ETL & BI on AWS Cloud

What you'll learn
Data eeering concepts and AWS services
Fetching data from external Rest Api
Fetching data from SFTP server
Ingesting data into a Database
Creating Serverless Data Lake using S3 and Athena
Creating Glue ETL jobs and Workflows
Transfog data into Parquet format
Learn how to store data in S3 Data lakes using Parquet columnar file formats

Requirements
Hands on expertise on Python & Sql is a must
An active AWS account

Description
A hands on course that covers majority of the typical data eeering / ETL scenarios. In this course you will learn:Different services and concepts of AWS data eeeringCreating serverless data lake using S3, Glue and AthenaIngesting data using Rest ApiIngesting data using Sftp serverIngesting data into Database (AWS RDS - Postgre SQL)Incremental data loadingPrerequisites:An active AWS accountPython / SQL knowledge

Overview
Section 1: Introduction

Lecture 1 Introduction

Section 2: Data Eeering Services

Lecture 2 S3

Lecture 3 Athena

Lecture 4 Glue

Lecture 5 Lambda

Lecture 6 RDS

Lecture 7 SQS

Lecture 8 SNS

Lecture 9 Kinesis

Section 3: Live Demos

Lecture 10 Serverless Datawarehousing

Lecture 11 Ingest data from a Rest Api

Lecture 12 Ingest data into a SQL database (Postgre SQL)

Lecture 13 Incremental data Loading

Lecture 14 Ingest data from a SFTP server

Bner python developers curious for data science,Data eeers,BI/ ETL Developers,Data Scientists / Analysts,Anyone from technical background who wants to learn Data eeering in AWS,Software developers who want to learn different ways to ingest data into AWS and build a datawarehouse

HomePage:

https://www.udemy.com/course/learn-aws-data-eeering/

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