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  • 1
    Online Resource
    Online Resource
    Strata Data Superstream : Data Science Fundamentals (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud have impacted how we grapple with ever-growing datasets and get better insight and products. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Understand the problems the modern data stack helps solve today and get a glimpse of where weâ??re headed Get an overview of AI and machine learning and see how they can improve your data science work Learn how to present your data clearly and articulately This Superstream is for you because... You want to learn how data science works and understand its impacts, whether youâ??re swimming in data or just dipping in a toe. You need to know the trends in data workflows, techniques, and tools. Youâ??re interested in learning the role AI can play in your data analysis and want to find out where to start. You want to learn how to best present your data to outside stakeholders. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommend follow-up: Read Data Science from Scratch (book) Read Fundamentals of Data Visualization (book) Read Introduction to Machine Learning with Python (book)
    Note: Online resource; Title from title screen (viewed February 11, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Strata Data Superstream Series : Creating Data-Intensive Applications (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As the scale of data continues to grow (alongside an ever expanding ecosystem of tools to work with it), developing successful applications is an increasingly challenging proposition—and a necessity. At each stage of the process, from architecting to processing and storing data to deployment, there are a range of aspects to consider. Things like scalability, consistency, reliability, efficiency, and maintainability. It can be hard to figure out the right way forward. In this event, you’ll gain insight into design and engineering best practices through interactive sessions and live coding demos. Join us to learn how to make the right decisions for your applications. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Learn how to build, scale, and test robust data pipelines Get an overview of next-generation technologies for developing underlying data architectures Explore design considerations to make your applications successful and reliable Understand how to ask the right questions when developing ethical data products This Superstream is for you if... You need to know the latest trends in data workflows, techniques, and tools. You want to improve the scalability, reliability, security, and maintainability of your applications. You want to better understand the systems you already use and the distributed systems on which modern databases are built. You want to learn the best ways to integrate data governance and ethical data practices into your applications. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Designing Data-Intensive Applications (book)
    Note: Online resource; Title from title screen (viewed May 4, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Strata Data Superstream Series : Data Warehouses, Data Lakes, and Data Lakehouses (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Storing, processing, and moving data in the cloud efficiently and cost-effectively is a must for working with today’s enormous datasets. Data lakes answered the problem of silos found in many data warehouses. But as the pendulum swings back, there's a growing need for an additional solution that combines the strengths of both models, a need that’s led to the emergence of the data lakehouse. But with the number of data storage systems available, it can be hard to figure out which option is right for you. In this event, you'll gain insights on how to increase the scalability, speed, and availability of your data, along with best practices for utilizing your data warehouse, data lake, or data lakehouse. Join in to learn how to make the right decisions for your particular use case. What you’ll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Learn how to build a performant and scalable data lake Explore design considerations to make your data warehouse robust and reliable Discover the full management, storage, and analytics capabilities of a data lakehouse Understand how to apply data observability principles for your data lake This course is for you because… You need to know the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. You work with a variety of data sources that need to be pulled together and analyzed. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read Automating the Modern Data Warehouse (report) Read The Enterprise Big Data Lake (book) Read What Is a Data Lake? (report)
    Note: Online resource; Title from title screen (viewed August 10, 2021) , 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.
