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  • 1
    ISBN: 9781491957882 , 1491957883
    Language: English
    Pages: 1 online resource (1 streaming video file (26 hr., 44 min., 21 sec.)) , digital, sound, color
    Keywords: Apache Cassandra ; Apache Kafka ; Apache Spark ; Internet videos ; Streaming video ; Databases ; Electronic data processing ; Application software Development ; Apache Kafka ; Apache Spark ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos ; Apache Cassandra ; Databases ; Electronic data processing ; Application software ; Development ; Logiciels d'application ; Développement
    Abstract: "There are a variety of useful applications for real-time data, including quick identification of general patterns and trends in data, performing sentiment analysis, crafting responses in real-time, andperhaps one of the most important useswhen having analysis immediately will change the outcome of the situation. This Learning Path provides an in-depth tour of technologies used in processing and analyzing real-time data."--Resource description page.
    Note: Title from resource description page (viewed March 14, 2016)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (90 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Kubernetes has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud. Delve into case studies to avoid the pitfalls others have faced and explore new use cases. Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more
    Note: Online resource; Title from title page (viewed January 25, 2023) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 streaming video file (53 min., 52 sec.)) , digital, sound, color
    Keywords: Data mining ; Electronic data processing ; Electronic videos ; local
    Abstract: "Patrick McFadin explains the basics of how to build more efficient data pipelines, using Apache Kafka to organize, Apache Cassandra to store, and Apache Spark to analyze. Patrick offers an overview of how Cassandra works and why it can be a perfect fit for data-driven projects. Patrick then demonstrates that with the addition of Spark and Kafka, you can maintain a highly distributed, fault-tolerant, and scaling solution. You'll leave with a comprehensive view of the many options to make considered choices in your data pipeline projects."--Resource description page.
    Note: Title from resource description page (viewed December 19, 2017)
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  • 4
    ISBN: 9781491934951
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 51 min., 2 sec.)) , digital, sound, color.
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Apache Cassandra ; Apache (Computer file : Apache Group) ; Time-series analysis ; Electronic videos ; local
    Abstract: "As it becomes easier to create data, we are now faced with the need to collect and analyze at scales never seen before. In this practical video course, Apache Cassandra evangelist Patrick McFadin shows how to solve time-series data problems with technologies from Team Apache: Kafka, Spark and Cassandra. To learn how to work with these technologies, you'll work with an example weather collection network and the challenges it can produce."--Resource description page.
    Note: Title from title screen (viewed September 16, 2015). - Date of publication taken from resource description page
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