Programming Pig
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Programming Pig
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Author : Alan Gates
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-10-06
Programming Pig written by Alan Gates 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 2011-10-06 with Computers categories.
This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps programmers describe and run large data projects on Hadoop. With Pig, they can analyze data without having to create a full-fledged application--making it easy for them to experiment with new data sets.
Programming Pig
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Author : Alan Gates
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-09
Programming Pig written by Alan Gates 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 2016-11-09 with Computers categories.
For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets. Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike. You’ll find comprehensive coverage on key features such as the Pig Latin scripting language and the Grunt shell. When you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig. Delve into Pig’s data model, including scalar and complex data types Write Pig Latin scripts to sort, group, join, project, and filter your data Use Grunt to work with the Hadoop Distributed File System (HDFS) Build complex data processing pipelines with Pig’s macros and modularity features Embed Pig Latin in Python for iterative processing and other advanced tasks Use Pig with Apache Tez to build high-performance batch and interactive data processing applications Create your own load and store functions to handle data formats and storage mechanisms
Beginning Apache Pig
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Author : Balaswamy Vaddeman
language : en
Publisher: Apress
Release Date : 2016-12-10
Beginning Apache Pig written by Balaswamy Vaddeman and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-10 with Computers categories.
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data applications.The book is divided into four parts: the complete features of Apache Pig; integration with other tools; how to solve complex business problems; and optimization of tools.You'll discover topics such as MapReduce and why it cannot meet every business need; the features of Pig Latin such as data types for each load, store, joins, groups, and ordering; how Pig workflows can be created; submitting Pig jobs using Hue; and working with Oozie. You'll also see how to extend the framework by writing UDFs and custom load, store, and filter functions. Finally you'll cover different optimization techniques such asgathering statistics about a Pig script, joining strategies, parallelism, and the role of data formats in good performance. What You Will Learn• Use all the features of Apache Pig• Integrate Apache Pig with other tools• Extend Apache Pig• Optimize Pig Latin code• Solve different use cases for Pig LatinWho This Book Is ForAll levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators
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.
Programming Elastic Mapreduce
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Author : Kevin Schmidt
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-12-10
Programming Elastic Mapreduce written by Kevin Schmidt 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 2013-12-10 with Computers categories.
Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools
High Performance In Memory Computing With Apache Ignite
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Author : Shamim bhuiyan
language : en
Publisher: Lulu.com
Release Date : 2017-04-08
High Performance In Memory Computing With Apache Ignite written by Shamim bhuiyan and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-08 with Computers categories.
This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: 1) You have a high volume of ACID transactions in your system. 2) You have database bottleneck in your application and want to solve the problem. 3) You want to develop and deploy Microservices in a distributed fashion. 4) You have an existing Hadoop ecosystem (OLAP) and want to improve the performance of map/reduce jobs without making any changes in your existing map/reduce jobs. 5) You want to share Spark RDD directly in-memory (without storing the state into the disk) 7) You are planning to process continuous never-ending streams and complex events of data. 8) You want to use distributed computations in parallel fashion to gain high performance.
Big Data
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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date :
Big Data written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Embark on an awe-inspiring journey into the realm of big data—an expansive landscape where information evolves into insights, and innovation transforms industries. "Decoding Data Universe: Mastering Big Data Analytics" is a comprehensive guide that unveils the essential principles and practices that empower data enthusiasts to harness the power of big data for informed decision-making and transformative solutions. Unleashing Data Potential: Immerse yourself in the art of big data analytics as this book explores the core concepts and strategies that underpin successful data-driven endeavors. From data collection to predictive modeling, from machine learning to data visualization, this guide equips you with the tools to unlock patterns, drive innovation, and fuel growth through data-driven insights. Key Themes Explored: Data Collection and Storage: Discover techniques to efficiently collect, organize, and store vast amounts of data from diverse sources. Data Analysis and Interpretation: Embrace methods for extracting meaningful insights, trends, and correlations from complex data sets. Machine Learning and AI: Learn strategies to apply machine learning algorithms for predictive modeling and decision support. Data Visualization and Communication: Explore the art of transforming data into visual stories that communicate insights effectively. Ethical Data Use and Privacy: Understand the ethical considerations and legal implications of working with big data. Target Audience: "Decoding Data Universe" caters to data analysts, scientists, business professionals, researchers, and individuals passionate about turning data into actionable insights. Whether you're navigating the world of data-driven decision-making, exploring machine learning applications, or seeking to master the art of data visualization, this book empowers you to unlock the potential of big data. Unique Selling Points: Real-Life Data Success Stories: Engage with practical examples of organizations that harnessed big data analytics to drive innovation and success. Cutting-Edge Technologies: Emphasize the role of advanced tools, cloud computing, and AI-powered analytics in handling big data. Decision-Making Frameworks: Learn how to use data insights to make strategic decisions and optimize business processes. Ethical Data Practices: Explore the responsible and ethical use of data while respecting individual privacy. Decode the Data Universe: "Big Data" transcends ordinary data literature—it's a transformative guide that celebrates the art of transforming raw data into actionable insights and game-changing solutions. Whether you seek to optimize operations, innovate products, or enhance customer experiences, this book is your compass to mastering the principles that drive successful big data analytics. Secure your copy of "Big Data" and embark on a journey of decoding the mysteries of big data and unleashing its transformative potential.
Apache Hadoop 3 Quick Start Guide
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31
Apache Hadoop 3 Quick Start Guide written by Hrishikesh Vijay Karambelkar 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 2018-10-31 with Computers categories.
A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key FeaturesSet up, configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3Book Description Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. What you will learnStore and analyze data at scale using HDFS, MapReduce and YARNInstall and configure Hadoop 3 in different modesUse Yarn effectively to run different applications on Hadoop based platformUnderstand and monitor how Hadoop cluster is managedConsume streaming data using Storm, and then analyze it using SparkExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and KafkaWho this book is for Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.
The Silver Pigs
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Author : Lindsey Davis
language : en
Publisher: Minotaur Books
Release Date : 2006-10-03
The Silver Pigs written by Lindsey Davis and has been published by Minotaur Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-03 with Fiction categories.
The Silver Pigs is Lindsey Davis' classic novel, which introduced readers around the world to Marcus Didius Falco, a private informer with a knack for trouble, a tendency for bad luck, and a frequently inconvenient drive for justice. When Marcus Didius Falco, a Roman "informer" who has a nose for trouble that's sharper than most, encounters Sosia Camillina in the Forum, he senses immediately all is not right with the pretty girl. She confesses to him that she is fleeing for her life, and Falco makes the rash decision to rescue her—a decision he will come to regret. For Sosia bears a heavy burden: as heavy as a pile of stolen Imperial ingots, in fact. Matters just get more complicated when Falco meets Helena Justina, a Senator's daughter who is connected to the very same traitors he has sworn to expose. Soon Falco finds himself swept from the perilous back alleys of Ancient Rome to the silver mines of distant Britain—and up against a cabal of traitors with blood on their hands and no compunction whatsoever to do away with a snooping plebe like Falco....