Prefect Workflow Orchestration Essentials
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Prefect Workflow Orchestration Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-24
Prefect Workflow Orchestration Essentials 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 2025-06-24 with Computers categories.
"Prefect Workflow Orchestration Essentials" "Prefect Workflow Orchestration Essentials" is a comprehensive guide to building, deploying, and managing robust data workflows with Prefect—a modern, flexible orchestration platform designed to meet the demands of today’s data engineering landscape. The book introduces readers to the foundational principles behind workflow orchestration, examining the evolution of orchestration tools and Prefect’s architectural strengths in comparison to alternatives like Airflow, Luigi, and Dagster. Readers will gain a strategic understanding of Prefect’s conceptual model, deployment modes, and security considerations, equipping them to select and architect solutions that scale gracefully in diverse environments. Moving from theory into hands-on practice, the book offers deep dives into Prefect’s programming model, execution internals, and reliability patterns. Readers are guided through crafting parameterized flows and tasks, designing advanced control flows with custom triggers, and implementing best practices for fault tolerance, state management, and result caching. Coverage extends to distributed execution, observability, and performance tuning, ensuring workflows remain resilient and responsive at scale. The book also addresses operational excellence, laying out strategies for monitoring, incident response, cost control, and continuous workflow improvement through real-world case studies. With an eye towards the future, "Prefect Workflow Orchestration Essentials" explores integrations with contemporary data and DevOps ecosystems, advanced customization techniques, and the imperatives of security, compliance, and data governance. The text concludes by examining cutting-edge developments such as serverless and edge orchestration, AI-driven workflow automation, and the evolution of open-source standards. Whether you’re a data engineer, DevOps professional, or architect, this book delivers a self-contained reference to mastering Prefect and advancing workflow orchestration in modern data platforms.
Trino Distributed Sql Query Engine Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01
Trino Distributed Sql Query Engine Essentials 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 2025-06-01 with Computers categories.
"Trino Distributed SQL Query Engine Essentials" "Trino Distributed SQL Query Engine Essentials" offers a comprehensive dive into the architectural foundations, internal mechanics, and advanced capabilities of Trino, the premier open-source engine for distributed SQL analytics. Starting from the core principles of distributed systems, this title unpacks Trino’s coordinator and worker node architecture, detailing how robust scheduling, node management, high availability, and fault tolerance coalesce to deliver resilient, scalable query processing across clusters of any size. With in-depth discussions on system topology, session handling, resource isolation, and cluster operations, readers are expertly guided through what it takes to run Trino effectively in dynamic, real-world environments—whether on-premises, in the cloud, or in hybrid deployments. The book then transitions to the intricacies of Trino’s SQL engine internals, exploring every phase from parsing and logical plan construction to distributed execution, memory management, and error recovery. It delves into the extensibility of Trino’s connector architecture, illuminating how to integrate with a wide array of data sources—including Hive, Cassandra, RDBMS, and real-time platforms—while maintaining rigorous transactional semantics and security. Advanced sections illuminate techniques for query optimization, performance engineering, workload management, and data locality, alongside practical examples of caching, predicate pushdown, and load balancing to ensure queries execute with maximum efficiency. Beyond technical internals, "Trino Distributed SQL Query Engine Essentials" addresses modern enterprise demands for security, compliance, and observability. Readers will find practical guidance on authentication, authorization, encryption, auditing, and regulatory adherence. The final chapters provide invaluable insights into advanced integrations—spanning federated queries, data lakehouses, BI tools, and machine learning pipelines—plus actionable patterns, anti-patterns, monitoring strategies, and real-world case studies. For practitioners and architects seeking to master Trino, contribute to its open-source evolution, or unlock its full ecosystem potential, this book delivers the clarity, depth, and practical wisdom to lead data-driven transformation at scale.
Anaconda Distribution Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Anaconda Distribution Essentials 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 Computers categories.
