Efficient Workflow Orchestration With Oozie
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Efficient Workflow Orchestration With Oozie
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-05
Efficient Workflow Orchestration With Oozie 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 2025-06-05 with Computers categories.
"Efficient Workflow Orchestration with Oozie" "Efficient Workflow Orchestration with Oozie" is the definitive guide for data engineers, architects, and operations professionals who are looking to master end-to-end workflow orchestration in distributed big data environments. This comprehensive book begins by grounding readers in the essential principles of workflow orchestration—covering foundational concepts, patterns, and the limitations of manual job scheduling. It offers a critical comparison between leading orchestrators such as Oozie, Airflow, and Luigi, highlighting Oozie’s unique strengths in Hadoop-centric architectures, as well as the vital topics of security, governance, and reproducibility within enterprise-scale data pipelines. Delving into Oozie’s core architecture, the book meticulously explains the lifecycle of workflow jobs, the configuration and extension capabilities, and advanced error handling and compensation strategies. Practical sections cover modeling robust workflows with Oozie’s XML-based language, best practices for parameterization and modularization, and sophisticated control flow constructs. Real-world solutions for workflow scheduling, event handling, interdependent pipeline coordination, and large-scale management are explored alongside seamless integrations with the Hadoop ecosystem—including HDFS, YARN, Hive, Pig, Spark, and critical data ingest tools—ensuring readers are well-equipped to build and operate production-scale pipelines. With in-depth guidance on operationalization, the text addresses monitoring, debugging, diagnostics, zero-downtime upgrades, and strategies for high availability. Dedicated chapters on security offer best practices for identity propagation, fine-grained authorization, data privacy, and threat modeling. The book concludes with forward-looking insights into the future of orchestration—including Kubernetes-native, serverless, and event-driven paradigms—and provides actionable strategies for migration, interoperability, and the evolution of workflow ecosystems. Whether you're modernizing legacy systems or designing new data architectures, this book is your essential resource for building reliable, secure, and scalable big data workflows with Oozie.
Efficient Data Processing With Apache Pig
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Efficient Data Processing With Apache Pig 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.
"Efficient Data Processing with Apache Pig" Efficient Data Processing with Apache Pig is the definitive guide to mastering high-performance data transformation and pipeline design in today’s complex big data landscape. The book opens with a thorough examination of Apache Pig’s evolution, architectural foundations, and its crucial role within distributed data ecosystems. Readers gain a strategic perspective on where Pig excels compared to frameworks like MapReduce, Hive, and Spark, alongside practical guidance for deploying robust, enterprise-grade environments that prioritize scalability, multi-tenancy, and production resilience. Spanning fundamental data modeling practices, advanced Pig Latin techniques, and deep dives into resource optimization, this book is tailored for engineers, architects, and data professionals seeking practical strategies for building efficient, reliable pipelines. Each chapter balances conceptual clarity with technical depth—exploring schema evolution, advanced joins, aggregation patterns, modular scripting, and the intricacies of performance tuning. Readers also benefit from comprehensive coverage of extending Pig with custom UDFs, integrating with external data sources, and the nuances of workflow orchestration across Oozie, Airflow, and cloud-native platforms. The book moves beyond code and configuration, addressing critical considerations in security, compliance, and data governance—from authentication and encryption to auditing and lifecycle management. It concludes with actionable frameworks for migration, modernization, and hybrid architectures, coupled with future-focused discussions on AI integration, the evolving open-source ecosystem, and innovative real-world use cases at scale. Efficient Data Processing with Apache Pig is both a practical reference and an indispensable roadmap for leveraging Pig to its full potential in modern data environments.
Data Engineering With Aws Cookbook
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Author : Trâm Ngọc Phạm
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-29
Data Engineering With Aws Cookbook written by Trâm Ngọc Phạm 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 2024-11-29 with Computers categories.
