Graphx In Practice
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Graphx In Practice
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-31
Graphx In Practice 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.
"GraphX in Practice" "GraphX in Practice" is a comprehensive guide to mastering scalable graph analytics using Apache Spark’s GraphX framework. The book begins with a rigorous exploration of the motivations, paradigms, and technical architecture behind large-scale graph processing, delving into GraphX’s tight integration with Spark’s distributed engine. Readers will gain a solid foundation in graph data modeling, construction, partitioning, and storage—empowering them to transform raw data from disparate sources into efficient, queryable graph structures suitable for real-world analytics. The heart of the book is a detailed treatment of GraphX’s APIs, transformations, and the implementation of advanced algorithms. Through clear technical exposition, practitioners are shown how to leverage core GraphX abstractions to solve classical graph problems such as PageRank, community detection, shortest paths, motif finding, and centrality metrics in a distributed environment. The text further explores best practices in optimization, fault tolerance, cluster management, and workflow orchestration, ensuring that readers can build robust, production-grade graph pipelines at scale. Rich with practical insights, "GraphX in Practice" also addresses advanced topics including dynamic and temporal graph analytics, streaming computations, graph neural networks, and security considerations within distributed systems. Each concept is reinforced with real-world use cases spanning telecommunications, finance, cybersecurity, biomedical data, and social network analysis. With a concluding discussion on the evolving landscape of distributed graph analytics and the GraphX community’s direction, this book is an essential resource for data engineers, scientists, and architects seeking to harness the power of graph computation on Spark.
Hadoop In Practice
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Author : Alex Holmes
language : en
Publisher: Simon and Schuster
Release Date : 2014-09-29
Hadoop In Practice written by Alex Holmes 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 2014-09-29 with Computers categories.
Summary Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You'll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book It's always a good time to upgrade your Hadoop skills! Hadoop in Practice, Second Edition provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters, and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka, and Impala with Hadoop, and get new and updated techniques for the latest versions of Flume, Sqoop, and Mahout. In short, this is the most practical, up-to-date coverage of Hadoop available. Readers need to know a programming language like Java and have basic familiarity with Hadoop. What's Inside Thoroughly updated for Hadoop 2 How to write YARN applications Integrate real-time technologies like Storm, Impala, and Spark Predictive analytics using Mahout and RR Readers need to know a programming language like Java and have basic familiarity with Hadoop. About the Author Alex Holmes works on tough big-data problems. He is a software engineer, author, speaker, and blogger specializing in large-scale Hadoop projects. Table of Contents PART 1 BACKGROUND AND FUNDAMENTALS Hadoop in a heartbeat Introduction to YARN PART 2 DATA LOGISTICS Data serialization—working with text and beyond Organizing and optimizing data in HDFS Moving data into and out of Hadoop PART 3 BIG DATA PATTERNS Applying MapReduce patterns to big data Utilizing data structures and algorithms at scale Tuning, debugging, and testing PART 4 BEYOND MAPREDUCE SQL on Hadoop Writing a YARN application
Large Scale Graph Processing Using Apache Giraph
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Author : Sherif Sakr
language : en
Publisher: Springer
Release Date : 2017-01-05
Large Scale Graph Processing Using Apache Giraph written by Sherif Sakr and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-05 with Computers categories.
This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms. The book is organized as follows: Chapter 1 starts by providing a general background of the big data phenomenon and a general introduction to the Apache Giraph system, its abstraction, programming model and design architecture. Next, chapter 2 focuses on Giraph as a platform and how to use it. Based on a sample job, even more advanced topics like monitoring the Giraph application lifecycle and different methods for monitoring Giraph jobs are explained. Chapter 3 then provides an introduction to Giraph programming, introduces the basic Giraph graph model and explains how to write Giraph programs. In turn, Chapter 4 discusses in detail the implementation of some popular graph algorithms including PageRank, connected components, shortest paths and triangle closing. Chapter 5 focuses on advanced Giraph programming, discussing common Giraph algorithmic optimizations, tunable Giraph configurations that determine the system’s utilization of the underlying resources, and how to write a custom graph input and output format. Lastly, chapter 6 highlights two systems that have been introduced to tackle the challenge of large scale graph processing, GraphX and GraphLab, and explains the main commonalities and differences between these systems and Apache Giraph. This book serves as an essential reference guide for students, researchers and practitioners in the domain of large scale graph processing. It offers step-by-step guidance, with several code examples and the complete source code available in the related github repository. Students will find a comprehensive introduction to and hands-on practice with tackling large scale graph processing problems using the Apache Giraph system, while researchers will discover thorough coverage of the emerging and ongoing advancements in big graph processing systems.
