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    Big Data Analytics: Big data origination to opportunities

    Posted By: IrGens
    Big Data Analytics: Big data origination to opportunities

    Big Data Analytics: Big data origination to opportunities
    .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 2.5 hours | 247 MB
    Provider: RankOne Consulting

    Grounding in basic & advanced big data analytic methods, technology and tools

    Big Data Analytics course will inspire you to explore opportunities in the world of big data analytics. This course will take you from the basics of big data analytics to the advance analytical tools, methods and technology, which could be used for the big data analytics projects.

    You would be learning about the big data explosion, characteristics of big data and their classification. The analytical platform will take you from the changing model of big data analytics to the real time analytics. In order to process big data and extract the meaningful insights from it, importance of big data storage and the properties of storage architecture is imparted as a separate chapter. Basics of Hadoop, challenges associated with it and why it is considered as game changer by multiple verticals of the industry is an important section which will increase the level of your knowledge bucket.

    Along with it, who are the players in the industry providing analytics platforms, visualization tools and Sentiment analysis are well instructed in the chapters. You will be able to know what are the challenges associated with big data and major business verticals that are leveraging big data to get the market insights.

    The course is accompanied with the industry use case and assignment to evaluate the progress. We wish you happy journey for "Big Data Analytics" course.

    What are the requirements?

    Eagerness to grasp the knowledge of "Big Data"
    Basic technical knowledge to follow the course

    What am I going to get from this course?

    Over 15 lectures and 2.5 hours of content!
    Deploy a structured lifecycle approach to data science and big data analytics projects.
    Planning & Implementation of Big Data strategy in organization.
    Analyze data, use big data analytics, metrics understanding and consumer behaviour to make better business decisions and improve capabilities.
    Explore big data opportunities


    Big Data Analytics: Big data origination to opportunities