Database Creation Warehousing And Optimization

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Microsoft Sql Server 2000 Reference Library Database Creation Warehousing And Optimization

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Author :
language : en
Publisher:
Release Date : 2001

Microsoft Sql Server 2000 Reference Library Database Creation Warehousing And Optimization written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Client/server computing categories.

Data Warehousing The Ultimate Guide To Successful Implementation And Management

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-13

Data Warehousing The Ultimate Guide To Successful Implementation And Management written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Business & Economics categories.

In today's data-driven world, businesses need a comprehensive strategy for managing and analyzing their vast data assets. Data warehousing has become an essential tool for organizations seeking to gain valuable insights, improve decision-making, and drive business success. "Data Warehousing: The Ultimate Guide to Successful Implementation and Management" is the definitive resource for professionals looking to master the art of data warehousing. This comprehensive guide covers everything from the fundamentals of data warehousing to advanced topics such as big data analytics and artificial intelligence. Inside, you'll discover: * A thorough understanding of data warehousing concepts, benefits, and challenges * Step-by-step guidance on designing, implementing, and managing a data warehouse * Expert techniques for data integration, ETL processes, and data modeling * Strategies for ensuring data security, governance, and performance optimization * In-depth analysis of data warehousing tools and technologies, including traditional and cloud-based platforms * Emerging trends and innovations in data warehousing, such as big data, machine learning, and AI With its clear and engaging writing style, this book is perfect for data warehouse architects, administrators, business intelligence analysts, and anyone else seeking to harness the power of data for better decision-making. Whether you're starting from scratch or looking to optimize an existing data warehouse, this book is your ultimate guide to success. Gain the knowledge and skills you need to transform your organization into a data-driven powerhouse and unlock the full potential of data warehousing. If you like this book, write a review!

Database Performance Tuning And Optimization

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Author : Sitansu S. Mittra
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18

Database Performance Tuning And Optimization written by Sitansu S. Mittra 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 2006-04-18 with Computers categories.

Scope The book provides comprehensive coverage of database performance tuning and opti- zation using Oracle 8i as the RDBMS. The chapters contain both theoretical discussions dealing with principles and methodology as well as actual SQL scripts to implement the methodology. The book combines theory with practice so as to make it useful for DBAs and developers irrespective of whether they use Oracle 8i. Readers who do not use Oracle 8i can implement the principles via scripts of their own written for the particular RDBMS they use. I have tested each script for accuracy and have included the sample outputs generated from them. An operational database has three levels: conceptual, internal, and external. The c- ceptual level results from data modeling and logical database design. When it is imp- mented via an RDBMS such as Oracle, it is mapped onto the internal level. Database - jects of the conceptual level are associated with their physical counterparts in the internal level. An external level results from a query against the database and, as such, provides a window to the database. There are many external levels for a single conceptual level.

Data Warehousing And Mining Concepts Methodologies Tools And Applications

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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2008-05-31

Data Warehousing And Mining Concepts Methodologies Tools And Applications written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-31 with Technology & Engineering categories.

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

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

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Author : HARI GUPTA VAIDHEYAR RAMAN BALASUBRAMANIAN KARTHIK VENKATESAN RAGHAV AGARWAL
language : en
Publisher: DeepMisti Publication
Release Date : 2024-12-07

Advanced Data Warehousing Strategies Building Scalable And High Performance Data Storage Solutions written by HARI GUPTA VAIDHEYAR RAMAN BALASUBRAMANIAN KARTHIK VENKATESAN RAGHAV AGARWAL and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-07 with Computers categories.

