Elt Architecture And Implementation
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Elt Architecture And Implementation
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-14
Elt Architecture And Implementation 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 2025-06-14 with Computers categories.
"ELT Architecture and Implementation" "ELT Architecture and Implementation" is a comprehensive guide for data professionals seeking a deep understanding of the Extract, Load, Transform (ELT) paradigm in modern data engineering. The book begins by exploring the evolution from traditional ETL to ELT, carefully dissecting architectural paradigms and highlighting the drivers behind this pivotal shift in large-scale data processing. Through clear explanations and detailed comparisons, readers are equipped to discern when and why ELT is the optimal choice, particularly in cloud-native analytics and big data environments. Delving into implementation, the book covers every stage of the ELT pipeline—data extraction, loading, transformation, and automation. Readers gain practical insights into source integration, scalable ingestion patterns, robust data staging, and advanced in-database processing models. Notably, it unpacks sophisticated practices for ensuring data quality, security, and governance, alongside pragmatic guidance for orchestrating and monitoring resilient, automated pipelines at scale. Real-world scenarios illustrate challenges such as schema evolution, performance tuning, and error recovery, ensuring readers can confidently design and operate high-throughput data workflows. Beyond foundational techniques, the book explores forward-looking topics including ELT for machine learning, real-time analytics, and data lakehouse architectures. Practical case studies show lessons learned from enterprise deployments and migrations, while emerging trends spotlight the impact of AI-powered automation in ELT workflows. With its blend of architectural rigor, technical detail, and future-focused perspective, "ELT Architecture and Implementation" is an indispensable reference for architects, engineers, and data leaders navigating the dynamic landscape of contemporary data platforms.
Database Design Application Development And Administration
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Author : Michael Mannino
language : en
Publisher: SAGE Publications
Release Date : 2018-09-01
Database Design Application Development And Administration written by Michael Mannino and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Business & Economics categories.
Formerly published by Chicago Business Press, now published by Sage Database Design, Application Development, and Administration, Seventh Edition, offers a comprehensive understanding of database technology. Author Michael Mannino equips students with the necessary tools to grasp the fundamental concepts of database management, and then guides them in honing their skills to solve both basic and advanced challenges in query formulation, data modeling, and database application development.
Getting Started With Oracle Data Integrator 11g
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Author : David Hecksel
language : en
Publisher: Packt Publishing Ltd
Release Date : 2012-01-01
Getting Started With Oracle Data Integrator 11g written by David Hecksel 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 2012-01-01 with Computers categories.
Combine high volume data movement, complex transformations and real-time data integration with the robust capabilities of ODI in this practical guide.
Essential Solutions Architect S Handbook
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Author : Bikramjit Debnath
language : en
Publisher: BPB Publications
Release Date : 2025-04-30
Essential Solutions Architect S Handbook written by Bikramjit Debnath and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
DESCRIPTION In an era where cloud computing, AI, and automation are reshaping industries, this book offers a comprehensive guide for IT professionals seeking to master modern software architecture. It will help bridge the gap between technical expertise and strategic leadership, empowering developers and mid-career professionals to stay ahead in an AI-driven, cloud-first world. Structured into six categories, this book covers key areas such as cloud foundations and migration, modern application development, and AI and advanced technologies. Readers will learn strategies for seamless cloud migration, microservices, serverless computing, and real-time data processing. This book will also provide insights into AI architecture, MLOps, and cloud data warehousing. The book’s focus on infrastructure automation, observability, and FinOps ensures operational efficiency while preparing you for future technological trends like hybrid/multi-cloud strategies, quantum computing, and sustainable IT practices. After reading this book, readers will have gained practical skills in cloud architecture, AI deployment, and data-driven decision-making. With strategic insights and industry best practices, they will be well-equipped to take on leadership roles such as solution architect, enterprise architect, or CTO, driving innovation and shaping the future of technology in their organizations. WHAT YOU WILL LEARN ● Understand solution architecture principles and design scalable solutions. ● Learn cloud migration strategies, including data center and application assessments. ● Explore modern application design practices like microservices and serverless. ● Master data management, governance, and real-time data processing techniques. ● Gain insights into generative AI, AI operationalization, and MLOps. ● Automate infrastructure with IaC, observability, and site reliability engineering. WHO THIS BOOK IS FOR This book is designed for experienced cloud engineers, cloud developers, systems administrators, and solutions architects who aim to expand their expertise toward a CTO-level understanding. It is perfect for professionals with intermediate to advanced knowledge of cloud technologies, systems architecture, and programming, seeking to elevate their strategic and technical skills. TABLE OF CONTENTS 1. Introduction to Solution Architecture 2. Cloud Migration Essentials 3. Operational Excellence in Cloud 4. Modern Application Architecture 5. Development Practices and Tools 6. Data Architecture and Processing 7. Data Strategy and Governance 8. Advanced Analytics 9. Generative AI and Machine Learning 10. Automation and Infra Management 11. FinOps Foundations 12. Security, Privacy, and Ethics 13. Innovation and Future Technologies 14. CTO’s Playbook for Transformation APPENDIX: Additional Resources for Further Learning
Business Intelligence Guidebook
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Author : Rick Sherman
language : en
Publisher: Newnes
Release Date : 2014-11-04
Business Intelligence Guidebook written by Rick Sherman and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-04 with Computers categories.
