Learn AWS Data Engineering udemy course free download
What you'll learn:
Data Engineering using AWS Analytics Services
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Data Engineering leveraging AWS Analytics features
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Managing Tables using Glue Catalog
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Engineering Batch Data Pipelines using Glue Jobs
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Orchestrating Batch Data Pipelines using Glue Workflows
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Running Queries using Athena – Serverless query engine service
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Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines
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Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards
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Data Ingestion using Lambda Functions
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Scheduling using Events Bridge
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Engineering Streaming Pipelines using Kinesis
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Streaming Web Server logs using Kinesis Firehose
Requirements::
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Programming experience using Python
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Data Engineering experience using Spark
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Ability to write and interpret SQL Queries
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This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile
Description:
A hands on course that covers majority of the typical data engineering / ETL scenarios.
In this course you will learn:
Different services and concepts of AWS data engineering
Creating serverless data lake using S3, Glue and Athena
Ingesting data using Rest Api
Ingesting data using Sftp server
Ingesting data into Database (AWS RDS - Postgre SQL)
Incremental data loading
Prerequisites:
An active AWS account
Python / SQL knowledge
Who this course is for:
- Beginner python developers curious for data science
- Data engineers
- BI/ ETL Developers
- Data Scientists / Analysts
- Anyone from technical background who wants to learn Data engineering in AWS
- Software developers who want to learn different ways to ingest data into AWS and build a datawarehouse
Course Details:
- 1.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion