MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 4 hour | Size: 1.38 GBLearn Hadoop, Spark, Dataproc , AWS S3 Data Lake, Glue, Athena services and Machine Learning using a real world use caseWhat you’ll learnBig Data , Hadoop and Spark from scratch. You will also learn how to use free cloud tools to get started with Hadoop and Spark programming in minutes. Additionally you will find two bonus projects on AWS data lake solution and Machine Learning Classification modelRequirementsStudents should have some programming background and some knowledge of SQL queries.

DescriptionA 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 conceptsHow to create a free Hadoop and Spark cluster using Google DataprocHadoop hands-on – HDFS, HiveWhy there was a need for SparkPython basicsPySpark RDD – hands-onPySpark SQL, DataFrame – hands-onProject work using PySpark and HiveGoogle Colab environmentBonus project – Applying spark transformation on data stored in AWS S3 using Glue and viewing data using AthenaBonus project – Build your first Machine Learning model using Python, Scikit-learn to predict whether a customer will buy or not.

Prerequisites :Some basic programming skillsSome knowledge of SQL queriesWho this course is for:Beginners who want to learn Big Data or experienced people who want to transition to a Big Data role