Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals
DOWNLOAD
Download Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals
DOWNLOAD
Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-08
Advanced Data Streaming With Apache Nifi Engineering Real Time Data Pipelines For Professionals written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Computers categories.
Unlock the full potential of data streaming and real-time pipeline construction with "Advanced Data Streaming with Apache NiFi: Engineering Real-Time Data Pipelines for Professionals." This authoritative guide delves deep into the world of Apache NiFi, a revolutionary open-source tool designed to automate the flow of data between systems. From foundational concepts and architecture to advanced techniques and security measures, this book covers everything professionals need to optimize their data workflows efficiently and effectively. Structured to facilitate incremental learning, the book begins with an introduction to Apache NiFi, exploring its core components and user-friendly interface. Subsequent chapters dive into the intricacies of NiFi’s architecture, the detailed workings of processors, and the art of data flow management and routing. Readers will also uncover the power of the NiFi Expression Language for on-the-fly data manipulation and best practices for securing sensitive data within their flows. "Advanced Data Streaming with Apache NiFi" is not just theoretical; it is a practical guide filled with real-world examples, case studies, and expert insights. Whether you are new to data streaming or an experienced engineer looking to refine your skills, this book is an indispensable resource for building robust, efficient, and secure real-time data pipelines. Master the art of data ingestion, processing, and distribution across various systems with ease. Tackle the challenges of high-volume data processing and learn to troubleshoot common issues, all while ensuring your data flows are secure and compliant. Step into the future of data integration with "Advanced Data Streaming with Apache NiFi: Engineering Real-Time Data Pipelines for Professionals." Start optimizing your real-time data pipelines today for scalability, efficiency, and reliability, and transform the way you manage data across your organization.
Data Streaming With Apache Nifi
DOWNLOAD
Author : Matt Mueyon
language : en
Publisher: Independently Published
Release Date : 2024-04-14
Data Streaming With Apache Nifi written by Matt Mueyon and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-14 with Computers categories.
Unlock the full potential of data streaming and real-time data pipeline construction with "Data Streaming with Apache NiFi: Building Real-Time Data Pipelines." This authoritative guide dives deep into the world of Apache NiFi, a revolutionary open-source tool designed to automate the flow of data between systems. From basic concepts and architecture to advanced techniques and security measures, this book covers everything you need to optimize your data workflows efficiently and effectively. Structured to facilitate incremental learning, the book starts with an introduction to Apache NiFi, exploring its core components and user-friendly interface. Subsequent chapters delve into the nuances of NiFi's architecture, the intricate workings of processors, and the art of data flow management and routing. Readers will also discover the power of NiFi Expression Language, crucial for manipulating data on-the-fly, and best practices for securing sensitive data within their flows. "Data Streaming with Apache NiFi" is not just about theory; it's a practical guide replete with real-world examples, case studies, and expert insights. Whether you're new to data streaming or an experienced engineer looking to refine your skills, this book is an indispensable resource for building robust, efficient, and secure real-time data pipelines. Master the art of data ingestion, processing, and distribution across various systems with ease. Embrace the challenges of high-volume data processing and learn to troubleshoot common issues, all while ensuring your data flows are secure and compliant. Step into the future of data integration with "Data Streaming with Apache NiFi: Building Real-Time Data Pipelines." Start optimizing your real-time data pipelines today for scalability, efficiency, and reliability, and transform the way you manage data across your organization.
Advanced Data Analytics In Health
DOWNLOAD
Author : Philippe J. Giabbanelli
language : en
Publisher: Springer
Release Date : 2018-04-20
Advanced Data Analytics In Health written by Philippe J. Giabbanelli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Technology & Engineering categories.
This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Data Engineering With Python
DOWNLOAD
Author : Paul Crickard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-23
Data Engineering With Python written by Paul Crickard 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 2020-10-23 with Computers categories.
Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.
