Hadoop Blueprints
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Hadoop Blueprints
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Author : Anurag Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-09-30
Hadoop Blueprints written by Anurag Shrivastava 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 2016-09-30 with Computers categories.
Use Hadoop to solve business problems by learning from a rich set of real-life case studies About This Book Solve real-world business problems using Hadoop and other Big Data technologies Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more Power packed with six case studies to get you going with Hadoop for Business Intelligence Who This Book Is For If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any scripting language. What You Will Learn Learn about the evolution of Hadoop as the big data platform Understand the basics of Hadoop architecture Build a 360 degree view of your customer using Sqoop and Hive Build and run classification models on Hadoop using BigML Use Spark and Hadoop to build a fraud detection system Develop a churn detection system using Java and MapReduce Build an IoT-based data collection and visualization system Get to grips with building a Hadoop-based Data Lake for large enterprises Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem In Detail If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space. Style and approach This is an example-driven book where each chapter covers a single business problem and describes its solution by explaining the structure of a dataset and tools required to process it. Every project is demonstrated with a step-by-step approach, and explained in a very easy-to-understand manner.
Storm Blueprints Patterns For Distributed Real Time Computation
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Author : P. Taylor Goetz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-03-26
Storm Blueprints Patterns For Distributed Real Time Computation written by P. Taylor Goetz 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 2014-03-26 with Computers categories.
A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications. Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and the tips, techniques, and approaches described in the book apply to architects, developers, and operations. Additionally, the book should provoke and inspire applications of distributed computing to other industries and domains. Hadoop enthusiasts will also find this book a good introduction to Storm, providing a potential migration path from batch processing to the world of real-time analytics.
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.
Architecting Hbase Applications
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Author : Jean-Marc Spaggiari
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-07-18
Architecting Hbase Applications written by Jean-Marc Spaggiari 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 2016-07-18 with Computers categories.
Lots of HBase books, online HBase guides, and HBase mailing lists/forums are available if you need to know how HBase works. But if you want to take a deep dive into use cases, features, and troubleshooting, Architecting HBase Applications is the right source for you. With this book, you'll learn a controlled set of APIs that coincide with use-case examples and easily deployed use-case models, as well as sizing/best practices to help jump start your enterprise application development and deployment.
The Data Warehouse Builder S Blueprint
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-16
The Data Warehouse Builder S Blueprint written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Business & Economics categories.
In the era of data-driven decision-making, harnessing the power of data is essential for businesses seeking to gain a competitive edge. Data warehouses have emerged as powerful tools for collecting, storing, and integrating data from diverse sources, providing a centralized platform for analysis and informed decision-making. However, building a successful data warehouse project is a complex and challenging endeavor, requiring careful planning, execution, and management. "The Data Warehouse Builder's Blueprint" is the ultimate guide for navigating the complexities of data warehouse projects. Written by experienced data warehousing professionals, this comprehensive book provides a step-by-step roadmap to managing every aspect of the data warehousing process, from inception to implementation and beyond. Inside this invaluable resource, you will discover: * The fundamentals of data warehousing, its benefits, and common challenges * Proven strategies for building a solid business case to justify your data warehouse investment * Expert guidance on selecting the right data warehouse architecture, design, and modeling techniques * Practical advice on project management, team building, and risk management for successful data warehouse implementation * In-depth coverage of data acquisition and integration, including data extraction, transformation, and loading techniques * Comprehensive exploration of data modeling and design, encompassing conceptual, logical, and physical modeling, as well as dimension modeling and data warehousing schemas * Essential insights into data quality management, data governance, and security, including data assessment, cleaning, and standardization techniques, as well as data governance frameworks and security best practices * Expert tips for performance tuning and optimization, covering metrics, bottleneck identification, and strategies for optimizing queries, indexing, and partitioning * Guidance on maintaining and evolving your data warehouse, ensuring ongoing performance, scalability, and alignment with changing business needs With its clear explanations, real-world examples, and practical tips, "The Data Warehouse Builder's Blueprint" is an indispensable resource for data warehouse architects, project managers, business analysts, and anyone seeking to expand their knowledge in this critical field. Embrace the power of data and transform your business with the insights and strategies revealed in this comprehensive guide. If you like this book, write a review on google books!
Professional Hadoop
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Author : Benoy Antony
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-03
Professional Hadoop written by Benoy Antony 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 2016-05-03 with Computers categories.