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.
Managing Data In Motion
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Author : April Reeve
language : en
Publisher: Newnes
Release Date : 2013-02-26
Managing Data In Motion written by April Reeve and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-26 with Computers categories.
Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. - Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types - Explains, in non-technical terms, the architecture and components required to perform data integration - Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"
Case Studies In Strategic Management A Practical Approach
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Author : Sanjay Mohapatra
language : en
Publisher: Pearson Education India
Release Date : 2011
Case Studies In Strategic Management A Practical Approach written by Sanjay Mohapatra and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Azure Data Factory By Example
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Author : Richard Swinbank
language : en
Publisher: Springer Nature
Release Date : 2024-03-22
Azure Data Factory By Example written by Richard Swinbank and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Computers categories.
Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components. This edition, updated for 2024, includes the latest developments to the Azure Data Factory service: Enhancements to existing pipeline activities such as Execute Pipeline, along with the introduction of new activities such as Script, and activities designed specifically to interact with Azure Synapse Analytics. Improvements to flow control provided by activity deactivation and the Fail activity. The introduction of reusable data flow components such as user-defined functions and flowlets. Extensions to integration runtime capabilities including Managed VNet support. The ability to trigger pipelines in response to custom events. Tools for implementing boilerplate processes such as change data capture and metadata-driven data copying. What You Will Learn Create pipelines, activities, datasets, and linked services Build reusable components using variables, parameters, and expressions Move data into and around Azure services automatically Transform data natively using ADF data flows and Power Query data wrangling Master flow-of-control and triggers for tightly orchestrated pipeline execution Publish and monitor pipelines easily and with confidence Who This Book Is For Data engineers and ETL developers taking their first steps in Azure Data Factory, SQL Server Integration Services users making the transition toward doing ETL in Microsoft’s Azure cloud, and SQL Server database administrators involved in data warehousing and ETL operations
Database Design Query Formulation And Administration
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Author : Michael Mannino
language : en
Publisher: SAGE Publications
Release Date : 2022-09-15
Database Design Query Formulation And Administration written by Michael Mannino and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Business & Economics categories.
Formerly published by Chicago Business Press, now published by Sage Database Design, Query Formulation, and Administration, Eighth Edition, offers a comprehensive understanding of database technology. Author Michael Mannino equips students with the necessary tools to grasp the fundamental concepts of database management, and then guides them in honing their skills to solve both basic and advanced problems for operational databases and data warehouses in query formulation, database design, and administration. Features of the Eighth Edition: Unmatched SQL coverage in both breadth and depth Oracle and PostgreSQL coverage Problem-solving guidelines Sample databases and examples Normalization Physical database design Triggers Data modeling tools Data warehouse design Data integration NoSQL coverage Current and cutting-edge topics Comprehensive enough for multiple database courses
Xplenty Data Integration Architecture
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18
Xplenty Data Integration Architecture 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 2025-06-18 with Computers categories.
"Xplenty Data Integration Architecture" "Xplenty Data Integration Architecture" offers a comprehensive and authoritative exploration of the Xplenty platform, setting the stage with a critical examination of modern data integration strategies and Xplenty’s evolving role in this dynamic landscape. The book expertly traces the transition from traditional ETL practices to contemporary cloud-native integration frameworks, providing valuable architectural insights and business context. Through in-depth comparisons with leading competitors, it elucidates Xplenty’s unique strengths in scalability, extensibility, and seamless integration, further illustrated by real-world use cases and industry applications. Diving deeply into the technical architecture, the text meticulously unpacks both the logical and physical constructs of Xplenty. Readers gain a thorough understanding of data and control flows, deployment models, cluster management, and the platform’s powerful orchestration engine. Key architectural attributes such as connector frameworks, pipeline modularity, organizational multi-tenancy, and observability are examined alongside advanced topics including parallelism, change data capture, data lineage, and quality assurance. Each concept is grounded in practical advice for designing maintainable, high-performance, and secure data workflows across increasingly complex ecosystems. The book’s scope extends to the enterprise-wide challenges of integrating a multitude of data sources and destinations—ranging from relational and NoSQL databases to cloud platforms, event streams, SaaS APIs, and edge devices. Readers are guided through best practices for security, compliance, and governance, with special attention to encryption, auditing, data masking, and regulatory requirements. Emphasizing operational excellence, the work addresses cost optimization, CI/CD automation, and robust DevOps strategies. Finally, it anticipates the future of data integration, spotlighting trends in serverless computing, machine learning, hybrid/multi-cloud design, IoT, real-time streaming, and API-driven innovation, making it an essential resource for data engineers, architects, and technology leaders.