Data Engineering For Ai
DOWNLOAD
Author : Sundeep Goud Katta
language : en
Publisher: BPB Publications
Release Date : 2025-06-26
Data Engineering For Ai written by Sundeep Goud Katta and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-26 with Computers categories.
DESCRIPTION Data engineering is the critical discipline of building and maintaining the systems that enable organizations to collect, store, process, and analyze vast amounts of data, especially for advanced applications like AI and ML. It is about ensuring that it is reliable, accessible, and high-quality for everyone who needs it. This book provides a thorough exploration of the complete data lifecycle, starting with data engineering's development and its vital link to AI. It provides an overview of scalable data practices, from legacy systems to cutting-edge techniques. The reader will explore real-time data collection, secure ingestion, optimized storage, and dynamic processing techniques. The book features detailed discussions on ETL and ELT frameworks, performance tuning, and quality assurance that are complemented by real-world case studies. All these empower the data engineers to design systems that are seamless and integrate well with AI pipelines, driving innovation across diverse industries. By the end of this book, readers will be well-equipped to design, implement, and manage scalable data engineering solutions that effectively support and drive AI initiatives within any organization. WHAT YOU WILL LEARN ● Design real-time data ingestion and processing systems. ● Implement optimized data storage solutions for AI workloads. ● Ensure data quality, compliance in dynamically changing environments. ● Build scalable data collection methods, including for AI training data. ● Apply data engineering solutions in complex, real-world AI projects. ● Conduct SQL analytics and craft insightful, AI-driven visualizations. WHO THIS BOOK IS FOR This book is for data engineers, AI practitioners, and curious professionals with a foundational understanding of databases, programming, and ETL processes. A basic understanding of computer science concepts, cloud computing, and analytics is helpful. TABLE OF CONTENTS 1. Introduction to Data Engineering in AI 2. Managing Data Collection 3. Data Ingestion in Action 4. Data Storage in Real-time 5. Data Processing Techniques and Best Practices 6. Data Integration and Interoperability 7. Ensuring Data Quality 8. Understanding Data Analytics 9. Data Visualization and Reporting 10. Operational Data Security 11. Protecting Data Privacy 12. Data Engineering Case Studies
Microstrategy System Architecture And Administration
DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Microstrategy System Architecture And Administration 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.
"MicroStrategy System Architecture and Administration" "MicroStrategy System Architecture and Administration" provides a comprehensive and authoritative exploration of the MicroStrategy platform, unraveling its intricate ecosystem from foundational concepts to advanced architectural strategies. This expertly structured guide begins with an in-depth analysis of the platform's core components—Intelligence Server, Web, Mobile, and APIs—offering readers a clear understanding of system integration and deployment options across on-premises, cloud, and hybrid environments. Each chapter is meticulously crafted to build expertise, starting with platform fundamentals and progressing through essential layers such as metadata management, multi-tier architecture, and system extensibility. Delving deeper, the book presents a systematic examination of key operational pillars: data integration, semantic modeling, performance optimization, and robust security paradigms. Readers will gain practical insights into modeling scalable business intelligence schemas, orchestrating diverse data sources, and employing best-in-class governance for data integrity and auditability. Critical areas like caching mechanisms, clustering for high availability, session management, and advanced access control are thoroughly discussed, ensuring that system administrators, architects, and data professionals are equipped to design and manage secure, scalable, and performant BI solutions. In its final sections, the book turns a forward-looking eye to cloud-native architectures, containerized deployments, and emerging frontiers such as AI integration and real-time analytics. With coverage of automation best practices, incident handling, capacity planning, and sustainability within analytics infrastructure, this volume stands as an indispensable reference. Whether you are operationalizing MicroStrategy in a modern enterprise or engineering next-generation analytics solutions, this book blends technical rigor with practical guidance to ensure mastery over the complete MicroStrategy landscape.
