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Data warehousing & ETL on AWS Cloud
- Language: English (US)
- Offer: 80% discount
- Total Ratings: 4.5
- Organization: Udemy
- Course Lenght: 7 hours on-demand video
What You will learn from this course?
- 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
About Course Instructor
Cloud Resident : I am a Business oriented Data Architect with a vast experience in the field of Software Development,Distributed processing and data engineering on cloud . I have worked on different cloud platforms such as AWS & GCP and also with on-prem hadoop clusters. I also give seminars on Distributed processing using Spark , real time streaming and analytics and best practices for ETL and data governance.I am also a passionate coder ,love writing and building optimal data pipelines for robust data processing and streaming solutions .