Hadoop Essence

The Beginner's Guide to Hadoop
Author: Nitin Kumar
Publisher: CreateSpace
ISBN: 9781500910648
Category: Computers
Page: 124
View: 1633
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Hadoop bought capabilities to store massive amount of data in distributed environment and provide the way to process them effectively. It's a distributed data processing system which support distributed file systems and it offers a way to parallelize and execute programs on a cluster of machines. It could be installed on cluster with using large number of commodities hardware which intern optimized the overall solution costs. Apache Hadoop already adopted by technologies giant such as Yahoo, Facebook, Twitter, LinkedIn etc. to address their big data needs, and it's making inroads across all industrial sectors Hadoop Essence is the basic guide for developer, architect, engineer and anyone who want to start leveraging Hadoop to build a distributed, scalable concurrent application. This book is a concise guide on getting started with Hadoop and Hive. It provides overall understanding on Hadoop and how it works and same time provide the sample code to speed up development with very minimum effort. It will refer to easy-to-explain concept & examples, as they are likely to be the best teaching aids. It will explain the logic, code, and configurations needed to build a successful, distributed, concurrent application, as well as the reason behind those decisions The book has been written considering for beginner and intermediate developer who want to get introduce in Hadoop. Table of Contents 1. Big Data 2. Hadoop 3. The Hadoop Distribution Filesystem(HDFS) 4. Getting Started with Hadoop 5. Interface to Access HDFS File System 6. MapReduce 7. YARN 8. Hive 9. Getting Started with Hive

Hadoop Beginner's Guide


Author: Garry Turkington
Publisher: Packt Publishing Ltd
ISBN: 1849517304
Category: Computers
Page: 398
View: 4333
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Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills. "Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems. Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems. While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection. In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.

BIG DATA ANALYTICS

Introduction to Hadoop, Spark, and Machine-Learning
Author: Raj Kamal,Preeti Saxena
Publisher: McGraw-Hill Education
ISBN: 9353164974
Category: Computers
Page: 534
View: 9584
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Big Data Analytics(BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations, sample codes, case studies and real-life analytics of datasets such as toys, chocolates, cars, and student’s GPAs. The book will serve the interests of undergraduate and post graduate students of computer science and engineering, information technology, and related disciplines. It will also be useful to software developers. Salient Features: - Comprehensive coverage on Big Data NoSQL Column-family, Object and Graph databases, programming with open-source Big Data - Hadoop and Spark ecosystem tools, such as MapReduce, Hive, Pig, Spark, Python, Mahout, Streaming, GraphX - Inclusion of latest topics machine learning, K-NN, predictive-analytics, similar and frequent item sets, clustering, decision-tree, classifiers recommenders, real-time streaming data analytics, graph networks, text, web structure, web-links, social network analytics. - Web supplement includes instructional PPT’s, solution of exercises, analysis using open source datasets of a car company, and topics for advanced learning.

Hadoop: Data Processing and Modelling


Author: Garry Turkington,Tanmay Deshpande,Sandeep Karanth
Publisher: Packt Publishing Ltd
ISBN: 1787120457
Category: Computers
Page: 979
View: 6188
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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.

Learning Hadoop 2


Author: Garry Turkington,Gabriele Modena
Publisher: Packt Publishing Ltd
ISBN: 1783285524
Category: Computers
Page: 382
View: 7866
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If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.

Hadoop Practice Guide

SQOOP, PIG, HIVE, HBASE for Beginners
Author: Jisha Mariam Jose
Publisher: Notion Press
ISBN: 1645877523
Category: Juvenile Nonfiction
Page: 236
View: 6797
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This book is a complete practical approach for Hadoop lovers. It is mainly aimed at beginners who want to have a hands-on experience with Hadoop and its ecosystem. Its simplicity and step-by-step explanation will help students and other readers in the computer science industry to use this book as a reference manual. The book has been divided into various chapters that cover Hadoop installation, Summary on Hadoop core components, General commands in Hadoop with examples, SQOOP-import & export commands with verification steps, Pig Latin Commands, Analysis using Pig Latin, Pig Script examples, HiveQL Queries and expected outputs and HBase with CRUD operations. In short, this book is a guide for programmers and non-programmers to begin their projects in Hadoop. It is also suitable as a reference manual for students and professionals who are new to the Hadoop Ecosystems.