Data Engineering For Ai Ml Pipelines
DOWNLOAD
Author : Venkata Karthik Penikalapati
language : en
Publisher: BPB Publications
Release Date : 2024-10-18
Data Engineering For Ai Ml Pipelines written by Venkata Karthik Penikalapati and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Computers categories.
DESCRIPTION Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrastructure. This book covers everything from foundational concepts to advanced techniques. It begins by introducing the role of data engineering in AI/ML, followed by exploring the lifecycle of data, from data generation and collection to storage and management. Readers will learn how to design robust data pipelines, transform data, and deploy AI/ML models effectively for real-world applications. The book also explains security, privacy, and compliance, ensuring responsible data management. Finally, it explores future trends, including automation, real-time data processing, and advanced architectures, providing a forward-looking perspective on the evolution of data engineering. By the end of this book, you will have a deep understanding of the principles and practices of data engineering for AI/ML. You will be able to design and implement efficient data pipelines, select appropriate technologies, ensure data quality and security, and leverage data for building successful AI/ML models. KEY FEATURES ● Comprehensive guide to building scalable AI/ML data engineering pipelines. ● Practical insights into data collection, storage, processing, and analysis. ● Emphasis on data security, privacy, and emerging trends in AI/ML. WHAT YOU WILL LEARN ● Architect scalable data solutions for AI/ML-driven applications. ● Design and implement efficient data pipelines for machine learning. ● Ensure data security and privacy in AI/ML systems. ● Leverage emerging technologies in data engineering for AI/ML. ● Optimize data transformation processes for enhanced model performance. WHO THIS BOOK IS FOR This book is ideal for software engineers, ML practitioners, IT professionals, and students wanting to master data pipelines for AI/ML. It is also valuable for developers and system architects aiming to expand their knowledge of data-driven technologies. TABLE OF CONTENTS 1. Introduction to Data Engineering for AI/ML 2. Lifecycle of AI/ML Data Engineering 3. Architecting Data Solutions for AI/ML 4. Technology Selection in AI/ML Data Engineering 5. Data Generation and Collection for AI/ML 6. Data Storage and Management in AI/ML 7. Data Ingestion and Preparation for ML 8. Transforming and Processing Data for AI/ML 9. Model Deployment and Data Serving 10. Security and Privacy in AI/ML Data Engineering 11. Emerging Trends and Future Direction
Data Pipelines With Apache Airflow
DOWNLOAD
Author : Bas P. Harenslak
language : en
Publisher: Simon and Schuster
Release Date : 2021-04-27
Data Pipelines With Apache Airflow written by Bas P. Harenslak 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 2021-04-27 with Computers categories.
For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills"--Back cover.
The Data Warehouse Etl Toolkit
DOWNLOAD
Author : Ralph Kimball
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-27
The Data Warehouse Etl 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 2011-04-27 with Computers categories.
Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality
Building Event Driven Microservices
DOWNLOAD
Author : Adam Bellemare
language : en
Publisher: O'Reilly Media
Release Date : 2020-07-02
Building Event Driven Microservices written by Adam Bellemare and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-02 with Computers categories.
Organizations today often struggle to balance business requirements with ever-increasing volumes of data. Additionally, the demand for leveraging large-scale, real-time data is growing rapidly among the most competitive digital industries. Conventional system architectures may not be up to the task. With this practical guide, you’ll learn how to leverage large-scale data usage across the business units in your organization using the principles of event-driven microservices. Author Adam Bellemare takes you through the process of building an event-driven microservice-powered organization. You’ll reconsider how data is produced, accessed, and propagated across your organization. Learn powerful yet simple patterns for unlocking the value of this data. Incorporate event-driven design and architectural principles into your own systems. And completely rethink how your organization delivers value by unlocking near-real-time access to data at scale. You’ll learn: How to leverage event-driven architectures to deliver exceptional business value The role of microservices in supporting event-driven designs Architectural patterns to ensure success both within and between teams in your organization Application patterns for developing powerful event-driven microservices Components and tooling required to get your microservice ecosystem off the ground