Pyspark Foundation for Data Engineering | Begineers

Posted on 09 Jun 10:48 | by huayting | 28 views
Pyspark Foundation for Data Engineering | Begineers
Pyspark Foundation for Data Engineering | Begineers
Published 06/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 24 lectures (1h 13m) | Size: 502.8 MB

What you'll learn
Fundamentals of PySpark
Hands on experience in PySpark
Understanding of data using PySpark
Perfog various operations on DataFrame using PySpark

Requirements
There are no pre-requisites for the course.

We will learn and practice together.
Basic Python knowledge is a plus

Description
This course will prepare you for a real world Data Eeer 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 acad 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, , 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

Chag case of a column

Filter operations

Grouping and aggregations

Prerequisites

Some basic programming skills (Not Mandatory)

Will to implement theoretical knowledge in pratical.

Who this course is for

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

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

Aspiring candidates for data eeering role

Who this course is for
Anyone with interest in Data eeering

HomePage:

https://anonymz.com/https://www.udemy.com/course/pyspark-foundation-for-data-eeering-beers/



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