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210123 ||| eng |
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|a 9781118903841
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|a 1118903404
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|a 1118903846
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|a HD38.7
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| 100 |
1 |
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|a Williamson, Jason
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| 245 |
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|a Getting a Big Data Job For Dummies
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| 260 |
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|a Hoboken
|b Wiley
|c 2014
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| 300 |
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|a 268 pages
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|a Chapter 3: Key Big Data ConceptsThe Four V's of Big Data; Volume; Variety; Veracity; Velocity; Value; Building a Big Data Platform; Looking into Big Data Use Cases; Big data in risk and compliance; Big data in financial services; Big data in healthcare; Big data in government; Big data in retail; Part II: Getting Your Big Data Education; Chapter 4: Roles in Big Data Revealed; Big Data Jobs for Business Analysts; Assessing your interest; Looking at a job posting; Big Data Jobs for Data Scientists; Assessing your interest; Looking at a job posting; Big Data Jobs for Software Developers
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|a Title Page; Copyright Page; Contents at a Glance; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I: Getting a Job in Big Data; Chapter 1: The Big Picture of Big Data Jobs; How We Got Here and Where We're Headed; Why companies care about big data; The future of big data jobs; Exploring Big Data Career Paths; Not everyone is a data scientist; Requirements of big data professionals; Looking at Organizations That Hire Big Data Professionals; Public sector and academia; Commercial organizations
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| 505 |
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|a Corporate information technologyMarketing departments and business units; Big data firms; Consulting companies; Chapter 2: Seeing Yourself in a Big Data Job; Planning Your Journey into a New Frontier; Finding a Future Career in Big Data; The growth of big data jobs; Predictions for the next several years; Sizing Up Your Skills; Evaluating your aptitude for big data; Doing a self-assessment plan; Finding your gaps; Charting Your Path; When to fill the gaps with education; Filling gaps with experience; Planning your milestones and timeline; Measuring your results
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| 505 |
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|a Step 3: Mind the gapStep 4: Acquire knowledge; Step 5: Look back; Chapter 7: Knowing Your Big Data Tools; Database Tools You Need to Know; Relational databases and SQL; NoSQL; Big Data Framework Technologies; The Hadoop framework; Pig; Hive; Spark; Analysis Tools You Should Know; Business analytics or business intelligence tools; Visualization tools; Sentiment analysis tools; Machine learning; Keeping Current with Market Developments; Part III: Finding a Job with the Right Organization; Chapter 8: Life as a Consultant; What Is a Consultant Anyway?; Types of consultants
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|a Assessing your interestLooking at sample job postings; Chapter 5: Foundations of a Big Data Education; What's Your Major? Undergraduate Majors That Fill Big Data Jobs; Math and statistics; Computer science and engineering; Business; Continuing Education and Graduate School; Programs in analytics; PhD programs for big data; Chapter 6: Making Your Own Way (For the Experienced Professional); Learning on Your Own Time; Hitting the books; Online tutorials; Online communities; On-the-job training; Building Your Own Big Data Test Lab; Step 1: Define your goals; Step 2: Take a skills inventory
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| 653 |
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|a Big data / Vocational guidance
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| 653 |
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|a BUSINESS & ECONOMICS / General / bisacsh
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| 653 |
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|a Exploration de données (Informatique) / Orientation professionnelle
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| 653 |
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|a Data mining / Vocational guidance
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| 653 |
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|a COMPUTERS / General / bisacsh
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| 653 |
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|a Données volumineuses / Orientation professionnelle
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
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|a For dummies
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| 500 |
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|a Who's who in the consulting industry
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| 776 |
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|z 9781118903834
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| 776 |
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|z 9781118903841
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| 776 |
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|z 1118903846
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| 776 |
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|z 1118903838
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| 776 |
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|z 9781118903407
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781118903841/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 331.702
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|a 330
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|a 658.4038
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| 520 |
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|a Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what ""big data"" means, why it's so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade. This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide. Companies from all industries, including finance, technology, medici
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