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  • Magoulas, Roger  (11)
  • Sebastopol, CA : O'Reilly Media  (11)
  • Electronic books ; local  (11)
  • Cloud computing
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  • 1
    Online-Ressource
    Online-Ressource
    2017 software development salary survey : tools, trends, titles : what pays (and what doesn't) for programming professionals (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, map
    Ausgabe: First edition.
    Schlagwort(e): Computer programmers ; Salaries, etc ; Computer software ; Development ; Computer industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Kurzfassung: The results from O'Reilly's second annual Software Development Salary Survey are in. This anonymous online survey ran last fall and attracted more than 6,800 programmers, tech leads, managers, and students-an increase of more than 1,000 respondents compared to 2016. Respondents hailed from 110 countries, as well as all 50 US states and the District of Columbia. This report explores the landscape of professionals working in all facets of software development, including the relationship between roles, location, company size, industry, and earnings. If you're looking to change jobs, about to have your annual employee review, or moving to a new town, this report will help you benchmark your skills and salary expectations. You'll learn where you fit and how you might leverage these potentially career-changing findings. With this report, you'll learn: The top programming languages that respondents currently use professionally Where programmers make the highest salaries-by country and by regions in the US Salary ranges by industry and by specific programming language The difference in earnings between programmers who work on tiny teams vs. those work on larger teams The most common programming languages that respondents no longer use in their work Which programming languages respondents intend to learn within the next couple of years We hope you will find the information in this report useful. To stay up-to-date on this research, your participation is crucial. The survey is now open for the 2018 report, and we encourage you to take just 5 to 10 minutes to participate here: oreilly.com/programming/2018-programming​-salary-survey.html.
    Anmerkung: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491990698/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 2
    Online-Ressource
    Online-Ressource
    2017 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, maps
    Ausgabe: First edition.
    Schlagwort(e): Electronic data processing personnel ; Salaries, etc ; Information scientists ; Salaries, etc ; Electronic data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Get a clear picture of the salaries and bonuses data science professionals around the world receive, as well as the tools and cloud providers they use, the tasks they perform, and how interpersonal ("soft") skills might affect their pay. The fifth edition of O'Reilly's online Data Science Salary Survey provides complete results from nearly 800 participants from 69 different countries, 42 different US states, and Washington, DC. With five years of data, the survey's results are consistent enough to reliably identify changes and trends. The survey asked specific questions about industry, team, and company size, but also posed questions such as, "How easy is it to move to another position?" or "What is your next career step?" You can plug in your own data points to the survey model and see how you compare to other data science professionals in your industry. With this report, you'll learn: Where data scientists make the highest salaries-by country and by US state Tools that respondents most commonly use on the job, and tools that contribute most to salary Activities that contribute to higher earnings How gender and bargaining skills affect salaries when all other factors are equal Salary differences between those using open source tools vs those using proprietary tools How the increase in respondents outside of the US signal a rise in international companies starting and growing data organizations Participate in the 2018 Survey: Spend just 5 to 10 minutes and take the anonymous salary survey here: https://www.oreilly.com/ideas/take-the-​data-science-salary-survey .
    Anmerkung: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491997079/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
    MPI Ethno. Forsch.
  • 3
    Online-Ressource
    Online-Ressource
    2017 European data science salary survey (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Electronic data processing personnel ; Salaries, etc ; Europe ; Information scientists ; Salaries, etc ; Europe ; Electronic data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: How do data science salaries for people in Europe compare to their counterparts in the rest of the world? Among the more than 1000 people who responded to O'Reilly's 2016 Data Science Salary Survey, 359 live and work in various European countries as data scientists, analysts, engineers, and related professions. This report takes a deep dive into the survey results from respondents in various regions of Europe, including the tools they use, the compensation they receive, and the roles they play in their respective organizations. Even if you didn't take part in the survey, you can still plug your own information into the survey's simple linear model to see where you fit. With this report, you'll learn: How salaries vary by country and specific regions in Europe Average size of companies by region How salary is affected by a country's GDP Top industries for data scientists, including software, banking, finance, retail, and ecommerce Most commonly used tools vs tools used by respondents with above-average salaries Primary and secondary job tasks performed by survey respondents To stay up-to-date on this research, your participation is crucial. The survey is now open for the 2017 report; please take just 5 to 10 minutes to participate in the survey here .
