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Big data refers to data sets that are too large or complex to be handled by traditional data-processing software. Big data helps organizations make smarter business moves, develop more efficient operations, increase profits and improve customers relations by using the data they collect to identify new opportunities. This course introduces Big Data concepts such as types of data, structured vs. unstructured data, as well as the characteristics and the different use cases for Big Data.
In these lessons you will learn the basics of Big Data architecture on the public cloud, and cover how to run Big Data use cases on the public cloud. This course includes detailed guidelines about Hadoop architecture, Hadoop Distributed File System, MapReduce, and different types of available nodes. You will also learn about the factors driving the collection and use of big data and the impact Big Data has on everyday life and business.
It introduces Big Data concepts such as types of data, structured vs. unstructured data, and the characteristics and different use cases for Big Data. It also covers the basics of Big Data architecture on the public cloud, Hadoop architecture, the Hadoop Distributed File System, MapReduce, and the different types of available nodes.
You will build skills in Big Data, Big Data Analytics, Data Classification, Data Mining, Data Science, and Oracle Big Data.
Yes. You will learn the basics of Big Data architecture on the public cloud and how to run Big Data use cases and analytics on the public cloud, including on Hadoop and HDFS.
The course covers trend analysis, descriptive analysis, anomaly detection, and predictive models using Big Data.
Yes. The course teaches you to compare and contrast structured and unstructured data.