Pyspark Foundation for Data Engineering | Beginners

About this course

This course will prepare you for a real world Data Engineer role (basics)!Learn to code PySpark like a real world developer. Here our major focus will be on Practical applications of PySpark and bridge the gap between academic knowledge and practical skill.In this course we will get to know and apply few of the most essential and basic functions in PySpark, that are used frequently in scripting for any project based on PySpark.About PySpark:Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python!One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!What you will learn :SparkSession and importsSpark DataFrame and its characteristicsSyntax and examplePrint resultsUnderstanding the dataNumber of recordsColumns in dataFrameDescribe a DataFrameSchema of a DataFrameCreate a new columnArithmetic operations on DataChange column data typeCreate a column with integer as constantApply what we knowRounding of digitsSorting operation