Download Full eBooks in PDF
Hadoop Real World Solutions Cookbook Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Hadoop Real World Solutions Cookbook book. This book definitely worth reading, it is an incredibly well-written.
Author : Tanmay Deshpande
Publisher : Unknown
Page : 128 pages
File Size : 41,7 Mb
Release : 2016
Category : Electronic
ISBN : OCLC:1020670402
Call Data Record Analytics using Hive
Author : Jonathan R. Owens
Publisher : Unknown
Page : 424 pages
File Size : 51,8 Mb
Release : 2013
Category : Apache Hadoop
ISBN : 1621989100
Realistic, simple code examples to solve problems at scale with Hadoop and related technologies.
Author : Tanmay Deshpande
Publisher : Packt Publishing
Page : 290 pages
File Size : 54,5 Mb
Release : 2016-03-29
Category : Computers
ISBN : 1784395501
Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and MahoutAbout This Book- Implement outstanding Machine Learning use cases on your own analytics models and processes.- Solutions to common problems when working with the Hadoop ecosystem.- Step-by-step implementation of end-to-end big data use cases.Who This Book Is ForReaders who have a basic knowledge of big data systems and want to advance their knowledge with hands-on recipes.What You Will Learn- Installing and maintaining Hadoop 2.X cluster and its ecosystem.- Write advanced Map Reduce programs and understand design patterns.- Advanced Data Analysis using the Hive, Pig, and Map Reduce programs.- Import and export data from various sources using Sqoop and Flume.- Data storage in various file formats such as Text, Sequential, Parquet, ORC, and RC Files.- Machine learning principles with libraries such as Mahout- Batch and Stream data processing using Apache SparkIn DetailBig data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization.Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book.This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business.Style and approachAn easy-to-follow guide that walks you through world of big data. Each tool in the Hadoop ecosystem is explained in detail and the recipes are placed in such a manner that readers can implement them sequentially. Plenty of reference links are provided for advanced reading.
Author : Tanmay Deshpande
Publisher : Packt Publishing Ltd
Page : 290 pages
File Size : 40,8 Mb
Release : 2016-03-31
Category : Computers
ISBN : 9781784398002
Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout About This Book Implement outstanding Machine Learning use cases on your own analytics models and processes. Solutions to common problems when working with the Hadoop ecosystem. Step-by-step implementation of end-to-end big data use cases. Who This Book Is For Readers who have a basic knowledge of big data systems and want to advance their knowledge with hands-on recipes. What You Will Learn Installing and maintaining Hadoop 2.X cluster and its ecosystem. Write advanced Map Reduce programs and understand design patterns. Advanced Data Analysis using the Hive, Pig, and Map Reduce programs. Import and export data from various sources using Sqoop and Flume. Data storage in various file formats such as Text, Sequential, Parquet, ORC, and RC Files. Machine learning principles with libraries such as Mahout Batch and Stream data processing using Apache Spark In Detail Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping Machine Learning techniques will help you greatly in building predictive models and using this data to make the right decisions for your organization. Hadoop Real World Solutions Cookbook gives readers insights into learning and mastering big data via recipes. The book not only clarifies most big data tools in the market but also provides best practices for using them. The book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many more such ecosystem tools. This real-world-solution cookbook is packed with handy recipes you can apply to your own everyday issues. Each chapter provides in-depth recipes that can be referenced easily. This book provides detailed practices on the latest technologies such as YARN and Apache Spark. Readers will be able to consider themselves as big data experts on completion of this book. This guide is an invaluable tutorial if you are planning to implement a big data warehouse for your business. Style and approach An easy-to-follow guide that walks you through world of big data. Each tool in the Hadoop ecosystem is explained in detail and the recipes are placed in such a manner that readers can implement them sequentially. Plenty of reference links are provided for advanced reading.
Author : Ted Dunning,Ellen Friedman
Publisher : "O'Reilly Media, Inc."
