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Data Processing eBooks

If you like Data Processing eBooks, then you'll love these top picks.
Showing 49 - 72 of 3218 Results
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  • Data Management at Scale

    Modern Data Architecture with Data Mesh and Data Fabric

    As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture ... Read more

    $43.19 USD

  • Business Intelligence Strategy and Big Data Analytics

    A General Management Perspective

    Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues ... Read more

    $35.99 USD

  • The Economics of Data, Analytics, and Digital Transformation

    The theorems, laws, and empowerments to guide your organization's digital transformation

    by Bill Schmarzo ...
    Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine LearningKey FeaturesMaster the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindsetAcquire implementable knowledge on digital ... Read more

    $34.19 USD

  • SuperFreakonomics

    Global Cooling, Patriotic Prostitutes, and Why Suicide Bombers Should Buy Life Insurance

    Freakonomics lived on the New York Times bestseller list for an astonishing two years. Now authors Steven D. Levitt and Stephen J. Dubner return with more iconoclastic insights and observations in SuperFreakonomics—the long awaited follow-up to their New York Times Notable blockbuster. Based on revolutionary research and original studies, SuperFreakonomics promises to once again challenge our view ... Read more

    $12.19 USD

  • Fundamentals of Data Engineering

    Plan and Build Robust Data Systems

    Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle ... Read more

    $48.99 USD

  • Big Data Now: 2012 Edition

    The Big Data Now anthology is relevant to anyone who creates, collectsor relies upon data. It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes.In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. ... Read more

    Free

  • Planning for Big Data

    In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative.As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies ... Read more

    Free

  • Big Data Now: Current Perspectives from O'Reilly Radar

    This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:Data issues ... Read more

    Free

  • Real-Time Big Data Analytics: Emerging Architecture

    by Mike Barlow ...
    Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report ... Read more

    Free

  • On Being a Data Skeptic

    by Cathy O'Neil ...
    "Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models ... Read more

    Free

  • Mulheres invisíveis

    O viés dos dados em um mundo projetado para homens

    Translated by Renata Guerra ...
    Como a coleta e o uso dos dados contribuem para o enorme desequilíbrio entre as experiências de homens e mulheres na sociedadeDesde o controle do fogo e o domínio da agricultura até as evoluções tecnológicas da atualidade, as conquistas dos seres humanos sempre começaram com a observação do mundo, algo conhecido hoje como coleta de dados. Como base da ciência, são os dados que determinam a ... Read more

    $11.99 USD

  • Data Science from Scratch

    First Principles with Python

    by Joel Grus ...
    Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some ... Read more

    $36.79 USD

  • Building Data Science Teams

    by DJ Patil ...
    As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data ... Read more

    Free

  • Database Internals

    A Deep Dive into How Distributed Data Systems Work

    by Alex Petrov ...
    When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.Throughout the book, ... Read more

    $41.09 USD

  • How Data Happened

    A History from the Age of Reason to the Age of Algorithms

    **“Fascinating.” —Jill Lepore, The New YorkerA sweeping history of data and its technical, political, and ethical impact on our world.**From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But ... Read more

    $12.99 USD

  • Analyzing the Analyzers

    An Introspective Survey of Data Scientists and Their Work

    Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their ... Read more

    Free

  • Spark: The Definitive Guide

    Big Data Processing Made Simple

    Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ? ... Read more

    $43.19 USD

  • Natural Language Processing with Transformers, Revised Edition

    Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library ... Read more

    $41.09 USD

  • Kafka: The Definitive Guide

    Real-Time Data and Stream Processing at Scale

    Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient ... Read more

    $48.99 USD

  • Behind Every Good Decision

    How Anyone Can Use Business Analytics to Turn Data into Profitable Insight

    There is a misconception in business that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. However, nothing could be further from the truth.If you feel that you can’t understand how to read, let alone implement, these complex software programs that crunch the data and spit out more data, that will no longer be a ... Read more

    $12.79 USD

  • QlikView 11 for Developers

    This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide.

    This book is smartly built around a practical case study ñ HighCloud Airlines ñ to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide.Key FeaturesLearn to build applications for Business Intelligence while following a practical case -- HighCloud Airlines. Each chapter develops parts of the application and it ... Read more

    $37.79 USD

  • Getting Started with Arduino and Node.js

    This book helps to anyone to learn how to integrate Arduino hardware and node.js.***TOC**PrefacePreparing Development Environment1.1 Arduino1.1.1 Arduino Uno1.1.2 Arduino Leonardo1.1.3 Arduino Mega 25601.1.4 Arduino Due1.2 Electronic Components1.2.1 Arduino Starter Kit1.2.2 Fritzing1.2.3 Cooking-Hacks: Arduino Starter Kit1.2.4 Arduino Sidekick Basic kit1.3 Node.js1.4 Arduino So... ... Read more

    $4.01 USD

  • Data Pipelines Pocket Reference

    Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.You'll learn common considerations and key decision points when implementing ... Read more

    $18.79 USD

  • Doing Data Science

    Straight Talk from the Frontline

    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Read more

    $28.09 USD