Essential Apache Beam
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Essential Apache Beam
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-06
Essential Apache Beam 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 2025-06-06 with Computers categories.
"Essential Apache Beam" "Essential Apache Beam" is a definitive guide for practitioners and architects seeking to master the design, implementation, and optimization of data processing pipelines using Apache Beam. This comprehensive resource illuminates the unified programming model at the heart of Beam, encompassing both batch and streaming data processing. It meticulously examines core abstractions such as Pipelines, PCollections, and PTransforms, offering clear guidance on SDK selection, portability across execution engines, and practical insights into the lifecycle of a pipeline. Readers are introduced to the broader Beam ecosystem and will gain a deep understanding of community-driven innovations shaping the landscape of modern data engineering. Bridging theory and practice, the book provides actionable strategies for end-to-end pipeline design: from ingesting data from diverse sources to writing reliable outputs, managing schema evolution, and developing custom IO connectors for unique environments. Advanced chapters explore robust transformations, event-time semantics, windowing, stateful and timely processing, and real-time streaming pipeline patterns. The text delves into performance tuning, parallelism, autoscaling, and cost optimization for cloud deployments, equipping engineers to build scalable and efficient solutions ready for production workloads. Complemented by dedicated sections on observability, testing, security, compliance, and disaster recovery, "Essential Apache Beam" presents readers with the tools to deliver resilient and secure data pipelines. Dozens of case studies and design patterns highlight Beam’s versatility across industries—covering topics from machine learning workflows to continuous integration and delivery best practices. Whether you are building your first pipeline or architecting a production-scale deployment, this book serves as an indispensable reference for unleashing the full power of Apache Beam in real-world analytics and processing challenges.
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.
Influxdb Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09
Influxdb 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.
"InfluxDB Essentials" InfluxDB Essentials is a comprehensive guide for anyone seeking to harness the full potential of InfluxDB, the industry-leading time series database. The book begins by establishing a robust foundation in the principles of time series data, exploring its unique properties, architectural considerations, and the comparative strengths of InfluxDB versus other popular time series databases. Practical industry use cases in IoT, observability, finance, and scientific monitoring are presented, along with an insightful discussion on the challenges of large-scale time series storage and emerging trends in data management. Delving deep into the architecture and operational mechanics of InfluxDB, this book offers readers clear, practical guidance on schema design, performance tuning, and high-availability deployments—covering everything from core components such as the storage engine and write-ahead log to strategies for data ingestion, retention, clustering, and security. Advanced chapters navigate through data integration pipelines, optimal ingestion approaches, precise time synchronization, and real-world strategies for handling late, duplicate, or out-of-order data. Readers will also benefit from extensive coverage of advanced querying and analytics capabilities, performance and reliability optimization, rigorous backup and disaster recovery methodologies, and sophisticated security and compliance strategies. The book concludes by showcasing ecosystem integrations, observability enablers, and the future trajectory of InfluxDB in cutting-edge applications like serverless computing, edge analytics, machine learning, and global-scale deployments. Whether you are a developer, data engineer, or architect, InfluxDB Essentials is your indispensable companion for building scalable, secure, and intelligent time series data solutions.
Sqoop Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-06
Sqoop 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 2025-06-06 with Computers categories.
"Sqoop Essentials" "Sqoop Essentials" is a comprehensive guide to mastering data ingestion and export in Hadoop-based ecosystems, with a special focus on Apache Sqoop. The book begins by articulating the critical business drivers behind data movement in big data architectures, unpacking historical context and use cases that have positioned Sqoop as a keystone tool for seamless information exchange between relational databases and distributed storage. With clear explanations of Sqoop’s architecture and integration within modern ETL and data pipeline frameworks, this guide allows both newcomers and experienced professionals to understand the technical nuances and best practices essential for reliable and scalable data management. Throughout its chapters, the book offers an in-depth exploration of Sqoop’s technical inner workings, including its robust connector framework, command-line interface, and MapReduce-powered parallelization capabilities. Readers are led step-by-step through advanced import and export techniques—covering incremental synchronization, performance tuning, schema mapping, and strategies for handling failure recovery. Integration scenarios extend to Hadoop ecosystem mainstays like Hive, HBase, and Airflow, ensuring practitioners know how to automate, secure, and optimize data flows across both on-premises and cloud-native infrastructures. Rich guidance on security, auditing, multi-tenancy, and governance ensures that enterprise compliance, resource management, and operational resilience are never compromised. The concluding chapters address tomorrow’s challenges, guiding architects and engineers through migration strategies, the adoption of serverless or streaming alternatives, and the evolving landscape of data movement platforms. With real-world case studies, production best practices, and insights into emerging trends, "Sqoop Essentials" equips readers to make informed decisions in choosing, implementing, or extending data integration solutions. Whether you are building scalable ETL pipelines or future-proofing your data strategy, this book serves as a definitive resource for harnessing the full potential of Sqoop in dynamic, hybrid data environments.
