[ FreeCourseWeb ] Udemy - Data Engineering, Serverless ETL & BI on Amazon Cloud

[ FreeCourseWeb.com ] Data Engineering, Serverless ETL & BI on Amazon Cloud

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 49 lectures (6h 32m) | Size: 2.5 GB
Data warehousing & ETL on AWS Cloud
What you'll learn:
Setting up a Data Warehouse on Amazon Cloud using Redshift from scratch
Learn and understand AWS Athena and when to make use of Athena
Learn how to store data in S3 Data lakes using Parquet columnar file formats and optimize the process of data scans using Athena
Learn and automate the ETL processes using different server-less components like AWS Glue , Data Pipeline and Lambda Functions
Data Centralization using Redshift Spectrum
Trigger and Automate Glue jobs using Lambda Functions
Understand how to pull data into QuickSight which is a BI-Reporting/Visualization offering from AWS

Requirements
Hands on expertise on Python & Sql is a must
should have a technical background or prior experience in Pyspark (at least beginner level)
Basic understanding of different cloud components (AWS ,GCP or Azure )

Description
AWS Cloud can seem intimidating and overwhelming to a lot of people due to its vast ecosystem, but this course will make it easier for anyone who wants a hands-on expertise in setting up a data-warehouse in Redshift or setup a BI infrastructure from scratch .

Data Scientists/Analysts/Business Analysts will soon be expected to (if not already) become all-rounders and handle the technical aspect of data ingestion/engineering/warehousing .

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