In the ever-evolving landscape of the modern world, the synergy between technology and data 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 resilient and scalable storage solutions. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic and crucial 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 for scalability and high performance. From foundational principles to advanced applications, we delve into the critical aspects that drive successful innovation in data storage and processing. 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, data engineers, architects, 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 storage optimization techniques to the strategic management of data in modern organizations. Additionally, we emphasize the importance of performance tuning and scalability, dedicating sections to designing architectures that are efficient, reliable, and capable of meeting the demands of big data environments. The inspiration for this book arises from a recognition of the crucial role that advanced data warehousing solutions play in shaping the future of data-driven decision-making. 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 efficiency and innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating intelligent, scalable data storage solutions that will define the future of data management. Thank you for joining us on this journey. Authors

Enterprise Data Warehouse Optimization With Hadoop On Ibm Power Systems Servers

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Author : Scott Vetter
language : en
Publisher: IBM Redbooks
Release Date : 2018-01-31

Enterprise Data Warehouse Optimization With Hadoop On Ibm Power Systems Servers written by Scott Vetter and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Computers categories.

Data warehouses were developed for many good reasons, such as providing quick query and reporting for business operations, and business performance. However, over the years, due to the explosion of applications and data volume, many existing data warehouses have become difficult to manage. Extract, Transform, and Load (ETL) processes are taking longer, missing their allocated batch windows. In addition, data types that are required for business analysis have expanded from structured data to unstructured data. The Apache open source Hadoop platform provides a great alternative for solving these problems. IBM® has committed to open source since the early years of open Linux. IBM and Hortonworks together are committed to Apache open source software more than any other company. IBM Power SystemsTM servers are built with open technologies and are designed for mission-critical data applications. Power Systems servers use technology from the OpenPOWER Foundation, an open technology infrastructure that uses the IBM POWER® architecture to help meet the evolving needs of big data applications. The combination of Power Systems with Hortonworks Data Platform (HDP) provides users with a highly efficient platform that provides leadership performance for big data workloads such as Hadoop and Spark. This IBM RedpaperTM publication provides details about Enterprise Data Warehouse (EDW) optimization with Hadoop on Power Systems. Many people know Power Systems from the IBM AIX® platform, but might not be familiar with IBM PowerLinuxTM, so part of this paper provides a Power Systems overview. A quick introduction to Hadoop is provided for those not familiar with the topic. Details of HDP on Power Reference architecture are included that will help both software architects and infrastructure architects understand the design. In the optimization chapter, we describe various topics: traditional EDW offload, sizing guidelines, performance tuning, IBM Elastic StorageTM Server (ESS) for data-intensive workload, IBM Big SQL as the common structured query language (SQL) engine for Hadoop platform, and tools that are available on Power Systems that are related to EDW optimization. We also dedicate some pages to the analytics components (IBM Data Science Experience (IBM DSX) and IBM SpectrumTM Conductor for Spark workload) for the Hadoop infrastructure.

Ultimate Snowflake Architecture For Cloud Data Warehousing Architect Manage Secure And Optimize Your Data Infrastructure Using Snowflake For Actionable Insights And Informed Decisions

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Author : Ganesh Bharathan
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-04-25

Ultimate Snowflake Architecture For Cloud Data Warehousing Architect Manage Secure And Optimize Your Data Infrastructure Using Snowflake For Actionable Insights And Informed Decisions written by Ganesh Bharathan and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-25 with Computers categories.

"Unlocking the Power of Snowflake: Unveiling the Architectural Wonders of Modern Data Management" Key Features● Learn from real client experiences for practical deployment and administration. ● Design secure and high-performance data architectures. ● Develop seamless data pipelines for creation, transformation, and consumption. ● Utilize Snowflake Data Exchange for collaborative data sets and insights. Book DescriptionUnlock the revolutionary world of Snowflake with this comprehensive book which offers invaluable insights into every aspect of Snowflake architecture and management. Beginning with an introduction to Snowflake's architecture and key concepts, you will learn about cloud data warehousing principles like Star and Snowflake schemas to master efficient data organization. Advancing to topics such as distributed systems and data loading techniques, you will discover how Snowflake manages data storage and processing for scalability and optimized performance. Covering security features like encryption and access control, the book will equip you with the tools to ensure data confidentiality and compliance. The book also covers expert insights into performance optimization and schema design, equipping you with techniques to unleash Snowflake's full potential. By the end, you will have a comprehensive understanding of Snowflake's architecture and be empowered to leverage its features for valuable insights from massive datasets. What you will learn● Understand the foundational principles of Snowflake architecture and its core components ● Efficiently manage organizations and accounts within the Snowflake environment ● Leverage virtual warehouse compute to scale processing capabilities effectively ● Implement role-based access control to ensure robust data security measures ● Establish comprehensive data governance practices tailored to Snowflake ● Apply the security framework provided by Snowflake to safeguard data assets ● Implement deployment considerations for seamless integration into existing systems ● Optimize data storage strategies to maximize efficiency and performance ● Explore the Snowflake Marketplace for additional resources and solutions ● Extend Snowflake's functionality using Snowpark for enhanced data processing capabilities Table of Contents1. Getting Started with Snowflake Architecture 2. Managing Organizations and Accounts 3. Virtual Warehouse Compute 4. Role-Based Access Control 5. Snowflake Data Governance 6. Snowflake Security Framework 7. Deployment Considerations 8. Data Storage in Snowflake 9. Snowflake Marketplace: 10. Snowpark Index