Developmental Math Ii
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Author : Al Groccia
language : en
Publisher: Linus Learning
Release Date : 2014
Developmental Math Ii written by Al Groccia and has been published by Linus Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Mathematics categories.
Expert Strategies In Apache Spark Comprehensive Data Processing And Advanced Analytics
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03
Expert Strategies In Apache Spark Comprehensive Data Processing And Advanced Analytics 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 2025-01-03 with Computers categories.
"Expert Strategies in Apache Spark: Comprehensive Data Processing and Advanced Analytics" is an essential guide for data professionals aiming to master Apache Spark's sophisticated capabilities. Building on foundational knowledge, this book delves into expert-level data processing and advanced analytics techniques. It provides detailed insights into Spark’s core components like RDDs, DataFrames, and Datasets, while also exploring cutting-edge features such as MLlib for machine learning and GraphX for graph processing. Through comprehensive and practical chapters, readers will learn to optimize Spark queries using Catalyst and Tungsten, efficiently handle streaming data, manage Spark clusters, and fine-tune performance for complex applications. Whether you're a data engineer looking to optimize Spark deployments or a data scientist aiming to enhance analytical models, this book delivers the expert strategies and best practices needed to tackle big data challenges and extract actionable insights at scale. Unlock your potential in the dynamic world of big data with "Expert Strategies in Apache Spark: Comprehensive Data Processing and Advanced Analytics". Harness the full potential of your data with Spark's advanced functionalities and transform your data operations into impactful intelligence.
Advances In Databases And Information Systems
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Author : Mārīte Kirikova
language : en
Publisher: Springer
Release Date : 2017-09-15
Advances In Databases And Information Systems written by Mārīte Kirikova and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-15 with Computers categories.
This book constitutes the proceedings of the 21st European Conference on Advances in Databases and Information Systems, ADBIS 2017, held in Nicosia, Cyprus, in September 2017. The 26 regular papers presented together with one keynote paper and one keynote abstract were carefully selected and reviewed from numerous submissions. The papers are organized in topical sections such as conceptual modeling and human factors; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization, recovery, and databases on modern hardware; semantic data processing; and additional database and information systems topics.
High Performance Spark
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Author : Holden Karau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-25
High Performance Spark written by Holden Karau 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 2017-05-25 with Computers categories.
Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing. With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD transformations How to work around performance issues in Spark’s key/value pair paradigm Writing high-performance Spark code without Scala or the JVM How to test for functionality and performance when applying suggested improvements Using Spark MLlib and Spark ML machine learning libraries Spark’s Streaming components and external community packages
Integrating The Internet Of Things Into Software Engineering Practices
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Author : Mala, D. Jeya
language : en
Publisher: IGI Global
Release Date : 2019-01-25
Integrating The Internet Of Things Into Software Engineering Practices written by Mala, D. Jeya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Computers categories.
To provide the necessary security and quality assurance activities into Internet of Things (IoT)-based software development, innovative engineering practices are vital. They must be given an even higher level of importance than most other events in the field. Integrating the Internet of Things Into Software Engineering Practices provides research on the integration of IoT into the software development life cycle (SDLC) in terms of requirements management, analysis, design, coding, and testing, and provides security and quality assurance activities to IoT-based software development. The content within this publication covers agile software, language specification, and collaborative software and is designed for analysts, security experts, IoT software programmers, computer and software engineers, students, professionals, and researchers.
Frank Kane S Taming Big Data With Apache Spark And Python
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Author : Frank Kane
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-06-30
Frank Kane S Taming Big Data With Apache Spark And Python written by Frank Kane 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 2017-06-30 with Computers categories.
Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane's Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.
Beginning Algebra
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Author : Charles P. McKeague
language : en
Publisher: Elsevier
Release Date : 2014-05-10
Beginning Algebra written by Charles P. McKeague and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Mathematics categories.
Beginning Algebra: A Text/Workbook, Second Edition focuses on the principles, operations, and approaches involved in algebra. The publication first elaborates on the basics, linear equations and inequalities, and graphing and linear systems. Discussions focus on solving linear systems by graphing, elimination method, graphing ordered pairs and straight lines, linear and compound inequalities, addition and subtraction of real numbers, and properties of real numbers. The text then examines exponents and polynomials, factoring, and rational expressions. Topics include multiplication and division of rational expressions, equations involving rational expressions, dividing a polynomial by a polynomial, factoring trinomials, greatest common factor, operations with monomials, addition and subtraction of polynomials, and binomial squares and other special products. The book takes a look at more quadratic equations and roots and radicals, including multiplication and division of radicals, equations involving radicals, quadratic formula, complex solutions to quadratic equations, and graphing parabolas. The publication is a dependable reference for students and researchers interested in algebra.