Efficient Etl Systems Design
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Efficient Etl Systems Design
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-12
Efficient Etl Systems Design 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 2025-06-12 with Computers categories.
"Efficient ETL Systems Design" "Efficient ETL Systems Design" is a comprehensive and authoritative guide to the architecture, implementation, and optimization of Extract, Transform, Load (ETL) systems for data-driven organizations. This book systematically explores the evolution of ETL, from early batch processing to modern, event-driven, and cloud-native paradigms, illuminating foundational principles such as modularity, maintainability, and scalability. Readers are introduced to advanced topics including state management, metadata handling, strategic trade-offs between ETL and ELT, and the integration of both legacy and emerging data sources. Through detailed chapters, the book navigates cutting-edge extraction and transformation strategies—including scalable, parallel, and real-time pipelines—while delving into performance optimization, data quality, error handling, and schema evolution. It covers the intricacies of high-efficiency data loading, reliability, and fault tolerance, offering proven techniques for maximizing throughput, ensuring data consistency, and implementing robust disaster recovery. Special attention is given to the orchestration, automation, and monitoring of complex ETL workflows, embracing best practices across scheduling, resource management, DevOps integration, and operational observability. Security, compliance, and data governance form a critical axis of the book, alongside practical guidance for adopting cloud-native, serverless, and containerized ETL frameworks. The final chapters extend into future-facing topics such as DataOps, machine learning pipelines, streaming-first architectures, and the impact of data mesh and decentralized ETL. "Efficient ETL Systems Design" equips data engineers, architects, and technical leaders with the tools, frameworks, and strategies required to build resilient, scalable, and future-proof data integration solutions in a rapidly evolving landscape.
Recent Advances In Information Systems And Technologies
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Author : Álvaro Rocha
language : en
Publisher: Springer
Release Date : 2017-03-28
Recent Advances In Information Systems And Technologies written by Álvaro Rocha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-28 with Technology & Engineering categories.
This book presents a selection of papers from the 2017 World Conference on Information Systems and Technologies (WorldCIST'17), held between the 11st and 13th of April 2017 at Porto Santo Island, Madeira, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges involved in modern Information Systems and Technologies research, together with technological developments and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics, Computers & Security; Health Informatics; Information Technologies in Education; and Information Technologies in Radiocommunications.
Managing Enterprise Business Intelligence A Comprehensive Guide 2025
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Author : Saurabhkumar Sumatprakash Gandhi, Prof (Dr) Moparthi Nageswara Rao
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Managing Enterprise Business Intelligence A Comprehensive Guide 2025 written by Saurabhkumar Sumatprakash Gandhi, Prof (Dr) Moparthi Nageswara Rao and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the rapidly evolving digital landscape, data has become one of the most valuable assets for organizations. With vast amounts of information being generated every second, businesses are under constant pressure to transform this data into actionable insights that drive decision-making, strategy, and innovation. Business Intelligence (BI) is at the forefront of this transformation, enabling organizations to harness the power of their data and convert it into meaningful, real-time insights. The role of BI within enterprises has grown significantly over the past few decades, evolving from simple reporting tools to complex, integrated platforms capable of advanced analytics, machine learning, and predictive modeling. However, as organizations continue to scale and their data ecosystems grow more complex, effectively managing enterprise BI systems has become a critical challenge. This book, Managing Enterprise Business Intelligence: A Comprehensive Guide, aims to provide readers with a thorough understanding of how to design, implement, and manage a successful enterprise BI strategy. It is designed for business leaders, IT professionals, data analysts, and BI managers who are seeking to navigate the challenges of managing BI systems at an enterprise level. Whether you are in the initial stages of adopting BI or looking to optimize an existing system, this book provides both the foundational knowledge and advanced strategies necessary for success. The first part of this book explores the fundamental concepts of Business Intelligence, including data integration, data governance, and the several types of BI tools and technologies available. It delves into how BI fits into the broader context of enterprise data management, and how to align BI strategies with organizational goals. With BI being a critical driver of organizational decision-making, it is crucial that businesses understand how to effectively leverage these tools to maximize value. As we move further into the book, we dive deep into the practicalities of managing an enterprise BI environment. We examine the organizational aspects of BI management, including