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28-12-2020, 02:26

A Big Data Hadoop and Spark project for absolute beginners (Updated 12/2020)

Category: Tutorials

A Big Data Hadoop and Spark project for absolute beginners (Updated 12/2020)
A Big Data Hadoop and Spark project for absolute beginners (Updated 12/2020)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 94 lectures (8h 22m) | Size: 3.42 GB


Hadoop, Spark, Python, PySpark, Scala, Hive, coding framework, testing, IntelliJ, Maven, PyCharm, Glue, AWS, Streaming What you'll learn:
Big Data , Hadoop and Spark from scratch by solving a real world use case using Python and Scala
Spark Scala & PySpark real world coding framework.
Real world coding best practices, logging, error handling , configuration management using both Scala and Python.
Serverless big data solution using AWS Glue, Athena and S3

Requirements
Students should have some programming background and some knowledge of SQL queries

Description
Get started with Big Data quickly leveraging free cloud cluster and solving a real world use case! Learn Hadoop, Hive , Spark (both Python and Scala) from scratch!

Learn to code Spark Scala & PySpark like a real world developer. Understand real world coding best practices, logging, error handling , configuration management using both Scala and Python.

Project

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

Python basics

PySpark RDD - hands-on

PySpark SQL, DataFrame - hands-on

Project work using PySpark and Hive

Scala basics

Spark Scala DataFrame

Project work using Spark Scala

Spark Scala Real world coding framework and development using Winutil, Maven and IntelliJ.

Python Spark Hadoop Hive coding framework and development using PyCharm

Building a data pipeline using Hive , PostgreSQL, Spark

Logging , error handling and unit testing of PySpark and Spark Scala applications

Spark Scala Structured Streaming

Applying spark transformation on data stored in AWS S3 using Glue and viewing data using Athena

Prerequisites :

Some basic programming skills

Some knowledge of SQL queries

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

Download


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