Data Modeling For Azure Data Services

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Author : Peter ter Braake
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-30

Data Modeling For Azure Data Services written by Peter ter Braake 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 2021-07-30 with Computers categories.

Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide Key FeaturesDesign a cost-effective, performant, and scalable database in AzureChoose and implement the most suitable design for a databaseDiscover how your database can scale with growing data volumes, concurrent users, and query complexityBook Description Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation. Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory. By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution. What you will learnModel relational database using normalization, dimensional, or Data Vault modelingProvision and implement Azure SQL DB and Azure Synapse SQL PoolsDiscover how to model a Data Lake and implement it using Azure StorageModel a NoSQL database and provision and implement an Azure Cosmos DBUse Azure Data Factory to implement ETL/ELT processesCreate a star schema model using dimensional modelingWho this book is for This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.

Expert Oracle Database 11g Administration

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Author : Sam Alapati
language : en
Publisher: Apress
Release Date : 2009-01-10

Expert Oracle Database 11g Administration written by Sam Alapati and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-10 with Computers categories.

Sam Alapati's Expert Oracle Database 11g Administration is a comprehensive handbook for Oracle database administrators (DBAs) using the 11g release of the Oracle Database. All key aspects of database administration are covered, including backup and recovery, day–to–day administration and monitoring, performance tuning, and more. This is the one book to have on your desk as a continual reference. Refer to it frequently. It'll help you get the job done. Comprehensive handbook for Oracle Database administrators. Covers all major aspects of database administration. Tests and explains in detail key DBA commands. Offers primers on Linux/Unix, data modeling, SQL, and PL/SQL.

Infosphere Warehouse Cubing Services And Client Access Interfaces

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Author : Chuck Ballard
language : en
Publisher: IBM Redbooks
Release Date : 2008-12-16

Infosphere Warehouse Cubing Services And Client Access Interfaces written by Chuck Ballard and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-16 with Computers categories.

Formerly known as DB2® Warehouse, InfoSphereTM Warehouse enables a unified, powerful data warehousing environment. It provides access to structured and unstructured data, as well as operational and transactional data. In this IBM® Redbooks® publication, we provide a brief overview of InfoSphere Warehouse, but the primary objective is to discuss and describe the capabilities of one particular component of the InfoSphere Warehouse, which is InfoSphere Warehouse Cubing Services. InfoSphere Warehouse Cubing Services is designed to provide a multidimensional view of data stored in relational databases, for significantly improved query and analysis capabilities. For this, there are particular schema designs that are typically used for these data warehouse and data mart databases, called dimensional, or cube, models. Optimization techniques are used to dramatically improve the performance of the OLAP queries, which are a core component of data warehousing and analytics. InfoSphere Warehouse Cubing Services works with business intelligence (BI) tools, and clients, such as Cognos® , Alphablox, and Microsoft® Excel® , through client interfaces, to accelerate OLAP queries from many data sources. We describe these interfaces and provide examples of how to use them to improve the performance of your OLAP queries.