    Anmerkung: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049203/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
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  • 4
    Online-Ressource
    Online-Ressource
    2017 design salary survey : tools, trends, titles, what pays (and what doesn't) for design professionals (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Computer industry ; Employees ; Salaries, etc ; Web site development industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Kurzfassung: The results of O'Reilly's second annual Design Salary Survey are in. Conducted last autumn, the anonymous online survey attracted more than 1,000 designers, UX/UI specialists, and others in the design space in 48 countries throughout the world. This in-depth report presents complete survey results, including compensation, specific roles and tasks, company size, organizational processes, and tools used. Curious how you would do in a different location, or how different skills and responsibilities might affect your salary? Check out this free report to learn about these potentially career-changing findings, and find out how to plug your own information into the survey's simple linear model. In this report, you'll learn: The industries and regions of the world with the highest design professional salaries How company size correlates to median salaries The tools (e.g. GitHub, Sketch) and design processes (e.g. Agile) that respondents use most often The range of tasks that respondents perform, including user research, usability testing, information architecture, and project management How salaries compare for job titles such as director, manager, consultant, developer, analyst, and designer To stay up to date on this research, your participation is critical. The survey is now open for the 2018 report, and if you can spare just 10 minutes of your time, we encourage you to go to the 2018 Design Salary Survey.
    Anmerkung: Description based on online resource; title from title page (viewed February 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491983379/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
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  • 5
    Online-Ressource
    Online-Ressource
    2016 design salary survey : tools, trends, titles, what pays (and what doesn't) for design professionals (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Computer industry ; Employees ; Salaries, etc ; Web site development industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Kurzfassung: This past autumn, O'Reilly Media for the first time conducted an anonymous online survey of salaries of designers, UX/UI specialists, and others in the design space. This in-depth report presents complete survey results which demonstrate how variables such as job title, location, use of specific tools, and the types of tasks performed affect salary and other compensation. The survey attracted more than 300 designers, managers, and directors from 25 countries. Most of them work onweb and mobile products or connected devices in a wide variety of industries. Respondents' median salaries have been sorted according to: Work location (country or US region), age, gender, and education Job title, such as director, manager, consultant, developer, analyst, and designer Company size, products and services produced, team size, and design processes used Professionals they work with most, including programmers, other designers, and product managers A range of tasks, including user research, usability testing, information architecture, UI design, prototyping, and project management Tools used most often, from Dropbox, Slack, and GitHub to Adobe Illustrator, Sketch, and InVision, to Google Analytics and HTML/CSS Curious how you would do in a different location, or how different skills and responsibilities might affect your salary? Download this free report to gain insight from these potentially career-changing findings, and learn how to plug your own information into the survey's linear model. To stay up to date on this research, your participation is critical. The survey is now open for the 2017 report, and if you can spare just 10 minutes of your time, we encourage you to go to http://www.oreilly.com/design/2017-​design-salary-survey.html .
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042259/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
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  • 6
    Online-Ressource
    Online-Ressource
    2016 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, maps
    Ausgabe: Fourth edition.
    Schlagwort(e): Electronic data processing personnel ; Salaries, etc ; Information scientists ; Salaries, etc ; Electronic data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: In this fourth edition of O'Reilly's Data Science Salary Survey, 983 respondents working across a variety of industries answered questions about the tools they use, the tasks they engage in, and the salaries they make. This year's survey includes data scientists, engineers, and others in the data space from 45 countries and 45 US states. The 2016 survey included new questions, most notably about specific data-related tasks that may affect salary. Plug in your own data points to the survey model and see how you compare to other data science professionals in your industry. With this report, you'll learn: Where data scientists make the highest salaries-by country and by US state Tools that respondents most commonly use on the job, and tools that contribute most to salary Two activities that contribute to higher earnings among respondents How gender and bargaining skills affect salaries when all other factors are equal Salary differences between those using open source tools vs those using proprietary tools Salary differences between those who rely on Python vs those who use several tools Participate in the 2017 Survey The survey is now open for the 2017 report. Spend just 5 to 10 minutes and take the anonymous salary survey here: https://www.oreilly.com/ideas/take-the-2​017-data-science-salary-survey .
    Anmerkung: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049029/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 7
    Online-Ressource
    Online-Ressource
    2016 software development salary survey : tools, trends, titles : what pays (and what doesn't) for programming professionals (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, maps
    Ausgabe: First edition.
    Schlagwort(e): Computer programmers ; Salaries, etc ; Computer software ; Development ; Computer industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Kurzfassung: Early this year, more than 5000 software engineers, developers, and other programming professionals participated in O'Reilly Media's first Software Development Salary Survey. Participants included professionals from large and small companies in a variety of industries across 51 countries and all 50 US states. With the complete survey results in this in-depth report, you'll be able to explore the world of software development-and the careers that propel it-in great detail. With this report, you'll learn: The top programming languages that respondents currently use professionally Where programmers make the highest salaries-by country and by regions in the US Salary ranges by industry and by specific programming language The difference in earnings between programmers who work on tiny teams vs those work on larger teams The most common programming languages that respondents no longer use in their work The most common languages that respondents intend to learn within the next couple of years Pick up a copy of this report and find out where you stand in the programming world. We encourage you to plug in your own data points to our survey model to see how you compare to other programming professionals in your industry.
