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Pyspark Foundation for Data Engineering | Begineers

Pyspark Foundation for Data Engineering | Begineers

his course will prepare you for a real world Data Engineer role ! Learn to code PySpark like a real world developer.

Category : Development, Data Science, PySpark

Instructor :Akash Sunil Pawar

Redeem On Udemy

What you'll learn

  • Fundamentals of PySpark
  • Hands on experience in PySpark
  • Understanding of data using PySpark
  • Performing various operations on DataFrame


This course will prepare you for a real world Data Engineer role !

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 imports

Spark DataFrame and its characteristics

Syntax and example

Print results

Understanding the data

Number of records

Columns in dataFrame

Describe a DataFrame

Schema of a DataFrame

Create a new column

Arithmetic operations on Data

Change column data type

Create a column with integer as constant

Apply what we know

Rounding of digits

Sorting operation

Drop columns

Rename columns

Create a column with string as constant

Conditional Statements

Changing case of a column

Filter operations

Grouping and aggregations

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