Master AWS data engineering services and techniques for orchestrating pipelines, building layers, and managing migrations Key Features Get up to speed with the different AWS technologies for data engineering Learn the different aspects and considerations of building data lakes, such as security, storage, and operations Get hands on with key AWS services such as Glue, EMR, Redshift, QuickSight, and Athena for practical learning Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPerforming data engineering with Amazon Web Services (AWS) combines AWS's scalable infrastructure with robust data processing tools, enabling efficient data pipelines and analytics workflows. This comprehensive guide to AWS data engineering will teach you all you need to know about data lake management, pipeline orchestration, and serving layer construction. Through clear explanations and hands-on exercises, you’ll master essential AWS services such as Glue, EMR, Redshift, QuickSight, and Athena. Additionally, you’ll explore various data platform topics such as data governance, data quality, DevOps, CI/CD, planning and performing data migration, and creating Infrastructure as Code. As you progress, you will gain insights into how to enrich your platform and use various AWS cloud services such as AWS EventBridge, AWS DataZone, and AWS SCT and DMS to solve data platform challenges. Each recipe in this book is tailored to a daily challenge that a data engineer team faces while building a cloud platform. By the end of this book, you will be well-versed in AWS data engineering and have gained proficiency in key AWS services and data processing techniques. You will develop the necessary skills to tackle large-scale data challenges with confidence.What you will learn Define your centralized data lake solution, and secure and operate it at scale Identify the most suitable AWS solution for your specific needs Build data pipelines using multiple ETL technologies Discover how to handle data orchestration and governance Explore how to build a high-performing data serving layer Delve into DevOps and data quality best practices Migrate your data from on-premises to AWS Who this book is for If you're involved in designing, building, or overseeing data solutions on AWS, this book provides proven strategies for addressing challenges in large-scale data environments. Data engineers as well as big data professionals looking to enhance their understanding of AWS features for optimizing their workflow, even if they're new to the platform, will find value. Basic familiarity with AWS security (users and roles) and command shell is recommended.
Efficient Data Querying With Drill
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-20
Efficient Data Querying With Drill 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.
"Efficient Data Querying with Drill" "Efficient Data Querying with Drill" is an in-depth guide for data professionals, engineers, and architects seeking to harness the power and agility of Apache Drill across diverse, large-scale environments. Beginning with a strong foundation in Drill's origins, architecture, and guiding design principles, this book provides a meticulous exploration of its schema-free querying capabilities, plug-in extensibility, and robust security model. Readers are equipped with best practices on deployment configurations, from local sandboxes to highly available distributed clusters, while ensuring compliance and resilience through integrated security and governance features. The book methodically addresses real-world data integration challenges, detailing how Drill can unite relational, NoSQL, and cloud-native data sources with seamless schema discovery and dynamic metadata management. Advanced chapters dive into the internal mechanics of query processing—covering parsing, optimization, fault tolerance, and parallel execution—empowering practitioners to design, diagnose, and tune complex analytic workloads. Comprehensive treatment is given to advanced SQL patterns, custom extensions through UDFs and plugins, as well as scalable operations—enabling federated querying, materialized views, and adaptive handling of evolving schemas. Further, readers benefit from hands-on strategies for optimization, scaling, and enterprise integration, bolstered by production-grade advice in monitoring, orchestration, and DevOps automation. The book concludes with a wealth of case studies illuminating Drill’s transformative impact on data lakes, IoT analytics, and self-service BI, as well as a forward-looking perspective on emerging trends, innovations, and Drill’s evolving ecosystem. Whether architecting modern data platforms or democratizing analytics, this definitive resource unlocks Apache Drill’s full potential for fast, flexible, and scalable data exploration.
Comprehensive Guide To Hive Architecture And Query Language
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-14
Comprehensive Guide To Hive Architecture And Query Language 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.
"Comprehensive Guide to Hive Architecture and Query Language" This expertly crafted volume offers a sweeping exploration of Apache Hive, tracing its evolution from its early origins alongside Hadoop to its current standing as a cornerstone in modern data warehousing. Readers are guided through the historical motivations behind Hive’s design, its unique differentiators compared to other analytical platforms, and its integration within both traditional and cloud-native environments. The book not only contextualizes Hive’s role amongst emerging data processing engines such as Presto, Impala, and Spark SQL, but also presents real-world deployment patterns, use cases, and future-facing trends, establishing a solid foundation for readers seeking to understand Hive’s place in today’s data ecosystem. Delving into the heart of Hive’s technical architecture, the guide provides a profound examination of core components including the Metastore, query compilation and optimization processes, execution engines, and robust fault tolerance mechanisms. Coverage extends into advanced data modeling techniques—partitioning, bucketing, and schema evolution—as well as best practices for storage optimization and metadata governance. Readers will gain practical skills in designing performant data warehouses, leveraging Hive’s strengths in balancing manageability, scalability, and extensibility, while implementing secure, compliant, and multi-tenant environments. A substantial focus is also placed on Hive Query Language (HiveQL), equipping practitioners with in-depth knowledge of syntax, advanced analytical patterns, custom functions, and transactional semantics. The book bridges theory and practice with comprehensive discussions on query optimization, performance engineering, workload management, and sophisticated integration scenarios with BI tools, streaming data, Spark SQL, and federated sources. Concluding with chapters on deployment strategies, operational best practices, and emerging innovations such as serverless Hive and data lakehouse architectures, this guide stands as an indispensable resource for architects, engineers, and data professionals striving for mastery of large-scale analytic data platforms.
