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  • LaPlante, Alice  (6)
  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (6)
  • Electronic books ; local  (6)
  • 1
    Online Resource
    Online Resource
    Data Fabric as Modern Data Architecture (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data fabric is a hot concept in data management today. By encompassing the data ecosystem your company already has in place, this architectural design pattern provides your staff with one reliable place to go for data. In this report, author Alice LaPlante shows CIOs, CDOs, and CAOs how data fabric enables their users to spend more time analyzing than wrangling data. The best way to thrive during this intense period of digital transformation is through data. But after roaring through 2019, progress on getting the most out of data investments has lost steam. Only 38% of companies now say they've created a data-driven organization. This report describes how a data fabric can help you reach the all-important goal of data democratization. Learn how data fabric handles data prep, data delivery, and serves as a data catalog Use data fabric to handle data variety, a top challenge for many organizations Learn how data fabric spans any environment to support data for users and use cases from any source Examine data fabric's capabilities including data and metadata management, data quality, integration, analytics, visualization, and governance Get five pieces of advice for getting started with data fabric
    Note: Online resource; Title from title page (viewed June 25, 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.
  • 2
    Online Resource
    Online Resource
    Developing Modern Applications with a Converged Database (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Single-purpose databases were designed to address specific problems and use cases. Given this narrow focus, there are inherent tradeoffs required when trying to accommodate multiple datatypes or workloads in your enterprise environment. The result is data fragmentation that spills over into application development, IT operations, data security, system scalability, and availability. In this report, author Alice LaPlante explains why developing modern, data-driven applications may be easier and more synergistic when using a converged database. Senior developers, architects, and technical decision-makers will learn cloud-native application development techniques for working with both structured and unstructured data. You'll discover ways to run transactional and analytical workloads on a single, unified data platform. This report covers: Benefits and challenges of using a converged database to develop data-driven applications How to use one platform to work with both structured and unstructured data that includes JSON, XML, text and files, spatial and graph, Blockchain, IoT, time series, and relational data Modern development practices on a converged database, including API-driven development, containers, microservices, and event streaming Use case examples including online food delivery, real-time fraud detection, and marketing based on real-time analytics and geospatial targeting
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Building a Unified Data Infrastructure (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (23 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The vast majority of businesses today already have a documented data strategy. But only a third of these forward-thinking companies have evolved into data-driven organizations or even begun to move toward a data culture. Most have yet to treat data as a business asset, much less use data and analytics to compete in the marketplace. What’s the solution? This insightful report demonstrates the importance of creating a holistic data infrastructure approach. You’ll learn how data virtualization (DV), master data management (MDM), and metadata-management capabilities can help your organization meet business objectives. Chief data officers, enterprise architects, analytics leaders, and line-of-business executives will understand the benefits of combining these capabilities into a unified data platform. Explore three separate business contexts that depend on data: operations, analytics, and governance Learn a pragmatic and holistic approach to building a unified data infrastructure Understand the critical capabilities of this approach, including the ability to work with existing technology Apply six best practices for combining data management capabilities
    Note: Online resource; Title from title page (viewed April 25, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    The Modern Cloud Data Platform (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (32 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Everyone wants a modern data platform, but what does that mean? Is it a data warehouse? A data lake? Can all or part of it be on-premises, or must it involve the cloud or even multiple clouds? What are the pros and cons of these various approaches? If there were an ideal data platform architecture, what would it look like? O'Reilly and Databricks collaborated on a global survey of more than 3,000 data professionals to determine the state of modern cloud data platform architectures. We asked about the respondents' data platform architectures and use cases. We asked about the challenges associated with those architectures and how those challenges impact their businesses. And we asked what criteria would be important to consider when evaluating new types of data architectures. This report is the result of that in-depth dive into the state of cloud data platforms today. It also explains how data teams are organized to address cloud data architectures and offers five steps to building a system that can stand the test of time.
    Note: Online resource; Title from title page (viewed December 21, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    What Is Augmented Analytics? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your business tries to make sense of today’s staggering amount of structured and unstructured data, traditional analytics will take you only so far. The key to success over the next few years will depend on augmented analytics, a method that embeds machine learning and natural language processing (NLP) in the process. This report explains how augmented analytics can help you uncover hidden insights, predict results, and even prescribe solutions. Author Alice LaPlante provides best practices for deploying augmented analytics, along with real-world case studies that show you how to take full advantage of this method. IT professionals, business managers, and CFOs will learn ways to democratize data use among business users and executives, using a self-service model. The future belongs to those who can get more from their data. This report shows you how. Get a primer on the key components and learn how they work together Delve into the benefits of—and roadblocks to—adopting augmented analytics Learn how companies use this method in marketing, sales, finance, and human resources Examine case studies of companies including Accenture and Riverbed
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492058458/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 6
    Online Resource
    Online Resource
    Getting Started with Machine Learning in the Cloud (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (36 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Your company creates terabytes and even petabytes of data, but are you actually putting it to work? The majority of enterprises stumble on their way to becoming data driven. Machine learning promises to reverse that trend, and early adopters are already seeing the benefits with increased ROI. In this report, author Alice LaPlante details successful real-world applications for machine learning and shows you how to implement your own machine learning initiative step-by-step. Discover how machine learning can benefit your business and see how companies such as CaixaBank and DX Marketing use machine learning to their advantage. Don’t fall behind while early adopters reap all the gains. Get started with machine learning and tame your data. You’ll learn: Machine learning use cases, including recommendation engines, fraud detection, predictive maintenance, and more The benefits of machine learning Why companies are increasingly moving machine learning implementations to the cloud The six phases of the machine learning lifecycle A five-step process to getting started with machine learning The challenges you may encounter along the way Best practices and advice from early adopters
    Note: Online resource; Title from title page (viewed November 25, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
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