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PySpark Foundation for Data Engineering | Beginners

Data Engineering, PySpark, Coding exercise

Description

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

Who this course is for:

  • Beginners who want to learn Big Data or experienced people who want to transition to a Big Data role

  • Big data beginners who want to learn how to code in the real world

  • Aspiring candidates for data engineering role

Goals

  • 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.

Prerequisites

  • Some basic programming skills (Not Mandatory)

  • Will to implement theoretical knowledge in pratical.

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Curriculum

  • Introduction to the course
    02:20
    Preview
  • SparkSession and Imports
    03:12
  • Spark DataFrame and its characteristics
    02:01
  • Syntax and example
    07:09
  • Print operation
    00:44
  • Understanding the data
    00:19
  • Number of records in DataFrame
    00:27
    Preview
  • Columns present in DataFrame
    00:30
    Preview
  • Summary of a DataFrame
    01:03
  • Get schema of a DataFrame
    00:53
  • Create a new column in a dataframe
    04:53
  • Arithmetic operations on columns
    05:27
  • Change column Data Types by casting
    04:19
  • Create a column with integer constant
    01:52
  • Application of the learnings
    01:31
  • Rounding operations using bround
    03:46
  • Sorting operation
    05:24
  • Drop columns of a dataframe
    04:51
  • Rename a column.
    03:23
  • Create a column with String constant
    01:14
  • Conditional Statements
    04:46
  • Changing Case of a column
    01:49
  • Filter operations
    03:24
  • Grouping and Aggegrations
    08:27
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PySpark Foundation for Data Engineering | Beginners
This Course Includes
  • 1 hours
  • 24 Lectures
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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