warehouse." "Data Warehousing is intended to provide practical guidance for users who are familiar with database technologies and client/server architectures, but it is not based on any specific hardware or software. A full bibliography and glossary help bridge the gap to familiarize users with technology and terms."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved