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  • Englisch  (16)
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  • King, John  (9)
  • Friedman, B. Ellen  (7)
  • Sebastopol, CA : O'Reilly Media  (16)
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  • Englisch  (16)
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  • 1
    Online-Ressource
    Online-Ressource
    Machine learning logistics : model management in the real world (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Machine learning ; Information technology ; Management ; Business enterprises ; Data processing ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: To succeed with machine learning or deep learning, you must handle the logistics well. Simply put, you need an effective management system for overall data flow and the evaluation and deployment of multiple models as they move from prototype to production. Without that, your project will most likely fail. This report examines what you need for effective data and model management in real-world settings, including globally distributed cloud or on-premises systems. Authors Ted Dunning and Ellen Friedman introduce the rendezvous architecture, an innovative design to help you handle machine-learning logistics. This approach not only paves the way to successful long-term management, it also frees up your time and effort to focus on the machine learning process itself and on how to take action on results. This report provides a basic, non-technical view of what makes the approach work, as well as in-depth technical details. The report is ideal for data scientists, architects, developers, ops teams, and project managers, whether your team is planning to build a machine learning system, or currently has one underway. You will learn: The issues in machine learning logistics you need to consider when designing and implementing your system How the rendezvous architecture leverages streaming data, provides hot hand-off of new models, and collects diagnostic data Practical tips for comparing live models, including the role of decoys, canaries and the t-digest Best practices for maintaining performance after deployment
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 9, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491997628/?ar
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  • 2
    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
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  • 3
    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
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  • 4
    Online-Ressource
    Online-Ressource
    2016-2017 web salary survey : tools, trends, what pays (and what doesn't) for web professionals (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, map
    Ausgabe: First edition.
    Schlagwort(e): Web site development industry ; Employees ; Salaries, etc ; Computer industry ; Employees ; Salaries, etc ; Electronic data processing personnel ; Salaries, etc ; Electronic books ; Electronic books ; local
    Kurzfassung: The speed of change in web development, in terms of favored tooling, techniques, and standards, allows for much innovation in a vibrant ecosystem of developers. It also presents challenges for those trying to keep up. What can you earn as a web developer today? How does the type of job, the language you use, or your geographic location affect your salary? Based on a survey of more than 2,000 developers, O'Reilly's inaugural web salary survey provides valuable insight from respondents in 51 countries and all 50 US states. This survey, conducted in the spring of 2016, examines the current world of software development-and the careers that propel it-in great detail. In this report, you'll learn: Salaries by country and by regions in the US, as well as by age, education, gender, and bargaining skills The best and worst industries to work for in this field, and how company size determines salary amount How web developer salaries are affected by job title, number of hours worked per week, and on-the-job activities Respondents' choices of different languages, platforms, and tools, including clusters of related tools
    Anmerkung: Description based on online resource; title from title page (viewed February 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491990674/?ar
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  • 5
    Online-Ressource
    Online-Ressource
    Data where you want it : geo-distribution of big data and analytics (2017)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Computer networks ; Management ; Information technology ; Management ; Business enterprises ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: Many organizations have begun to rethink the strategy of allowing regional teams to maintain independent databases that are periodically consolidated with the head office. As businesses extend their reach globally, these hierarchical approaches no longer work. Instead, an enterprise's entire data infrastructure-including multiple types of data persistence-needs to be shared and updated everywhere at the same time with fine-grained control over who has access. This practical report examines the requirements and challenges of constructing a geo-distributed data platform, including examples of specific technologies designed to meet them. Authors Ted Dunning and Ellen Friedman also provide real-world use cases that show how low-latency geo-distribution of very large-scale data and computation provide a competitive edge. With this report, you'll explore: How replication and mirroring methods for data movement provide the large scale, low latency, and low cost that systems demand The importance of multimaster replication of data streams and databases Advantages (and disadvantages) of cloud neutrality, cloud bursting, and hybrid cloud architecture for transferring data Why effective data governance is a complex process that requires the right tools for controlling and monitoring geo-distributed data How to make containers work for geo-distributed data at scale, even where stateful applications are involved Use cases that demonstrate how telecoms and online advertisers distribute large quantities of data
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed September 12, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781491983577/?ar
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  • 6
    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
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  • 7
    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
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  • 8
    Online-Ressource
    Online-Ressource
