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Data Modelling with Apache Cassandra

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Big Data LDN

36:04

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  • 00 trailer.mp4
    05:50
  • Data Modelling with Apache Cassandra.mp4
    30:14
  • Description


    Big Data LDN 2019 | Data Modelling with Apache Cassandra | Patrick Callaghan

    What You'll Learn?


      Any data science initiative depends on data to work. That data has to be modeled and managed well in order to get value out of it. However, the approach we take around data modelling can be influenced by the ways that we store data over time. Understanding this in advance can make it easier to get to answers from our data and also avoid problems caused by bad decisions or overlooking data modelling at the start. In this session, you will learn about applying data modelling based on taking concepts through to logical workflows and understand how to implement a data model on Apache Cassandra

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    Big Data LDN
    Big Data LDN
    Instructor's Courses
    Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 2
    • duration 36:04
    • level average
    • Release Date 2023/10/20