Openedge Application Development Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-19
Openedge Application 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.
"OpenEdge Application Development Essentials" "OpenEdge Application Development Essentials" offers a comprehensive, in-depth guide for developers and architects seeking mastery over the OpenEdge platform. Structured around modern enterprise requirements, this book explores OpenEdge from architecture and deployment models through to performance, security, and sophisticated DevOps automation. Readers are introduced to core concepts like PAS for OpenEdge, containerization, high availability, and contemporary monitoring practices, empowering them to design resilient, scalable, and future-ready systems. With expert coverage of Advanced Business Language (ABL), the book dives into advanced syntax, object-oriented techniques, dynamic programming, and performance optimization, making it indispensable for those aiming to build robust business logic. The database design and data access strategies section balances practical schema design, query tuning, and consistency models, ensuring data-driven applications achieve both reliability and speed. Front-end development is equally addressed, with detailed guidance on GUI, web, and mobile interfaces—highlighting usability, accessibility, and automated testing. The latter chapters guide readers through service-oriented architecture, API development, and secure communications, equipping them for integration and modernization challenges. Advanced focus on CI/CD, infrastructure as code, and OpenEdge-specific security engineering prepares organizations for enterprise-grade compliance and operational excellence. Finally, strategies for interoperability, cloud enablement, and modernization make this book an authoritative resource for navigating the evolving landscape of OpenEdge application development.
Kinesis Stream Processing Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01
Kinesis Stream Processing 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.
"Kinesis Stream Processing Essentials" "Kinesis Stream Processing Essentials" is a comprehensive guide for architects, engineers, and data professionals seeking to master real-time stream processing with Amazon Kinesis and its ecosystem. The book begins by grounding the reader in the fundamentals of streaming architectures and the evolution from batch to real-time systems, followed by an expansive exploration of Kinesis components—Streams, Firehose, Analytics, and Video Streams—and their practical roles within modern AWS-centric data platforms. Foundational topics include core concepts such as shards, records, partitioning, and access control, as well as in-depth technical comparisons with alternative streaming technologies like Apache Kafka and Google Pub/Sub. Delving into advanced engineering practices, the book meticulously covers scalable data ingestion, the design of robust producer architectures, and schema management with modern serialization formats. Readers are guided through the intricacies of real-time analytics using Kinesis Data Analytics, including stream enrichment, late-arriving data handling, and stateful computations, with actionable patterns for fault tolerance and high observability. Downstream consumption is addressed with practical patterns for scaling consumers, integrating with AWS Lambda and serverless frameworks, and efficiently delivering streaming data into data lakes, analytics tools, and other AWS services. Beyond core processing, "Kinesis Stream Processing Essentials" offers an authoritative exposition of mission-critical topics such as security, compliance, capacity planning, operations, and CI/CD integration for streaming pipelines. Chapters on privacy-preserving architectures, security automation, and regulatory compliance provide essential guidance for building secure, audit-ready solutions. The book concludes by mapping out cutting-edge trends: from machine learning on streaming data and data mesh architectures to multi-cloud patterns, cross-region replication, and the growing importance of AI-driven, autonomous streaming pipelines—serving as the definitive resource for developing resilient, future-proof Kinesis solutions.
Fundamental Of Data Science And Big Data Analytics
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Author : N. Narayanan Prasanth
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-11-29
Fundamental Of Data Science And Big Data Analytics written by N. Narayanan Prasanth and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Study Aids categories.
