Spark for Big Data with PySpark in Cloud

Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python and the fun part is we specialize in delivering the training on Cloud Platform so you don’t have to spend hours setting up your local PC!

Its no doubt that 2020 hottest skill is BigData. When we talk about BigData Apache Spark takes the top spot.

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!

If you’re ready to jump into the world of Python, Spark, and Big Data, this is the course for you!

Course Content:

Introduction:

  • What is Spark? Basic Infrastructure explained

  • Spark using Python

  • Understanding Spark Context

  • Setting up PySpark as a free web resource

PySpark for Data Science:

  • What is RDD

  • Lazy evaluation in Spark – Directed Acyclic Graph DAG

  • Spark DataFrames

Importing External Data sets into PySpark:

  • Importing csv data using packages and prebuilt libraries

  • Converting raw data to a Spark Dataframe

  • Using pandas

Making use of SQL in Spark:

  • How to query data using SQL within PySpark

  • Creating new columns using SQL in spark

  • Aggregating data using SQL in PySpark

Learning to manipulate data using PySpark and pandas:

  • Selecting & Filtering Data

  • Creating new variables

  • Aggregating data

  • Joining

Creating simple graphs using PySpark:

  • Creating line, Bar and columns graphs using pyspark

Who this course is for:

  • Someone who knows Python and would like to learn how to use it for Big Data

  • Someone who is very familiar with another programming language and needs to learn Spark

  • Someone wants to be Cloud Ready for BigData.