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Working with Big Data
  • Level Intermediate
  • Duration 3 hours
  • Offered by

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By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark. You will then use the environment to process a large dataset from NOAA showing hourly precipitation rates for a ten year period from the state of Wisconsin. MongoDB is a widely used NoSQL database well suited for very large datasets or Big Data. It is highly scalable and adaptable as well. Apache Spark is used for efficient in-memory processing of Big Data.

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Unlock the power of big data with our engaging course, "Working with Big Data," designed for aspiring data scientists and AI enthusiasts. This intermediate-level course, offered by Coursera, guides you through setting up a robust environment using industry-standard tools like Visual Studio Code, MongoDB, and Apache Spark. Dive deep into processing a substantial dataset from NOAA, which details a decade's worth of hourly precipitation rates in Wisconsin. You'll learn to harness MongoDB, a highly scalable NoSQL database perfect for managing vast amounts of data, and Apache Spark for lightning-fast in-memory data processing. Over the span of 180 minutes, this course will equip you with practical skills essential for navigating and manipulating big data, making it an ideal choice for those looking to advance their expertise in data science and AI. Best of all, it's available for free, making high-quality education accessible to everyone. Join now and take a significant step towards mastering big data!