The book provides a thorough, accessible, and current comprehension of Big Data for both business people and engineers. This book presents essential ideas, theories, terminology, and technologies related to Big Data. It also covers important analysis and analytics approaches. The information is rationally organized, given in clear and simple language, and backed with easily comprehensible examples. The objective of “Fundamentals of Data Science and Big Data Science” is to enhance decision-making by analyzing data. Currently, data science plays a crucial role in determining the advertisements that appear on the internet, the recommendations you get for books and films, the classification of emails into your spam folders, as well as the pricing of health insurance. This book provides a brief description of the developing discipline of data science, elucidating its progression, present applications, data infrastructure concerns, and legal issues. The text adopts a conversational tone and stays clear of complex mathematical ideas often associated with data science, instead focusing on straightforward explanations and real-world use cases. Upon concluding the book, readers will have acquired proficiency in controlling data, using data in the context of business challenges, and implementing optimal methodologies for data analysis. This book functions as a practical guide for Science/Engineering/MBA students, including both undergraduate and graduate students, who have an interest in the field of Data Science.
Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025
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Author : AUTHOR-1: Vamsi Krishna Koganti, AUTHOR-2: Dr.Gauri Shanker Kushwaha
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Cloud Native Financial Systems From Legacy To Real Time Intelligence 2025 written by AUTHOR-1: Vamsi Krishna Koganti, AUTHOR-2: Dr.Gauri Shanker Kushwaha 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 Cloud-Native Financial Systems: From Legacy to Real-Time Intelligence presents a comprehensive roadmap for transforming traditional financial infrastructures into agile, resilient, and intelligent systems using cloud-native principles. As the financial industry undergoes unprecedented digital disruption, institutions are compelled to modernize core systems, embrace real-time processing, and meet the growing demands for security, interoperability, and innovation. This book serves as a strategic and technical guide for IT leaders, cloud architects, developers, compliance officers, and financial technology professionals driving this transformation. The financial sector faces a dual challenge: retaining trust through reliability and compliance while accelerating the delivery of new, intelligent products in an increasingly competitive digital ecosystem. Traditional monolithic architectures, legacy batch processing systems, and siloed databases no longer meet the expectations of real-time insights, 24/7 accessibility, and scalable innovation. Cloud-native technologies—comprising containerization, microservices, serverless computing, API-first design, DevSecOps, and AI/ML—offer the foundation to not only re-architect aging platforms but also reimagine financial services for the future. This book is structured to follow the logical arc of digital transformation. Chapter 1 sets the stage with an introduction to the need and impact of cloud-native adoption in finance. Chapter 2 explores the constraints and opportunities within legacy systems. Chapter 3 details cloud architecture principles tailored to financial workloads. Chapter 4 and Chapter 5 dive into the technologies of containerization and real-time data processing. Chapter 6 emphasizes API-first design, while Chapter 7 tackles critical concerns around security, compliance, and governance. In Chapter 8, we explore the power of cloud-native data lakes in extracting financial intelligence. Chapter 9 explains DevOps and CI/CD strategies within highly regulated environments. Chapter 10 introduces intelligent automation through AI/ML, and finally, Chapter 11 focuses on business continuity, resilience, and observability as foundational pillars of trust and uptime. Whether you’re modernizing a legacy banking core, building fintech platforms from scratch, or engineering intelligent analytics pipelines, this book will help you understand not only what needs to change—but how to design, implement, and scale cloud-native systems that are compliant, scalable, and future-ready. Authors
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.
The Kubeflow Handbook
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-05
The Kubeflow Handbook 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 2025-01-05 with Computers categories.
"The Kubeflow Handbook: Streamlining Machine Learning on Kubernetes" is a comprehensive guide tailored for individuals seeking to harness the power of Kubeflow within the Kubernetes ecosystem. Written by an expert in computer science and software engineering, this book delves deep into the essential components and processes that make Kubeflow an invaluable tool for managing machine learning workflows. From its architecture to practical applications across various industries, readers will be equipped with the knowledge and skills necessary to deploy, scale, secure, and optimize machine learning models efficiently. The handbook is meticulously structured to take readers from foundational concepts to advanced techniques, ensuring a thorough understanding of topics like Kubeflow Pipelines, model training and tuning, and serving and monitoring models. It also emphasizes the importance of security, compliance, and scalability, providing best practices and strategies to address the challenges of machine learning in production environments. With real-world case studies and step-by-step guidance, this book is an indispensable resource for data scientists, engineers, and IT professionals looking to elevate their machine learning initiatives using Kubeflow.