A Big Data Hadoop and Spark project for absolute beginners

Learn Hadoop, Spark, Google Dataproc and Google Colab step by step by solving a real world use case
Future X Skill
999 students enrolled
Students will learn Big Data , Hadoop and Spark from scratch. They will also learn how to use free cloud tools to do hadoop and spark programming

A bank is launching a new credit card and wants to identify prospects it can target in its marketing campaign.

It has received prospect data from various internal and 3rd party sources. The data has various issues such as missing or unknown values in certain fields.The data needs to be cleansed before any kind of analysis can be done.

Since the data is in huge volume with billions of records, the bank has asked you to use Big Data Hadoop and Spark technology to cleanse, transform and analyze this data.

What you will learn :

  • Big Data, Hadoop concepts
  • How to create a free Hadoop and Spark cluster using Google Dataproc
  • Hadoop hands-on – HDFS, Hive
  • Why there was a need for Spark
  • Python basics
  • PySpark RDD – hands-on
  • PySpark SQL, DataFrame – hands-on
  • Project work using PySpark and Hive
  • Google Colab environment

Prerequisites :

  • Some basic programming skills
  • Some knowledge of SQL queries
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Big Data Hadoop concepts

Big Data concepts
Hadoop concepts

Hadoop - Hands-On

Creating a free Hadoop and Spark cluster using Google Dataproc
Reading HDFS data using Hive

Spark concepts and hands-on

Spark concepts
Installing Spark on Google Colab
Python basics
PySpark RDD
PySpark - Spark SQL and DataFrame
Running PySpark on a Hadoop Cluster

Final project work - Bank prospecting marketing

Project - Bank marketing prospects data transformation using Hadoop and Spark
You can view and review the lecture materials indefinitely, like an on-demand channel.
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2 hours on-demand video
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Certificate of Completion