The professional's one-stop guide to this open-source, Java-based big data framework Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers, and Summit speakers, this book details every key aspect of Hadoop technology to enable optimal processing of large data sets. Designed expressly for the professional developer, this book skips over the basics of database development to get you acquainted with the framework's processes and capabilities right away. The discussion covers each key Hadoop component individually, culminating in a sample application that brings all of the pieces together to illustrate the cooperation and interplay that make Hadoop a major big data solution. Coverage includes everything from storage and security to computing and user experience, with expert guidance on integrating other software and more. Hadoop is quickly reaching significant market usage, and more and more developers are being called upon to develop big data solutions using the Hadoop framework. This book covers the process from beginning to end, providing a crash course for professionals needing to learn and apply Hadoop quickly. Configure storage, UE, and in-memory computing Integrate Hadoop with other programs including Kafka and Storm Master the fundamentals of Apache Big Top and Ignite Build robust data security with expert tips and advice Hadoop's popularity is largely due to its accessibility. Open-source and written in Java, the framework offers almost no barrier to entry for experienced database developers already familiar with the skills and requirements real-world programming entails. Professional Hadoop gives you the practical information and framework-specific skills you need quickly.
The Data Blueprint
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-09
The Data Blueprint written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
In an era where data reigns supreme, The Data Blueprint emerges as an invaluable guide, empowering individuals and organizations to harness the transformative power of data. This comprehensive book unveils the intricacies of data management, providing readers with the knowledge and skills necessary to navigate the ever-changing landscape of information and technology. Written in an accessible and engaging style, The Data Blueprint caters to a diverse audience, from aspiring data enthusiasts to seasoned professionals seeking to deepen their understanding of data management. With its comprehensive coverage of topics, ranging from data collection and storage to advanced techniques for data analysis and visualization, this book serves as an indispensable roadmap for anyone seeking to unlock the full potential of data. The Data Blueprint delves into the vast possibilities of data, revealing its profound impact on our world. Readers will discover how data drives innovation, fuels progress, and shapes decision-making across industries and sectors. Through real-world examples and case studies, the book illustrates how organizations leverage data to gain competitive advantage, improve operational efficiency, and enhance customer experiences. For business leaders seeking to unlock the strategic value of data, The Data Blueprint offers a wealth of insights and practical guidance. Readers will learn how to develop a data-driven culture, establish effective data governance practices, and implement data-centric strategies that drive business growth and success. Data scientists and analysts will find The Data Blueprint an invaluable resource, providing them with a deep understanding of data analytics techniques, machine learning algorithms, and data visualization tools. With its comprehensive coverage of advanced topics, such as natural language processing and predictive analytics, this book empowers data professionals to extract meaningful insights from complex data sets and make informed decisions. The Data Blueprint is not just a technical guide; it also explores the ethical and societal implications of data-driven technologies. Readers will gain a deeper understanding of data privacy, data security, and the responsible use of data. The book challenges readers to consider the broader impact of data on society and equips them with the knowledge and skills necessary to navigate the ethical dilemmas that arise in the digital age. As we move forward in a world increasingly shaped by data, The Data Blueprint stands as an essential guide for anyone seeking to harness the transformative power of information. With its comprehensive coverage, accessible writing style, and thought-provoking insights, this book empowers readers to become data-driven leaders and innovators, shaping a future where data fuels progress and prosperity. If you like this book, write a review!
Mastering Apache Hadoop
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-26
Mastering Apache Hadoop written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Computers categories.