Big data

La revolución de los datos masivos
Author: Viktor Mayer-Schönberger,Kenneth Cukier
Publisher: Turner
ISBN: 8415427816
Category: Computers
Page: N.A
View: 2783
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Un análisis esclarecedor sobre uno de los grandes temas de nuestro tiempo, y sobre el inmenso impacto que tendrá en la economía, la ciencia y la sociedad en general. Los datos masivos representan una revolución que ya está cambiando la forma de hacer negocios, la sanidad, la política, la educación y la innovación. Dos grandes expertos en la materia analizan qué son los datos masivos, cómo nos pueden cambiar la vida, y qué podemos hacer para defendernos de sus riesgos. Un gran ensayo, único en español, pionero en su campo, y que se adelanta a una tendencia que crece a un ritmo frenético.

Handbook of IoT and Big Data


Author: Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Publisher: CRC Press
ISBN: 042962493X
Category: Computers
Page: 340
View: 3905
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This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data

PHP and MongoDB Web Development Beginner¿s Guide


Author: Rubayeet Islam
Publisher: Packt Publishing Ltd
ISBN: 1849513635
Category: Computers
Page: 292
View: 3607
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Annotation With the rise of Web 2.0, the need for a highly scalable database, capable of storing diverse user-generated content is increasing. MongoDB, an open-source, non-relational database has stepped up to meet this demand and is being used in some of the most popular websites in the world. MongoDB is one of the NoSQL databases which is gaining popularity for developing PHP Web 2.0 applications.PHP and MongoDB Web Development Beginners Guide is a fast-paced, hands-on guide to get started with web application development using PHP and MongoDB. The book follows a Code first, explain later approach, using practical examples in PHP to demonstrate unique features of MongoDB. It does not overwhelm you with information (or starve you of it), but gives you enough to get a solid practical grasp on the concepts.The book starts by introducing the underlying concepts of MongoDB. Each chapter contains practical examples in PHP that teache specific features of the database.The book teaches you to build a blogging application, handle user sessions and authentication, and perform aggregation with MapReduce. You will learn unique MongoDB features and solve interesting problems like real-time analytics, location-aware web apps etc. You will be guided to use MongoDB alongside MySQL to build a diverse data back-end.With its concise coverage of concepts and numerous practical examples, PHP and MongoDB Web Development Beginners Guide is the right choice for the PHP developer to get started with learning MongoDB.

La señal y el ruido

Cómo navegar por la maraña de datos que nos inunda, localizar los que son relevantes y utilizarlos para elaborar predicciones infalibles
Author: Nate Silver
Publisher: Grupo Planeta Spain
ISBN: 849942323X
Category: Mathematics
Page: N.A
View: 2629
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El ser humano está obligado a planifi car. A prever lo que podría ocurrir, para estar preparado. Pero el mundo cada vez va más rápido, y la información de que disponemos se acumula a un ritmo cada vez mayor. Cualquier intento de organizar los datos que nos llegan y de utilizarlos para dilucidar qué podría ocurrir a continuación puede llevar al colapso y al aturdimiento. En este libro, Nate Silver, especialista en predicciones —saltó a la fama durante la segunda campaña presidencial de Obama, en la que predijo casi al milímetro el número de votos que le darían la victoria— investiga cómo podemos distinguir, en medio del universo de datos que nos rodean, la información que es valiosa de la que no lo es. Visita para ello a expertos en todo tipo de áreas (personas cuyo trabajo consiste en prevenir huracanes y personas que tratan de prever quién ganará un partido determinado de béisbol; personas que juegan al póker y tratan de predecir los movimientos del contrario y personas que trabajan en el mercado de valores y tratan de adelantarse a las subidas y bajadas del mercado) y recopila sus métodos para aprender de ellos.

