Last updated 12/2020MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 511.69 MB | Duration: 1h 22m
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
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:
Code:
https://www.udemy.com/course/learn-aws-data-eeering/
DOWNLOAD
1dl
Code:
https://1dl.net/bsuttvx841rz/AJQOgQee__Learn_AWS_.rar
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