01. What is PySpark ? | Introduction to PySpark | Why we use PySpark ? | Overview
PySpark is an Application Programming Interface (API) for Apache Spark in Python . The Apache Spark framework is often used for. Large scale big data processing and machine learning workloads. Apache Spark is a huge improvement in big data processing capabilities from previous frameworks such as Hadoop MapReduce. This is due to its use of RDD’s or Resilient Distributed Datasets.
As greater amounts of data are being generated at rates faster than ever before in history. Skilled individuals are required, who have the ability to handle this data and use it to derive insights and provide value.
In this session, We will give you an introduction to PySpark. A brief Overview of PySpark.
What is pyspark
Why do we need pts-ark
Benefits of pts-ark
How do we use pyspark
What is spark
What is apache spark
Why do we need apache spark
Why do we need spark
What is RDD
What is Resilient Distributed Dataset
Benefits of Spark
Benefits of PySpark
Pyspark Databricks
************************
GITHUB REPOSITORY:-
https://github.com/rehandominic/tsql-...
************************
Mockaroo :-
Tool to create sample data (csv etc..)
https://www.mockaroo.com
What is PySpark Introduction Video :-
Databricks Community Edition Setup Guide (Free Access to PySpark) :-
This video is part of a PySpark Tutorial playlist that will take you from beginner to pro.
✔ Topics You’ll Learn:
Pyspark
Python Spark
Apache spark
Spark
Hadoop
Mapreduce
Benefits of Spark
Spark vs Hadoop
What is pyspark
Why do we need Pyspark
How to install Pyspark
Keywords :-
Pyspark
Pyspark Tutorial
Pyspark Introduction
Python Spark
Apache
Apache Spark
Python Spark
RDDDataframe
Databricks
Pyspark tutorial GitHub
Pyspark tutorial pdf
Pyspark tutorial data bricks
Pyspark tutorialspoint
Pyspark tutorial udemi
Simply learning
Big Data
Data with Dominic
#bigdata #spark #pyspark #databricks #apache #azure #gcp #aws #tutorial #DataWithDominic