"Anaconda Distribution Essentials" "Anaconda Distribution Essentials" is a comprehensive, authoritative guide devoted to mastering the Anaconda platform—the leading open-source distribution for scientific computing and data science. Delving deeply into the architecture and ecosystem, the book articulates the philosophical underpinnings and technical intricacies that have shaped Anaconda’s evolution, from its core components like Conda and Navigator to its seamless integration with foundational scientific libraries such as NumPy, SciPy, and Pandas. Readers will gain a thorough understanding of the distribution’s robust channel infrastructure, cross-language support, and its pivotal role in both open source communities and enterprise environments. The guide moves systematically from foundational concepts to advanced practices, empowering professionals to navigate complex installation strategies, manage scalable deployments, and craft reproducible, collaborative environments for both individual and large-scale organizational needs. Through expert treatment of Conda environment management, package customization, secure collaboration, and best-in-class approaches for data science workflow optimization, the book provides actionable techniques for addressing real-world challenges. Topics such as containerized deployments, integration with CI/CD pipelines, and performance tuning for computational scalability are presented with clarity, making the content accessible yet thorough for IT leaders, data scientists, and system administrators alike. With in-depth chapters on security, compliance, and environment isolation, "Anaconda Distribution Essentials" also addresses the increasing demands for vulnerability management and regulatory conformance in today's data-centric enterprises. The work culminates in insightful case studies, forward-looking analyses, and interviews with core Anaconda engineers—offering critical perspectives on large-scale adoption, innovation, and the evolving future of data science infrastructure. Both a reference and a roadmap, this book is an indispensable resource for organizations and practitioners seeking to maximize the impact and reliability of their analytics platforms.
Data Engineering
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Author : Phil Gilberts
language : en
Publisher: Freegulls Publishing House
Release Date :
Data Engineering written by Phil Gilberts and has been published by Freegulls Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Welcome to the world of data engineering, where the raw material of the digital age—data—is transformed into actionable insights that drive decisions, innovations, and advancements across industries. This book is your gateway into understanding and mastering the essential principles, practices, and technologies that underpin the field of data engineering. In today's data-driven economy, organizations increasingly rely on robust data infrastructures and efficient data pipelines to harness the power of information. Data engineering is the backbone of this infrastructure, encompassing the design, implementation, and maintenance of systems that enable the collection, storage, and processing of vast amounts of data. This book is designed as a comprehensive guide for anyone seeking to embark on a journey into data engineering or looking to deepen their understanding of its intricacies. Whether you are a seasoned data professional, a software engineer transitioning into data roles, or a student eager to explore the forefront of technological innovation, this book will equip you with the knowledge and skills necessary to navigate the complexities of modern data ecosystems. Each chapter is crafted to provide a blend of theoretical foundations, practical insights, and hands-on examples to help you on your way. So, let’s get started!
Mapbox Development Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-19
Mapbox Development Essentials 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 2025-06-19 with Computers categories.
"Mapbox Development Essentials" Mapbox Development Essentials is the definitive guide for developers, architects, and geospatial professionals seeking a comprehensive, hands-on understanding of the Mapbox ecosystem. The book begins with a detailed exploration of digital mapping’s evolution and Mapbox’s pivotal role, delving into platform architecture, core APIs and SDKs, advanced rendering pipelines, and vital topics such as security, privacy, and licensing. Readers will gain an expert’s perspective on integrating Mapbox into modern geospatial stacks, ensuring robust, scalable, and secure deployment for enterprise and commercial use. Moving beyond fundamentals, the book offers an in-depth treatment of advanced map styling, data-driven cartography, and the creation of sophisticated user experiences using Mapbox Studio and the Style Specification. It covers the end-to-end pipeline of geospatial data management, including tile generation, real-time ingestion, and complex spatial analytics, while emphasizing ethical data governance. Step-by-step chapters address seamless web and mobile application development, from high-performance visualizations and application-driven UI to efficient offline mapping and secure mobile deployments. Rounding out its coverage, Mapbox Development Essentials addresses cloud integration, custom plugin architectures, and rigorous testing and performance practices, equipping readers to deliver and maintain production-grade geospatial solutions. The book closes with a forward-looking examination of emerging trends such as AI-powered spatial intelligence, indoor mapping, IoT, ethics, and climate-focused use cases, making it an indispensable resource for anyone building the next generation of mapping applications.