the roles of BI teams, collaboration across departments, and fostering a data-driven culture. Building a strong data governance framework is also crucial, as it ensures the quality, consistency, and security of the data being used for decision-making. This section addresses the importance of data stewardship and compliance, which is particularly critical in today’s regulatory landscape. Next, we turn our attention to technology and infrastructure. From data warehousing and ETL (Extract, Transform, Load) processes to cloud-based BI solutions and real-time analytics, we cover the technologies that support BI platforms, and the steps involved in integrating and managing these tools within an organization’s infrastructure. The rapid adoption of cloud computing and big data technologies has redefined how businesses manage and process large volumes of data. This book discusses how to evaluate and implement the right mix of on-premises and cloud-based solutions, and how to scale BI environments to meet the growing needs of enterprise users. We also address the challenges of user adoption and training, which are often barriers to the successful implementation of BI solutions. We discuss best practices for engaging users across all levels of the organization and ensuring that BI tools are used effectively to inform decisions. Additionally, we explore how organizations can foster a culture that encourages data literacy and empowers individuals at all levels to leverage BI for strategic insights. Finally, this book covers advanced BI topics, such as AI-driven analytics, predictive and prescriptive modeling, and the integration of BI with machine learning and data science. As enterprises continue to evolve and their data environments become more sophisticated, the ability to incorporate advanced analytics and integrate BI with broader enterprise technologies will be key to gaining a competitive advantage. The objective of this book is not only to provide practical guidance for managing BI at an enterprise level but also to give readers a strategic understanding of how BI impacts organizational performance. Whether you oversee a BI department, a data management team, or a business unit, you will find actionable insights that will help you drive the adoption and success of your BI initiatives. In an era where data is the new oil, managing enterprise business intelligence is more critical than ever. This guide offers both a roadmap and practical solutions to empower businesses to unlock the full potential of their data and transform it into insights that lead to better decision-making, improved efficiency, and sustainable growth. Welcome to a journey of mastering enterprise Business Intelligence, unlocking its true potential, and transforming the way your organization uses data to stay competitive in the digital age. Authors
Machine Learning System Design
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Author : Valerii Babushkin
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25
Machine Learning System Design written by Valerii Babushkin and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. In Machine Learning System Design: With end-to-end examples you will learn: The big picture of machine learning system design Analyzing a problem space to identify the optimal ML solution Ace ML system design interviews Selecting appropriate metrics and evaluation criteria Prioritizing tasks at different stages of ML system design Solving dataset-related problems through data gathering, error analysis, and feature engineering Recognizing common pitfalls in ML system development Designing ML systems to be lean, maintainable, and extensible over time Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Machine learning system design is complex. The successful ML engineer needs to navigate a multistep process that demands skills from many different fields and roles. This one-of-kind-guide starts by showing you the big picture and then guides you step by step through a framework for creating successful systems. You'll learn to excel at delivering for global objectives, diving locally into tools, and combining your knowledge into an integrated vision. About the book In Machine Learning System Design: With end-to-end examples you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of the life cycle is covered, from information gathering to keeping your system well-serviced. Each stage includes its own handy checklist of requirements and is fully illustrated with real-world examples, including interesting anecdotes from the author's own careers. You'll follow two example companies each building a new ML system, exploring how their needs are expressed in design documents and learning best practices by writing your own. Along the way, you'll learn how to ace ML system design interviews, even at highly competitive FAANG-like companies, and improve existing ML systems by identifying bottlenecks and optimizing system performance. About the reader For readers who know the basics of both software engineering and machine learning. Examples in Python. About the author Arseny Kravchenko is a seasoned ML engineer with a proven track record of building and optimizing reliable ML systems for startups, including real-time video processing, manufacturing optimization, and financial transactions analysis. Valerii Babushkin is an accomplished data science leader with extensive experience in the tech industry. He currently serves as the VP of Data Science at Blockchain.com, where he is responsible for leading the company's data-driven initiatives. Prior to joining Blockchain.com, Valerii held key roles at leading tech companies, such as Facebook, Alibaba, and X5 Retail Group.
