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  • Big Data con Hadoop

    Series Libro 6 - Data Science
    Hadoop è un progetto open source che permette di analizzare enormi quantità di dati distribuiti su cluster e file system differenti. Progettato per essere scalabile da un singolo server fino a migliaia di macchine, Hadoop si occupa anche di gestire problemi e guasti a livello applicativo - piuttosto che hardware - contribuendo a ottimizzare il mantenimento dei dati archiviati. Questo libro è ... Leer más

    $29.99 USD o gratis con Kobo Plus

  • Learning Hadoop 2

    About This BookConstruct state-of-the-art applications using higher-level interfaces and tools beyond the traditional MapReduce approachUse the unique features of Hadoop 2 to model and analyze Twitter's global stream of user generated dataDevelop a prototype on a local cluster and deploy to the cloud (Amazon Web Services)Who This Book Is ForIf you are a system or application developer interested ... Leer más

    $29.99 USD o gratis con Kobo Plus

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  • Backup & Recovery

    Inexpensive Backup Solutions for Open Systems

    Packed with practical, freely available backup and recovery solutions for Unix, Linux, Windows, and Mac OS X systems -- as well as various databases -- this new guide is a complete overhaul of Unix Backup & Recovery by the same author, now revised and expanded with over 75% new material.Backup & Recovery starts with a complete overview of backup philosophy and design, including the basic backup ... Leer más

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  • I Heart Logs

    Event Data, Stream Processing, and Data Integration

    de Jay Kreps ...
    Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention.Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then ... Leer más

    $21.99 USD

  • Field Guide to Hadoop

    An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies

    If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You’ll quickly understand how Hadoop’s projects, subprojects, and ... Leer más

    $24.99 USD

  • Hadoop MapReduce v2 Cookbook

    Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets

    Key FeaturesBook DescriptionIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of ... Leer más

    $31.99 USD o gratis con Kobo Plus

  • Hadoop Security

    Protecting Your Big Data Platform

    As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security ... Leer más

    $30.99 USD

  • Practical Machine Learning: A New Look at Anomaly Detection

    Finding Data Anomalies You Didn't Know to Look ForAnomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying ... Leer más

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  • Big Data Analytics with Spark

    A Practitioner's Guide to Using Spark for Large Scale Data Analysis

    Series series Professional and Applied Computing (R0)
    Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become ... Leer más

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  • Getting Started with Impala

    Interactive SQL for Apache Hadoop

    de John Russell ...
    Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala—the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future ... Leer más

    $18.99 USD

  • Big Data

    Principles and Paradigms

    Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the ... Leer más

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