Domo Platform Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-20
Domo Platform Essentials 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 2025-06-20 with Computers categories.
"Domo Platform Essentials" "Domo Platform Essentials" is a comprehensive guide designed for data professionals, solution architects, and decision-makers seeking to unlock the full potential of Domo’s enterprise cloud platform. This expertly structured book provides a deep dive into the core architecture, advanced data integration techniques, and robust security frameworks that underpin the Domo ecosystem. Beginning with the fundamentals of platform design and high-availability strategies, the text lays a clear foundation for understanding how Domo can be leveraged for scalable, secure, and resilient analytics in any organizational context. Progressing through the chapters, readers are introduced to advanced concepts in data connectivity, real-time ingestion, and complex data transformation using Domo’s native tools and APIs. The book emphasizes best practices in data governance, compliance, and performance optimization—ensuring that both operational efficiency and regulatory standards are met. Detailed coverage of analytics, self-service BI enablement, and sophisticated dashboard visualizations empowers users to transform raw data into actionable insights while upholding the highest standards of data quality and security. In the later sections, "Domo Platform Essentials" explores extensibility through custom app development, serverless integrations, and the use of SDKs for tailored solutions. The guide concludes with forward-looking perspectives on AI, machine learning, IoT integration, and the growing Domo ecosystem, providing invaluable resources for future-proofing and driving innovation within data-driven organizations. Whether you are planning an initial Domo deployment or optimizing a large-scale enterprise environment, this book serves as an authoritative, end-to-end reference for mastering the Domo platform.
Quicksight Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-08
Quicksight Essentials 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 2025-06-08 with Computers categories.
"QuickSight Essentials" Unlock the full potential of AWS QuickSight with "QuickSight Essentials," a comprehensive guide for analytics professionals, architects, and data leaders seeking to master cloud-native business intelligence. This book offers unparalleled depth, starting with the foundational architecture of QuickSight and covering everything from the SPICE engine internals and AWS integrations to best practices for high availability, security, and scalability. Readers will gain intimate familiarity with QuickSight’s networking, service editions, and seamlessly integrated AWS ecosystem, ensuring robust, enterprise-ready deployments. Moving beyond the foundations, "QuickSight Essentials" dives into advanced data connectivity, governance, and preparation. Discover how to securely connect to diverse data sources—on-premises and in the cloud—while implementing fine-grained data access controls and comprehensive auditing for regulatory compliance. The book explores state-of-the-art techniques for data modeling, preparation, and performance tuning, empowering readers to work with structured and semi-structured data at scale. Through practical guidance on metadata management, lineage, and real-time data refresh, you’ll be equipped to drive accurate, high-performance analytics. At its core, this essential resource bridges theory with actionable practice—covering advanced visualization, parameterization, automation via DevOps, and embedded analytics for productized BI solutions. Learn to optimize costs, scale resources efficiently, and extend QuickSight through custom integrations and AI enhancements. With dedicated chapters on compliance, operational excellence, and future trends such as generative AI and sustainability analytics, "QuickSight Essentials" provides a holistic blueprint for building resilient, modern analytics solutions and democratizing insights across your organization.
Essential Guide To Datastage Systems
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-28
Essential Guide To Datastage Systems 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 2025-05-28 with Computers categories.
"Essential Guide to DataStage Systems" The "Essential Guide to DataStage Systems" is a comprehensive and authoritative resource designed for architects, engineers, and administrators seeking to master the intricacies of IBM DataStage. This guide delves deeply into DataStage architecture, examining core system components, deployment models—including on-premises, cloud, and hybrid environments—and advanced strategies for scalability, high availability, and distributed configurations. Beginning with a rigorous exploration of the DataStage engine and its parallel processing framework, the book lays a solid technical foundation and progresses to address the end-to-end job execution lifecycle, ensuring readers develop a holistic understanding of enterprise-grade data integration systems. Through a sequence of meticulously structured chapters, the book covers best practices for designing efficient, reusable, and modular data pipelines. Readers will uncover advanced transformation techniques, optimization strategies, and automation patterns that elevate performance and reliability. The guide moves fluidly from integration with diverse data sources—including relational, NoSQL, cloud storage, and real-time streams—to robust metadata management, lineage tracking, and governance, with a keen focus on compliance mandates such as GDPR and HIPAA. Practical insights into testing, validation, monitoring, and error handling further equip practitioners to build resilient and transparent ETL workflows. Rounding out its comprehensive scope, the "Essential Guide to DataStage Systems" features incisive discussions on security, DevOps-driven automation, administration, and capacity planning. Topics such as authentication, granular access controls, audit logging, and proactive vulnerability management ensure that security is woven into every stage of the DataStage lifecycle. The closing chapters scan the evolving horizon, offering guidance on integrating DataStage with AI/ML pipelines, adopting serverless and containerized execution models, and extending DataStage across multi-cloud and microservices ecosystems. Rich with proven methods and future-focused insights, this guide is an indispensable companion for modern data integration professionals aiming to unlock the full potential of DataStage.
