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  • 1
    Online Resource
    Online Resource
    Twitter and the micro-messaging revolution : communication, connections, and immediacy - 140 characters at a time (2008)
    Sebastopol : O'Reilly Media, Inc
    Details
    ISBN: 9780596156046
    Language: English
    Pages: Online-Ressource (49 p.)
    Edition: Online-Ausg.
    Parallel Title: Print version Twitter and the Micro-Messaging Revolution: Communication, Connections, and Immediacy--140 Characters at a Time
    DDC: 302.30285
    Keywords: Twitter ; Blogs ; Online social networks ; Electronic books ; Electronic books
    Abstract: Twitter and other micro-messaging services are catching fire as people realize these lightweight applications can be powerful tools to communicate, connect, and learn. With its potent mix of simplicity, utility, mobility, and sheer human appeal, micro-messaging is poised to become a major communications platform. This new O'Reilly Radar report reveals: - Best practices for micro-messaging in business- Pitfalls to avoid in this instant, very public medium- New methods for customer service and quick market research- How micro-messaging can help you reduce email and eliminate unproductive mee
    Description / Table of Contents: Foreword; Preface; Introduction: What is Twitter?; The Power of Ambient Awareness; The Attention Economy; A New Kind of Communication; The State of Micro-Messaging; A Micro-History of the Medium; Micro-Messaging Today; Micro-Messaging at Work; Micro-Messaging for External Communications; Gathering Market Information; Micro-Messaging for Internal Communications; Make Micro-Messaging a Major Success; Best Practices for Micro-Messaging in Business; Challenges in Micro-Messaging for Business; The Future of Micro-Messaging; Conclusions; Acknowledgments; Contributors;
    Note: Description based upon print version of record
    URL: Volltext
    URL: Volltext
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    GBV
  • 2
    Online Resource
    Online Resource
    The 2015 O'Reilly data science salary survey : understanding the tools, trends, what pays (and what doesn't) for data professionals (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (59 min., 22 sec.)) , digital, sound, color
    Keywords: Electronic data processing personnel ; Salaries, etc ; Electronic videos ; local
    Abstract: "The 2015 O'Reilly Data Science Salary Survey provides insights that could significantly impact your career in data science. The video starts with a longitudinal look at what's common across the surveys O'Reilly's done over the last three years, then moves through the latest results and the process for gathering and analyzing the data. The Survey's research derives from data collected in 2015 through online surveys. It includes demographic information, time spent on various data-related tasks, and the use or non-use of 116 software tools. Data came from over 600 respondents working in a variety of industries, two-thirds of whom are based in the United States."--Resource description page.
    Note: Title from title screen (viewed May 23, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    2015 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps
    Edition: Third edition.
    Keywords: Information services industry ; Wages ; Information services industry ; Computer scientists ; Salaries, etc ; Statisticians ; Salaries, etc ; Information technology ; Electronic books ; Electronic books ; local
    Abstract: 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 .
    Note: Description based on online resource; title from title page (viewed January 3, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492048640/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Navigating the health data ecosystem (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: 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
    Abstract: 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.
    Note: Description based on online resource; title from title page (Safari, viewed December 4, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492048572/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    2017 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps
    Edition: First edition.
    Keywords: Electronic data processing personnel ; Salaries, etc ; Information scientists ; Salaries, etc ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: 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 .
    Note: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491997079/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    2017 software development salary survey : tools, trends, titles : what pays (and what doesn't) for programming professionals (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, map
    Edition: First edition.
    Keywords: Computer programmers ; Salaries, etc ; Computer software ; Development ; Computer industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Abstract: 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.
    Note: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491990698/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    2016 design salary survey : tools, trends, titles, what pays (and what doesn't) for design professionals (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Computer industry ; Employees ; Salaries, etc ; Web site development industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Abstract: 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 .
    Note: Description based on online resource; title from title page (Safari, viewed March 5, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042259/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    2016 data science salary survey : tools, trends, what pays (and what doesn't) for data professionals (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps
    Edition: Fourth edition.
    Keywords: Electronic data processing personnel ; Salaries, etc ; Information scientists ; Salaries, etc ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: 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 .
    Note: Description based on online resource; title from title page (viewed February 12, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492049029/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    6 Trends Framing the State of AI and ML (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (14 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: O’Reilly usage analysis shows continued growth in AI/ML and early signs that organizations are experimenting with advanced tools and methods.
    Note: Online resource; Title from title page (viewed March 26, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781492081791/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    5 Key Areas for Tech Leaders to Watch in 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (18 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Our annual analysis of the O'Reilly online learning platform reveals Python's continued dominance and important shifts in infrastructure, AI/ML, cloud, and security.
    Note: Online resource; Title from title page (viewed February 26, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
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