Unleash the Power of Big Data Processing with Apache Hadoop Ecosystem Are you ready to embark on a journey into the world of big data processing and analysis using Apache Hadoop? "Mastering Apache Hadoop" is your comprehensive guide to understanding and harnessing the capabilities of Hadoop for processing and managing massive datasets. Whether you're a data engineer seeking to optimize processing pipelines or a business analyst aiming to extract insights from large data, this book equips you with the knowledge and tools to master the art of Hadoop-based data processing. Key Features: 1. Deep Dive into Hadoop Ecosystem: Immerse yourself in the core components and concepts of the Apache Hadoop ecosystem. Understand the architecture, components, and functionalities that make Hadoop a powerful platform for big data. 2. Installation and Configuration: Master the art of installing and configuring Hadoop on various platforms. Learn about cluster setup, resource management, and configuration settings for optimal performance. 3. Hadoop Distributed File System (HDFS): Uncover the power of HDFS for distributed storage and data management. Explore concepts like replication, fault tolerance, and data placement to ensure data durability. 4. MapReduce and Data Processing: Delve into MapReduce, the core data processing paradigm in Hadoop. Learn how to write MapReduce jobs, optimize performance, and leverage parallel processing for efficient data analysis. 5. Data Ingestion and ETL: Discover techniques for ingesting and transforming data in Hadoop. Explore tools like Apache Sqoop and Apache Flume for extracting data from various sources and loading it into Hadoop. 6. Data Querying and Analysis: Master querying and analyzing data using Hadoop. Learn about Hive, Pig, and Spark SQL for querying structured and semi-structured data, and uncover insights that drive informed decisions. 7. Data Storage Formats: Explore data storage formats optimized for Hadoop. Learn about Avro, Parquet, and ORC, and understand how to choose the right format for efficient storage and retrieval. 8. Batch and Stream Processing: Uncover strategies for batch and real-time data processing in Hadoop. Learn how to use Apache Spark and Apache Flink to process data in both batch and streaming modes. 9. Data Visualization and Reporting: Discover techniques for visualizing and reporting on Hadoop data. Explore integration with tools like Apache Zeppelin and Tableau to create compelling visualizations. 10. Real-World Applications: Gain insights into real-world use cases of Apache Hadoop across industries. From financial analysis to social media sentiment analysis, explore how organizations are leveraging Hadoop's capabilities for data-driven innovation. Who This Book Is For: "Mastering Apache Hadoop" is an essential resource for data engineers, analysts, and IT professionals who want to excel in big data processing using Hadoop. Whether you're new to Hadoop or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of big data technology.
Complete Guide To Open Source Big Data Stack
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Author : Michael Frampton
language : en
Publisher: Apress
Release Date : 2018-01-18
Complete Guide To Open Source Big Data Stack written by Michael Frampton and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Computers categories.
See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together. In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private cloud and then installs and examines Apache Brooklyn. After that, he uses each chapter to introduce one piece of the big data stack—sharing how to source the software and how to install it. You learn by simple example, step by step and chapter by chapter, as a real big data stack is created. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resource management, processing, queuing, frameworks, data visualization, and more. What You’ll Learn Install a private cloud onto the local cluster using Apache cloud stack Source, install, and configure Apache: Brooklyn, Mesos, Kafka, and Zeppelin See how Brooklyn can be used to install Mule ESB on a cluster and Cassandra in the cloud Install and use DCOS for big data processing Use Apache Spark for big data stack data processing Who This Book Is For Developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for anyone interested in Hadoop or big data, and those experiencing problems with data size.
The Data Driven Product Manager A Blueprint 2025
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Author : Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
The Data Driven Product Manager A Blueprint 2025 written by Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav 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 In today’s rapidly evolving business landscape, the role of a product manager is more critical—and more complex—than ever before. “The Data-Driven Product Manager: A Blueprint” was born out of the recognition that intuition and experience, while valuable, can only take you so far. To truly excel in product management, one must harness the power of data to drive decision-making, fuel innovation, and ultimately deliver products that resonate with customers and succeed in the market. This book is designed as a comprehensive guide for product managers who are eager to integrate data-driven strategies into every facet of their work. Whether you are a seasoned professional looking to refine your approach or a newcomer seeking a structured path into the world of product management, this blueprint provides the tools, techniques, and insights necessary to transform raw data into actionable intelligence. Throughout the chapters, you will encounter practical frameworks and real-world examples that illustrate how data can be seamlessly integrated into product lifecycle management. From initial market research and customer segmentation to product launch and post-launch analysis, each section is crafted to offer a step-by-step roadmap for developing and scaling products in a competitive market. One of the key themes of this book is the transformation of data from a mere byproduct of operations into a strategic asset. In doing so, it addresses common obstacles such as data quality issues, integration challenges, and the cultural shift required within organizations to embrace analytics as a core component of the product management process. We offer actionable advice on building data infrastructure, fostering cross-functional collaboration, and cultivating a mindset that values experimentation and continuous improvement. The decision to write this book was fueled by the growing recognition that data-driven product management is not just a trend but a fundamental shift in how products are conceptualized, built, and refined. In an era where customer expectations are constantly evolving and market conditions can change overnight, the ability to adapt quickly using insights derived from data is no longer optional—it is essential for survival and success. I invite you to embark on this journey with an open mind and a readiness to challenge conventional practices. As you progress through the chapters, my hope is that you will find not only practical strategies and technical guidance but also inspiration to innovate boldly and lead confidently. Let this blueprint serve as both a reference and a catalyst for your growth as a data-driven product manager, empowering you to make informed decisions that drive real impact. Welcome to the future of product management. Welcome to a world where data lights the way forward. Authors