    Anmerkung: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042549/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 8
    Online-Ressource
    Online-Ressource
    2015 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, maps
    Ausgabe: Third edition.
    Schlagwort(e): Information services industry ; Wages ; Information services industry ; Computer scientists ; Salaries, etc ; Statisticians ; Salaries, etc ; Information technology ; Electronic books ; Electronic books ; local
    Kurzfassung: For the third consecutive year, O'Reilly Media conducted an anonymous survey to expose the tools that successful data scientists and engineers use, and how those tool choices might relate to their salary. For the 2015 version of the Data Science Salary Survey, we heard from over 600 respondents who work in and around the data space for a variety of industries across 47 countries and 38 U.S. states. The research was based on data collected through an online 32-question survey, including demographic information, time spent on various data-related tasks, and the use or non-use of 116 software tools. Findings include: Average number of tools and median income for all respondents Distribution of responses by a variety of factors, including age, gender, location, industry, role, and cloud computing Detailed analysis of tool use, including tool clusters Correlation of tool usage and salary Download this free in-depth report to gain insight from these potentially career-changing findings, and plug your own variables into one of the linear models to predict your own salary. The survey is now open for the 2016 report, and it takes just 5 to 10 minutes to complete: http://www.oreilly.com/go/ds-salary-​survey-2016 .
    Anmerkung: Description based on online resource; title from title page (viewed January 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492048640/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 9
    Online-Ressource
    Online-Ressource
    Navigating the health data ecosystem (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume)
    Ausgabe: First edition.
    Schlagwort(e): Medical records ; Data processing ; Medical records ; Access control ; Medical care ; Computer network resources ; Information storage and retrieval systems ; Medical care ; Electronic books ; Electronic books ; local
    Kurzfassung: Data-driven technologies are now being adopted, developed, funded, and deployed throughout the health care market at an unprecedented scale. But, as this O'Reilly report reveals, health care innovation contains more hurdles and requires more finesse than many tech startups expect. By paying attention to the lessons from the report's findings, innovation teams can better anticipate what they'll face, and plan accordingly. Simply put, teams looking to apply collective intelligence and "big data" platforms to health and health care problems often don't appreciate the messy details of using and making sense of data in the heavily regulated hospital IT environment. Download this report today and learn how it helps prepare startups in six areas: Complexity: An enormous domain with noisy data not designed for machine consumption Computing: Lack of standard, interoperable schema for documenting human health in a digital format Context: Lack of critical contextual metadata for interpreting health data Culture: Startup difficulties in hospital ecosystems: why innovation can be a two-edged sword Contracts: Navigating the IRB, HIPAA, and EULA frameworks Commerce: The problem of how digital health startups get paid This report represents the initial findings of a study funded by a grant from the Robert Wood Johnson Foundation. Subsequent reports will explore the results of three deep-dive projects the team pursued during the study.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed December 4, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048572/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 10
    Online-Ressource
    Online-Ressource
    2013 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Electronic data processing personnel ; Salaries, etc ; Information scientists ; Salaries, etc ; Electronic data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: What tools do successful data scientists and analysts use, and how much money do they make? We surveyed hundreds of attendees at the O'Reilly Strata Conferences in Santa Clara, California and New York to understand. Findings from the survey include: Average number of tools and median income for all respondents Distribution of responses by age, location, industry, and position Detailed analysis of tools used by respondents and correlation to their salaries - including by tool clusters (Hadoop, SQL/Excel, and other) Correlation of specialized big data tools usage and salary What tools should you be learning and using? Read this valuable report to gain insight from these potentially career-changing findings.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492044475/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
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  • 11
    Online-Ressource
    Online-Ressource
    Economic impact of open source on small business : a case study (2012)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 v.) , ill.
    Schlagwort(e): Small business ; Information technology ; Open source software ; Internet marketing ; Electronic books ; Electronic books ; local
    Kurzfassung: Open source is not only a catalyst for small business growth, but also a driver of future success for many startups today. Bringing together Bluehost anonymized customer data and trends with O'Reilly Media's job market data, along with other sources of trend data, this report captures the current state of open source as it relates to small to medium-sized businesses.
    Anmerkung: Description based on online resource; title from PDF title page (Safari, viewed Oct. 19, 2012)
    URL: https://learning.oreilly.com/library/view/-/9781449343408/?ar
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
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Schließen ⊗
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