  • 4
    Online Resource
    Online Resource
    Strata Data Superstream Series : Business Analysis (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Sponsored by Intel and Bigeye Businesses in every industry strive to turn data into optimal decisions—a challenge that’s grown even more complex in these uncertain times. So how can organizations better translate their data into actionable insights? The ability to quickly collect, analyze, and visualize your data to make data-driven business decisions is imperative to building an effective data strategy. And we can now do business analytics that reflect your data in near real time. But are you taking advantage of those capabilities? Join us to learn more about the latest trends in data that are powering growth, increasing efficiency, and optimizing business decisions. About the Strata Data Superstream Series: This recording of a four-part series of half-day online events gives viewers an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you’ll learn and how you can apply it Learn the best practices for data visualization and storytelling that you can apply to your work today Discover how advances in technology can make decision intelligence faster, more comprehensive, and more actionable Get up to speed on contemporary approaches to data privacy that boost “safe” data consumption, as well as on metrics that can drive an organization’s journey toward data maturity Explore the latest in mobile analytics and how to make your data culture more mobile friendly This recording of a live event is for you because… You want to explore the latest trends in data analytics for better business decision-making. You want to become a data advocate for your organization through the power of data visualization. You’re a data scientist or business analyst who wants to move from static tables and reports to actionable analytics. Recommended follow-up: Read Lean Analytics (book) Read Behavioral Data Analysis with R and Python (book) Read Advancing into Analytics (book) Read Python and R for the Modern Data Scientist (book) Read Communicating with Data (book)
    Note: Online resource; Title from title screen (viewed November 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Strata Data & AI Superstream Series—Data Analytics : From Collection to Visualization (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This three-part series of half-day online events gives attendees an overarching perspective on key topics in data and AI today, including deep learning, data analytics, and natural language processing. Each of these areas is pushing the boundaries of what’s possible with more computing power, data, and innovative algorithms. The ability to quickly analyze and visualize your data and make data-driven decisions has become imperative to staying competitive. These sessions will give data practitioners and leaders the skills and competency to deliver high-value analytics to their organizations. About the presenters: Galen Silvestri is a Senior Sales Engineer for GigaSpaces, responsible for aligning its unique In-Memory Computing Platform with solutions for Tier 1 Fintech, telecom, transportation, and retail organizations. He has 10+ years in SA/SE roles handling Machine Learning based solutions for real-time fraud and Quality of Experience (QoE), media metadata generation, UX analytics and more. His experience converges via a passion for aligning system integrations for both human and tech stack participants/components towards interoperability at a holistic level, balanced with maintaining best practices & unique workflow at an individual level. Jennifer Fraser is the director of user experience at design and development consultancy Macadamian. In her almost 20 years as a user experience designer, she’s had the opportunity to work with a variety of clients, from large institutions to small startups, in domains including healthcare, aviation, and finance. Scott Plewes is Vice President of UX analytics at Macadamian. Over the past 25 years, he’s worked in the areas of business strategy, product design, and development in the high-tech sector, for clients in industries such as aviation, telecom, and finance. For the last several years, he’s primarily focused on healthcare. Alistair Croll who is the author of the best-selling book Lean Analytics , shows you how to apply critical thinking to data science. From design and data collection to storage and visualization, you’ll learn how to avoid the most common pitfalls and make better decisions faster as you cover the Lean Analytics framework, the cycle of collection, analysis, presentation, and more. Whether you’re working directly with data, managing analytical teams, or running an organization that relies on data science, you’ll get the tools you need to make informed decisions you can build on.
    Note: Online resource; Title from title screen (viewed August 26, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Lean Analytics (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (44308 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: Marc Andreesen once said that "markets that don't exist don't care how smart you are." Whether you're a startup founder trying to disrupt an industry, or an entrepreneur trying to provoke change from within, your biggest risk is building something nobody wants. Lean Analytics can help. By measuring and analyzing as you grow, you can validate whether a problem is real, find the right customers, and decide what to build, how to monetize it, and how to spread the word. Focusing on the One Metric That Matters to your business right now gives you the focus you need to move ahead—and the discipline to know when to change course. Written by Alistair Croll and Ben Yoskovitz, the book lays out practical, proven steps to take your startup from initial idea to product/market fit and beyond. Packed with over 30 case studies, and based on a year of interviews with over a hundred founders and investors, the book is an invaluable, practical guide for Lean Startup practitioners everywhere.
    Note: Online resource; Title from title page (viewed February 26, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    Deciding what to do with your life (2016)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Two key factors in building a business involve determining its viability in the market, and whether YOU want to do it. Understand what these factors are and how to analyze a business idea and your desire to pursue it. Why is it important? Too many entrepreneurs spend time pursuing ideas that don't have a market. Entrepreneurs need to understand what problems the idea solves, who your customers are, and what the potential costs and revenues are. You also need to evaluate your desire and ability to execute on the idea, and whether you'll enjoy it. What you'll learn—and how you can apply it You'll learn how to apply the Lean Canvas created by Ash Maurya to quickly develop a one-page business plan that can help you evaluate the viability of a business idea or project. You'll also learn three important questions to ask about how YOU feel about your project or idea and your ability to execute on it. This lesson is for you because… You're an entrepreneur looking for methodologies to quickly evaluate your ideas You want to become an entrepreneur but aren't sure if the idea you have is viable You have a business idea but aren't sure how to evaluate it in a personal and market context Prerequisites None Materials or downloads needed in advance None This lesson is take from Lean Analytics by Alistair Croll and Benjamin Yoskovitz.
    Note: Online resource; Title from title page (viewed August 15, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491965337/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
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