Big Data Concepts: Getting to Know Big Data

Big Data    |    Beginner
  • 12 videos | 38m 26s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 445 users Rating 4.5 of 445 users (445)
Big data analytics has become an essential part of any business dealing with the digital world. The ability to collect large amounts of data and turn it into insights has transformed the world's business landscape. To properly manage projects using such technologies, leaders should at least have a foundational understanding of big data. Use this course to get to grips with the necessary concepts and terminologies you'll need when discussing big data projects. Learn about the primary sources and characteristics of big data. Then, dive into the world of big data analytics - exploring its main advantages, use cases, and significant challenges. When you've finished this course, you'll be able to speak about data-related projects, discussing relevant data infrastructures and architectures confidently.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the concept of big data and the history behind it
    Identify the sources that are capable of generating big data
    Define the big 7 characteristics that define big data: volume, velocity, variety, variability, veracity, visualization, and value
    Compare structured and unstructured data and describe how the ability to extract value from unstructured data is important when dealing with big data
    Describe the process of deciphering correlations, market trends, patterns, and customer behavior using big data
  • Describe the main advantages of big data analytics, including cost reduction and better decision-making
    List top domains that are exploring and utilizing big data technologies, including process automation, security, and credit scoring
    Describe how netflix uses big data to generate billions of dollars in revenue
    Describe how amazon uses big data to understand customers
    List and describe five main challenges when dealing with big data
    Summarize the key concepts covered in this course

IN THIS COURSE

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