Virtualbox Guide for Beginners


Author: Robert Collins
Publisher: Createspace Independent Publishing Platform
ISBN: 9781546948643
Category:
Page: 62
View: 8046
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This book is a guide on how to use VirtualBox. It begins by guiding you on how to get started with VirtualBox by installing and configuring it in Linux, Windows, Mac OS X, and Solaris platforms. You are then guided on how to create your first virtual machine in the VirtualBox. The process of creating a Hadoop cluster in VirtualBox is also discussed. This has been explained in a step-by-step manner to help you grasp every concept. With VM groups, one can group together virtual machines. With this, a single action can be applied to all the virtual machines which are contained in the group. This book guides you on how to create a VM group in VirtualBox. You are also shown how to emulate a network by use of common networking devices such as routers and PCs in a VirtualBox. The VirtualBox extension pack is very essential, as it helps us accomplish much in a VirtualBox. This book teaches you how to install and set it up in VirtualBox. The book also guides you on how you can share folders between the guest and the host in a VirtualBox. The process of adding new drives to the virtual machines is explored. The following topics are discussed in this book: - Getting Started with VirtualBox - Creating the First Virtual Machine - Creating a Hadoop Cluster - Creating and Managing VM Groups - Emulating a Network in VirtualBox - Installing VirtualBox Extension Pack - Sharing Folders between Host and Guest in VirtualBox - Adding a New Drive to Virtual Machines

Big Data for Chimps

A Guide to Massive-Scale Data Processing in Practice
Author: Philip (flip) Kromer,Russell Jurney
Publisher: "O'Reilly Media, Inc."
ISBN: 1491923903
Category: Computers
Page: 220
View: 6800
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Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them

Apache Spark 2 for Beginners


Author: Rajanarayanan Thottuvaikkatumana
Publisher: Packt Publishing Ltd
ISBN: 178588669X
Category: Computers
Page: 332
View: 2232
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Develop large-scale distributed data processing applications using Spark 2 in Scala and Python About This Book This book offers an easy introduction to the Spark framework published on the latest version of Apache Spark 2 Perform efficient data processing, machine learning and graph processing using various Spark components A practical guide aimed at beginners to get them up and running with Spark Who This Book Is For If you are an application developer, data scientist, or big data solutions architect who is interested in combining the data processing power of Spark from R, and consolidating data processing, stream processing, machine learning, and graph processing into one unified and highly interoperable framework with a uniform API using Scala or Python, this book is for you. What You Will Learn Get to know the fundamentals of Spark 2 and the Spark programming model using Scala and Python Know how to use Spark SQL and DataFrames using Scala and Python Get an introduction to Spark programming using R Perform Spark data processing, charting, and plotting using Python Get acquainted with Spark stream processing using Scala and Python Be introduced to machine learning using Spark MLlib Get started with graph processing using the Spark GraphX Bring together all that you've learned and develop a complete Spark application In Detail Spark is one of the most widely-used large-scale data processing engines and runs extremely fast. It is a framework that has tools that are equally useful for application developers as well as data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup. Then the Spark programming model is introduced through real-world examples followed by Spark SQL programming with DataFrames. An introduction to SparkR is covered next. Later, we cover the charting and plotting features of Python in conjunction with Spark data processing. After that, we take a look at Spark's stream processing, machine learning, and graph processing libraries. The last chapter combines all the skills you learned from the preceding chapters to develop a real-world Spark application. By the end of this book, you will have all the knowledge you need to develop efficient large-scale applications using Apache Spark. Style and approach Learn about Spark's infrastructure with this practical tutorial. With the help of real-world use cases on the main features of Spark we offer an easy introduction to the framework.

Hbase for Beginners


Author: Lara Harding
Publisher: Createspace Independent Publishing Platform
ISBN: 9781539780694
Category:
Page: 86
View: 5475
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HBase is an open source, non-relational, distributed database modeled after Google's BigTable and is written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed Filesystem), providing BigTable-like capabilities for Hadoop. That is, it provides a fault-tolerant way of storing large quantities of sparse data (small amounts of information caught within a large collection of empty or unimportant data, such as finding the 50 largest items in a group of 2 billion records, or finding the non-zero items representing less than 0.1% of a huge collection). This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Apache Flume: Distributed Log Collection for Hadoop - Second Edition


Author: Steve Hoffman
Publisher: Packt Publishing Ltd
ISBN: 1784399140
Category: Computers
Page: 178
View: 2883
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If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed.

