PySpark for Data Science – Intermediate

The only need for these PySpark Tutorials is that the person be well-versed in and have extensive hands-on experience with any of the languages such as Java, Python, or Scala, or their equivalents. Other requirements include a development history as well as a solid and fundamental understanding of big data concepts and ecosystems, as Spark API is only built on top of Hadoop. Knowledge of real-time streaming and how big data works, as well as a solid understanding of analytics and the accuracy of prediction related to the machine learning model, are among the others.