    Introduction to Apache Flink : stream processing for real time and beyond (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Apache Flink ; Streaming technology (Telecommunications) ; Big data ; Electronic books ; Electronic books ; local
    Kurzfassung: There's growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well-until now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed November 2, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491977132/?ar
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  • 9
    Online-Ressource
    Online-Ressource
    2016 software development salary survey : tools, trends, titles : what pays (and what doesn't) for programming professionals in Europe (2016)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Computer programmers ; Salaries, etc ; Europe ; Computer software ; Development ; Computer industry ; Employees ; Salaries, etc ; Europe ; Electronic data processing personnel ; Salaries, etc ; Europe ; Electronic books ; Electronic books ; local
    Kurzfassung: Of the more than 5,000 participants in O'Reilly Media's 2016 Software Development Salary Survey, 1,353 software engineers, developers, and other programming professionals live and work in Europe. This report includes complete survey results from those respondents, including participants in organizations both large and small, and from a wide variety of industries. You'll learn about the current state of software development-and the careers that propel it-across Europe today. This report presents European survey results, including: The top programming languages that respondents currently use professionally Where, by country, European programmers make the highest salaries Salary ranges by industry and by specific programming language The difference in earnings between programmers who work on very small teams vs. those who work on larger teams The most common programming languages that European respondents no longer use in their work The most common languages that respondents intend to learn within the next couple of years Find out where you stand in the European programming world. We encourage you to plug your own data points into 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/-/9781492049104/?ar
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  • 10
    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
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  • 11
    Online-Ressource
    Online-Ressource
    Real-world Hadoop (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Apache Hadoop ; Electronic data processing ; Distributed processing ; File organization (Computer science) ; Cloud computing ; Electronic books ; Electronic books ; local
    Kurzfassung: If you're a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues. You'll learn about early decisions and pre-planning that can make the process easier and more productive. If you're already using these technologies, you'll discover ways to gain the full range of benefits possible with Hadoop. While you don't need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects. Examine a day in the life of big data: India's ambitious Aadhaar project Review tools in the Hadoop ecosystem such as Apache's Spark, Storm, and Drill to learn how they can help you Pick up a collection of technical and strategic tips that have helped others succeed with Hadoop Learn from several prototypical Hadoop use cases, based on how organizations have actually applied the technology Explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production Ted Dunning is Chief Applications Architect at MapR Technologies, and committer and PMC member of the Apache's Drill, Storm, Mahout, and ZooKeeper projects. He is also mentor for Apache's Datafu, Kylin, Zeppelin, Calcite, and Samoa projects. Ellen Friedman is a solutions consultant, speaker, and author, writing mainly about big data topics. She is a committer for the Apache Mahout project and a contributor to the Apache Drill project.
    Anmerkung: Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781491928899/?ar
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  • 12
    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
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  • 13
    Online-Ressource
    Online-Ressource
    Sharing big data safely : managing data security (2015)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: First edition.
    Schlagwort(e): Big data ; Security measures ; Data protection ; Electronic books ; Electronic books ; local
    Kurzfassung: Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (viewed January 13, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491953624/?ar
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  • 14
    Online-Ressource
    Online-Ressource
    Practical machine learning : innovations in recommendation (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 v.) , ill.
    Schlagwort(e): Machine learning ; Development ; Machine learning ; Case studies ; Electronic books ; Electronic books ; local
    Kurzfassung: Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings-and demonstrates how even a small-scale development team can design an effective large-scale recommendation system. Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You'll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy the recommender using search technology, such as Apache Solr or Elasticsearch. Powerful and effective, this efficient combination does learning offline and delivers rapid response recommendations in real time. Understand the tradeoffs between simple and complex recommenders Collect user data that tracks user actions-rather than their ratings Predict what a user wants based on behavior by others, using Mahoutfor co-occurrence analysis Use search technology to offer recommendations in real time, complete with item metadata Watch the recommender in action with a music service example Improve your recommender with dithering, multimodal recommendation, and other techniques
    Anmerkung: Includes bibliographical references. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781491915707/?ar
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  • 15
    Online-Ressource
    Online-Ressource
    Time series databases : new ways to store and access data (2014)
    Sebastopol, CA : O'Reilly Media
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Time-series analysis ; Data processing ; Information storage and retrieval systems ; Electronic books ; Electronic books ; local
    Kurzfassung: Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 5, 2015)
    URL: https://learning.oreilly.com/library/view/-/9781491920909/?ar
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  • 16
    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
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