Page : 104 pages
File Size : 41,5 Mb
Release : 2015-03-24
Category : Computers
ISBN : 9781491928929
If you’re a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues. You’ll learn about early decisions and pre-planning that can make the process easier and more productive. If you’re already using these technologies, you’ll discover ways to gain the full range of benefits possible with Hadoop. While you don’t need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects. Examine a day in the life of big data: India’s ambitious Aadhaar project Review tools in the Hadoop ecosystem such as Apache’s Spark, Storm, and Drill to learn how they can help you Pick up a collection of technical and strategic tips that have helped others succeed with Hadoop Learn from several prototypical Hadoop use cases, based on how organizations have actually applied the technology Explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production
Author : Jonathan R. Owens,Jon Lentz,Brian Femiano
Publisher : Packt Publishing Ltd
Page : 0 pages
File Size : 48,5 Mb
Release : 2013
Category : Apache Hadoop
ISBN : 1849519129
Realistic, simple code examples to solve problems at scale with Hadoop and related technologies
Author : Garry Turkington,Tanmay Deshpande,Sandeep Karanth
Publisher : Packt Publishing Ltd
Page : 979 pages
File Size : 41,8 Mb
Release : 2016-08-31
Category : Computers
ISBN : 9781787120457
Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets About This Book Conquer the mountain of data using Hadoop 2.X tools The authors succeed in creating a context for Hadoop and its ecosystem Hands-on examples and recipes giving the bigger picture and helping you to master Hadoop 2.X data processing platforms Overcome the challenging data processing problems using this exhaustive course with Hadoop 2.X Who This Book Is For This course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X. What You Will Learn Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer Installing and maintaining Hadoop 2.X cluster and its ecosystem Advanced Data Analysis using the Hive, Pig, and Map Reduce programs Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0 Dive into YARN and Storm and use YARN to integrate Storm with Hadoop Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS Federation In Detail As Marc Andreessen has said “Data is eating the world,” which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions. The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called “What just happened” for more clarity and understanding. The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark. Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop. So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable. When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes. Style and approach This course has covered everything right from the basic concepts of Hadoop till you master the advance mechanisms to become a big data expert. The goal here is to help you learn the basic essentials using the step-by-step tutorials and from there moving toward the recipes with various real-world solutions for you. It covers all the important aspects of Hadoop from system designing and configuring Hadoop, machine learning principles with various libraries with chapters illustrated with code fragments and schematic diagrams. This is a compendious course to explore Hadoop from the basics to the most advanced techniques available in Hadoop 2.X.
Author : Andrea Saccà
Publisher : Packt Publishing Ltd
Page : 434 pages
File Size : 49,6 Mb
Release : 2014-04-25
Category : Computers
ISBN : 9781783288243
Written in a step-by-step, tutorial style with a lot of code snippets and hands-on examples to create an advanced Magento theme from scratch, this book is tailor-made for web designers and developers. This book is great for developers and web designers who are looking to get a good grounding in how to create custom, responsive, and advanced Magento themes. Readers must have some experience with HTML, PHP, CSS, and Magento theme design. This book will be useful for anybody who already has knowledge of the Magento frontend structure.
Author : Ümit Demirbaga
Publisher : Springer Nature
Page : 299 pages
File Size : 46,9 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031556395
Author : Hrishikesh Vijay Karambelkar
Publisher : Packt Publishing Ltd
Page : 214 pages
File Size : 51,7 Mb
Release : 2018-10-31
Category : Computers
ISBN : 9781788994347
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.
Author : Anurag Shrivastava,Tanmay Deshpande
Publisher : Packt Publishing Ltd
Page : 316 pages
File Size : 55,5 Mb
Release : 2016-09-30
Category : Computers
ISBN : 9781783980314
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.