Expert Hadoop Administration
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Author : Sam R. Alapati
language : en
Publisher: Addison-Wesley Professional
Release Date : 2016-11-29
Expert Hadoop Administration written by Sam R. Alapati and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-29 with Computers categories.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size.” —Paul Dix, Series Editor In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop
Applied Hudi Systems
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-03
Applied Hudi 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 2025-06-03 with Computers categories.
"Applied Hudi Systems" "Applied Hudi Systems" is a comprehensive and authoritative guide to architecting, operating, and optimizing Apache Hudi for modern, large-scale data lakes. The book begins with a thorough exploration of Hudi’s architectural foundations and design philosophy, clarifying core concepts such as table abstractions (Copy-on-Write vs. Merge-on-Read), metadata management, transactional guarantees, and integration with distributed storage systems like HDFS, S3, and GCS. Readers will come away with a deep understanding of Hudi’s unique approach to reliable data storage, time-travel queries, and its positioning relative to other leading lakehouse formats. The book progresses from foundational principles to advanced engineering, covering high-throughput data ingestion using real-time and micro-batch pipelines, mutation management (upserts, deletes), data validation, and change data capture integration. Practical chapters on query processing, indexing, partitioning, clustering, and fine-grained performance tuning provide real-world strategies for achieving scalable, low-latency analytics. Detailed treatments of storage layout, compaction, lifecycle management, and cost optimization empower practitioners to build resilient and efficient Hudi-based architectures suitable for petabyte-scale deployments. Recognizing the demands of enterprise data platforms, "Applied Hudi Systems" addresses mission-critical topics such as security, governance, auditing, multi-tenancy, and disaster recovery. Readers will find comprehensive guidance on monitoring, telemetry, alerting, resource management, and extensibility with today’s data ecosystem tools (e.g., Spark, Trino, Airflow, Prometheus). The book culminates with best practices, operational playbooks, benchmark results, and in-depth case studies from production Hudi environments—making it an indispensable resource for engineers, architects, and data leaders seeking to deploy robust, future-ready data lake solutions.
Strategic Blueprint For Enterprise Analytics
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Author : Liang Wang
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Strategic Blueprint For Enterprise Analytics written by Liang Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
Apache Oozie
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Author : Mohammad Kamrul Islam
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-05-12
Apache Oozie written by Mohammad Kamrul Islam and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-12 with Computers categories.
Get a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs. With this hands-on guide, two experienced Hadoop practitioners walk you through the intricacies of this powerful and flexible platform, with numerous examples and real-world use cases. Once you set up your Oozie server, you’ll dive into techniques for writing and coordinating workflows, and learn how to write complex data pipelines. Advanced topics show you how to handle shared libraries in Oozie, as well as how to implement and manage Oozie’s security capabilities. Install and configure an Oozie server, and get an overview of basic concepts Journey through the world of writing and configuring workflows Learn how the Oozie coordinator schedules and executes workflows based on triggers Understand how Oozie manages data dependencies Use Oozie bundles to package several coordinator apps into a data pipeline Learn about security features and shared library management Implement custom extensions and write your own EL functions and actions Debug workflows and manage Oozie’s operational details
Evolution Of Machine Learning And Internet Of Things Applications In Biomedical Engineering
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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-10-30
Evolution Of Machine Learning And Internet Of Things Applications In Biomedical Engineering written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Computers categories.
This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world. Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses the Internet of Things (IoT) and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks. This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval and brain image segmentation.