Dbeaver Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09
Dbeaver Essentials 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 2025-06-09 with Computers categories.
"DBeaver Essentials" DBeaver Essentials is a comprehensive guide for modern data professionals seeking to master every aspect of DBeaver, the acclaimed universal database tool. From its architectural foundations and modular design to its robust role in today’s diverse data ecosystems, this book provides critical insights into both the open-source community model and advanced enterprise features. Readers will gain a clear understanding of DBeaver’s place among cross-platform solutions, as well as expert guidance in managing releases, exploring the marketplace, and integrating with a wide array of relational, NoSQL, and cloud-native databases. Delving deeply into day-to-day operations, the book covers advanced connectivity frameworks, secure integrations, and sophisticated authentication mechanisms essential for enterprise environments. Learn best practices for driver management, cloud-native connectivity, VPN and SSH tunneling, and credential governance. User experience is addressed in detail, with chapters on multi-project management, advanced navigation, personalized theming, accessibility engineering, and workflow automation — empowering both individual practitioners and globally distributed teams. Beyond administration, DBeaver Essentials guides readers through proficient SQL scripting, reproducible analytics with notebook interfaces, and powerful visual schema modeling. Extensive sections are dedicated to streamlined data operations, robust ETL processes, secure data masking, and disaster recovery. The book also explores DevOps and cloud integrations, security and compliance frameworks, and tips for customization and automation through plugins, APIs, and task scheduling. Whether you are a database developer, data engineer, or administrator, this resource equips you with the methodical expertise and practical tools to maximize productivity and maintain secure, scalable, and collaborative database environments with DBeaver.
Sagemaker Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-31
Sagemaker Essentials 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 2025-05-31 with Computers categories.
"SageMaker Essentials" "SageMaker Essentials" offers a comprehensive guide to mastering Amazon SageMaker, the leading platform for machine learning at scale. This authoritative resource meticulously explores the platform’s architecture, seamlessly guiding readers through elastic infrastructure management, secure data integration, CI/CD pipeline integration, and best practices for leveraging SageMaker Studio and modern SDKs. Emphasizing enterprise needs, the book provides strategies for cost optimization, robust access management, and sustainable machine learning solutions, making it indispensable for organizations seeking operational efficiency in cloud-based AI deployments. With a keen focus on advanced data preparation, readers learn how to automate data wrangling, engineer reusable transformation pipelines, and proactively monitor data quality and drift. The book also delves into complex model training scenarios, such as distributed and multi-node training, hyperparameter optimization, and interactive experimentation, all while maintaining strict budgeting and resource usage control. The end-to-end lifecycle of machine learning, from data processing and labeling with Ground Truth to robust deployment strategies—including real-time, batch, and serverless inference—is covered with practical patterns and production-targeted guidance. Equipped for the demands of modern MLOps, "SageMaker Essentials" details the automation of ML pipelines, advanced monitoring and observability with CloudWatch, and compliance-driven security, governance, and auditability frameworks. Readers will benefit from chapters on hybrid architectures, event-driven workflows, federated learning, and extensibility with open-source and SaaS integrations. Detailed coverage of incident detection, automated remediation, and cost and environmental considerations round out this essential reference for data scientists, ML engineers, architects, and technology leaders committed to scaling secure, compliant, and efficient AI systems on AWS.