Author : Posts & Telecom Press,JONATHAN OWENS,Lentz Jon,Femiano Brian
Publisher : Packt Publishing Ltd
Page : 264 pages
File Size : 41,7 Mb
Release : 2024-05-16
Category : Computers
ISBN : 9781836205609
快速解决诸多Hadoop相关技术问题的实用技术手册 Key Features 文字简洁,易于读者理解 精挑细选,关注最重要的任务和问题 细心组织,提供高效的问题解决方案 讲解透彻,清晰解读每个操作步骤 举一反三,将解决方案应用到其他场景中 Book Description这是一本 Hadoop 实用手册,主要针对实际问题给出相应的解决方案。本书特色是以实践结合理论分析,手把手教读者如何操作,并且对每个操作都做详细的解释,对一些重要的知识点也做了必要的拓展。 全书共包括3个部分,第一部分为基础篇,主要介绍Hadoop数据导入导出、HDFS 的概述、Pig 与 Hive 的使用、ETL 和简单的数据处理,还介绍了MapReduce的调试方式;第二部分为数据分析高级篇,主要介绍高级聚合、大数据分析等技巧;第三部分为系统管理篇,主要介绍 Hadoop 的部署的各种模式、添加新节点、退役节点、快速恢复、MapReduce调优等。 本书适合各个层次的Hadoop技术人员阅读。通过阅读本书,Hadoop初学者可以使用Hadoop 来进行数据处理,Hadoop 工程师或者数据挖掘工程师可以解决复杂的业务分析, Hadoop系统管理员可以更好地进行日常运维。本书也可作为一本Hadoop技术手册,针对要解决的相关问题,在工作中随时查阅。What you will learn Hadoop数据的导入导出 HDFS概述 Pig与Hive的使用 ETL和简单的数据处理 MapReduce的调试方式 高级聚合 大数据分析 Hadoop的各种部署模式 为Hadoop添加新节点、退役节点、快速恢复 MapReduce调优 Who this book is for 本书适合各个层次的Hadoop技术人员阅读,通过阅读本书,Hadoop初学者可以使用Hadoop来进行数据处理,Hadoop工程师或者数据挖掘工程师可以解决复杂的业务分析,Hadoop系统管理员可以更好地进行日常运维。本书也可作为一本Hadoop技术手册,针对要解决的相关问题,在工作中随时查阅。
Author : Alla G. Kravets,Maxim Shcherbakov,Danila Parygin,Peter P. Groumpos
Publisher : Springer Nature
Page : 627 pages
File Size : 42,5 Mb
Release : 2021-09-15
Category : Computers
ISBN : 9783030870348
This book constitutes the proceedings of the 4th Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2021, held in Volgograd, Russia, in September 2021. The 39 full papers, 7 short papers, and 2 keynote papers presented were carefully reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven control: pro-active modeling in intelligent decision making support; design creativity in CASE/CAI/CAD/PDM; intelligent technologies in urban design and computing; Intelligent technologies in social engineering: data science in social networks analysis and cyber security; educational creativity and game-based learning; intelligent assistive technologies: software design and application.
Author : Anna M. Doro-on
Publisher : CRC Press
Page : 859 pages
File Size : 55,8 Mb
Release : 2022-09-27
Category : Political Science
ISBN : 9781000655926
This book provides multifaceted components and full practical perspectives of systems engineering and risk management in security and defense operations with a focus on infrastructure and manpower control systems, missile design, space technology, satellites, intercontinental ballistic missiles, and space security. While there are many existing selections of systems engineering and risk management textbooks, there is no existing work that connects systems engineering and risk management concepts to solidify its usability in the entire security and defense actions. With this book Dr. Anna M. Doro-on rectifies the current imbalance. She provides a comprehensive overview of systems engineering and risk management before moving to deeper practical engineering principles integrated with newly developed concepts and examples based on industry and government methodologies. The chapters also cover related points including design principles for defeating and deactivating improvised explosive devices and land mines and security measures against kinds of threats. The book is designed for systems engineers in practice, political risk professionals, managers, policy makers, engineers in other engineering fields, scientists, decision makers in industry and government and to serve as a reference work in systems engineering and risk management courses with focus on security and defense operations.
Author : Pradeep Kumar Singh,Bijaya Ketan Panigrahi,Nagender Kumar Suryadevara,Sudhir Kumar Sharma,Amit Prakash Singh
Publisher : Springer Nature
Page : 1144 pages
File Size : 40,8 Mb
Release : 2019-09-23
Category : Computers
ISBN : 9783030305772
This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.