Performance Evaluation And Benchmarking
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Author : Raghunath Nambiar
language : en
Publisher: Springer
Release Date : 2011-01-19
Performance Evaluation And Benchmarking written by Raghunath Nambiar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-19 with Computers categories.
This book constitutes the proceedings of the Second Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2010, held in conjunction with the 36th International Conference on Very Large Data Bases, VLDB 2010, in Singapore, September 13-17, 2010. The 14 full papers and two keynote papers were carefully selected and reviewed from numerous submissions. This book considers issues such as appliance; business intelligence; cloud computing; complex event processing; database optimizations; data compression; energy and space efficiency, green computing; hardware innovations; high speed data generation; hybrid workloads; very large memory systems; and virtualization.
Aws Glue For Data Engineers
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-02-02
Aws Glue For Data Engineers written by Robert 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 2025-02-02 with Computers categories.
"AWS Glue for Data Engineers: Serverless ETL Made Easy" is an indispensable resource for data engineers seeking to master the art of efficient data integration and transformation in the cloud. This comprehensive guide provides an in-depth exploration of AWS Glue, a powerful tool that streamlines the extract, transform, and load (ETL) processes. Whether you are a novice or an experienced professional, this book is structured to enhance your understanding, covering everything from setup and configuration to advanced features and integrations with other AWS services. Within its pages, readers will discover seamless ways to optimize workflows, harness the full potential of serverless computing, and ensure robust data security and compliance. The book artfully combines practical insights with best practices, guiding you through the complexities of ETL with clear, step-by-step instructions. With real-world use cases and practical examples, it provides a robust framework for leveraging AWS Glue’s capabilities to drive your data engineering tasks, offering solutions to common challenges faced in modern data ecosystems. "AWS Glue for Data Engineers" is not just a technical manual; it’s a strategic roadmap for data professionals striving to enhance their skills in the rapidly evolving field of cloud computing. By adopting its methodologies, you can optimize your ETL workflows, reduce costs, and increase efficiency. Equip yourself with the knowledge to transform your data management practices and create scalable, dynamic systems that meet today’s business demands. Let this book be your guide to unlocking new efficiencies and innovations in your data engineering journey.
Intelligent Computing
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2021-07-06
Intelligent Computing written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with Technology & Engineering categories.
This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.
Sql Server 2012 Integration Services Design Patterns
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Author : Andy Leonard
language : en
Publisher: Apress
Release Date : 2012-10-23
Sql Server 2012 Integration Services Design Patterns written by Andy Leonard and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-23 with Computers categories.
SQL Server 2012 Integration Services Design Patterns is a book of recipes for SQL Server Integration Services (SSIS). Design patterns in the book show how to solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, using design patterns improves your efficiency as an SSIS developer. In SSIS Design Patterns, we take you through several of these snippets in detail, providing the technical details of the resolution. SQL Server 2012 Integration Services Design Patterns does not focus on the problems to be solved; instead, the book delves into why particular problems should be solved in certain ways. You'll learn more about SSIS as a result, and you'll learn by practical example. Where appropriate, SQL Server 2012 Integration Services Design Patterns provides examples of alternative patterns and discusses when and where they should be used. Highlights of the book include sections on ETL Instrumentation, SSIS Frameworks, and Dependency Services. Takes you through solutions to several common data integration challenges Demonstrates new features in SQL Server 2012 Integration Services Teaches SSIS using practical examples
Database Management For Efficient Operations
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Author : James Fulton
language : en
Publisher: Fulton Publishing Agency
Release Date :
Database Management For Efficient Operations written by James Fulton and has been published by Fulton Publishing Agency this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Database Management for Efficient Operations is a comprehensive guide that explores best practices in database management to enhance organizational efficiency. The book delves into various database models, emphasizes the importance of data integrity and security, and offers practical strategies for optimizing performance. Through real-world case studies and actionable insights, it highlights the role of effective database management in decision-making and operational processes. Readers will gain a solid understanding of how to leverage database technologies to streamline workflows, reduce costs, and improve overall business outcomes, making it an essential resource for professionals in the field.
The Data Warehouse Lifecycle Toolkit
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Author : Ralph Kimball
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-08
The Data Warehouse Lifecycle Toolkit written by Ralph Kimball and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-08 with Computers categories.
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.