Cloud Fundamentals

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About Course

A data engineer or a data scientist needs to analyze huge volumes of data which is essentially called Big data. This big data is stored and processed using cloud computing. So, cloud computing is a fundamental concept in a way it is a must to perform operations of big data which can be done easily on the cloud. In this course, you will learn the fundamentals of the cloud and the most-used components of the cloud.

What Will You Learn?

  • In this course, you will learn about
  • Different cloud architectures
  • Cloud fundamentals
  • You will learn about
  • Microsoft Azure, AWS, Google Cloud platform, Redshift, Bigquery, S3, Redshift, Kinesis, Sagemaker
  • In the end, you will be able to
  • You will be able to understand the most used cloud concepts for a data engineer/data scientist and will be able to apply those learning to process big data using the cloud.

Course Content

Cloud fundamentals

  • Amazon Redshift
    00:00
  • Google Bigquery
    00:00
  • Amazon S3
    00:00
  • Athena
    00:00
  • Kinesis
    00:00
  • Redshift
    00:00
  • RDS
    00:00
  • Quicksight
    00:00
  • Glue
    00:00
  • Sagemaker
    00:00
  • Apache Kafka
    00:00