You get to learn about how to use spark python i.e PySpark to perform data analysis.
Sub Category
- Data Science
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Objectives
- The skills related to development, big data, and the Hadoop ecosystem and the knowledge of Hadoop and analytics concept
- You will also learn how parallel programming and in-memory computation will be performed.
- Apart from that, a different language Python will also be covered in this tutorial. Python is one of the most in-demand languages in the market today.
- You will also understand what are the benefits and disadvantages of using Spark with all the above-listed languages
Pre Requisites
- The pre-requisite of these PySpark Tutorials is not much except for that the person should be well familiar and should have a great hands-on experience in any of the languages such as Java, Python or Scala or their equivalent. The other pre-requisites include the development background and the sound and fundamental knowledge of big data concepts and ecosystem as Spark API is based on top of big data Hadoop only. Others include the knowledge of real-time streaming and how big data works along with a sound knowledge of analytics and the quality of prediction related to the machine learning model.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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