Aprende SQL


Author: Alan Beaulieu
Publisher: Anaya Multimedia-Anaya Interactiva
ISBN: 9788441526372
Category: Business & Economics
Page: 384
View: 3456
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SQL es un lenguaje de programación destinado a generar, manipular y recuperar información de una base de datos relacional. No depende de sí mismo, sino que lo invocan otros programas escritos en lenguajes de uso general, como por ejemplo C++, Java, Python y Perl. Uno de los motivos por el que estas bases de datos son tan populares es porque basándose en un diseño relacional adecuado, pueden llegar a gestionar grandes cantidades de datos. Actualizada para los sistemas de gestión de bases de datos actuales (entre los que se incluyen MySQL 6.0, Oracle 11g y Microsoft SQL Server 2008), con esta guía aprenderá SQL rápido y cómodamente. Independientemente de sus necesidades (escribir aplicaciones de bases de datos, realizar tareas administrativas, generar informes...), la segunda edición de este libro le ayudará a dominar sin esfuerzo los fundamentos del lenguaje SQL.

Python 3


Author: Mark Summerfield
Publisher: Anaya Multimedia-Anaya Interactiva
ISBN: 9788441526136
Category: Business & Economics
Page: 512
View: 8701
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Python 3 es, hasta la fecha, la mejor versión de este lenguaje: es más potente, práctico, consistente y expresivo que cualquier versión anterior. Ahora, el destacado programador de Python, Mark Summerfield, nos demuestra cómo codificar aprovechando todas las características y estilos de esta nueva versión. En este libro se reúnen todos los conocimientos necesarios para escribir cualquier programa, utilizar cualquier biblioteca Python 3 estándar o de un tercero, y crear nuevos módulos de bibliotecas propias. Este manual trata áreas tan interesantes como la creación de paquetes y módulos a medida, la escritura y lectura de archivos binarios, de texto y XML, la creación de aplicaciones GUI útiles y eficientes o técnicas de programación avanzada, como generadores, decoradores de clase y función, administradores de contexto, etc.

Inteligencia artificial

un enfoque moderno
Author: Stuart J. Russell,Peter Norvig
Publisher: PRENTICE HALL
ISBN: 9788420540030
Category: Technology & Engineering
Page: 1212
View: 6148
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Inteligencia Artificial

Piense como un gran maestro


Author: Alexander Kotov
Publisher: Editorial Fundamentos
ISBN: 9788424503512
Category: Games
Page: 192
View: 5023
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Curso de SQL


Author: Anthony Molinaro
Publisher: Anaya Multimedia-Anaya Interactiva
ISBN: 9788441520417
Category: Business & Economics
Page: 703
View: 1260
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Debido a la diversidad de lenguajes y de bases de datos existentes, la manera de comunicarse entre ambos sería realmente complicada de gestionar de no ser por la existencia de estándares que permiten realizar las operaciones básicas de forma universal. De eso trata SQL, un lenguaje estándar de comunicación con bases de datos normalizado que permite trabajar con cualquier tipo de lenguaje (ASP o PHP) en combinación con cualquier tipo de base de datos. Curso de SQL muestra las operaciones básicas que se pueden realizar con este lenguaje de acceso a bases de datos relacionales y que tienen una aplicación directa en la creación de aplicaciones en red. Se trata de una recopilación de problemas habituales y sus soluciones respectivas que le resultarán de ayuda en su trabajo diario y le permitirán resolver las dificultades de programación a las que se enfrenta el usuario de SQL. Este libro es un manual de referencia con el que estará en disposición de completar cualquier operación sobre una base de datos, conociendo la sintaxis estándar de SQL y en muchos casos los aspectos específicos de cada producto.