
Data Lake, Firehose, Glue, Athena, S3 and AWS SDK for .NET
Leverage AWS Kinesis Data Firehose, AWS Glue, S3, Athena and the AWS SDK to build a Data Lake.
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Course Insight
This course is designed for AWS beginners to learn building a Data Lake with .NET
SKILLS TO
MASTER
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
What You’ll Learn
The purpose of this class is to demonstrate a proof of concept using a series of lab exercise's (in the AWS Console using AWS Kinesis Data Firehose, AWS Glue, S3, Athena and the AWS SDK, with C# code using the AWS SDK) of building a Data Lake in the AWS ecosystem.
In this class, we will be sending data from a local SQL Server database to AWS RDS securely, and automatically.
I am utilizing the .NET SDK for AWS, however, this could easily be migrated to your language of choice once you understand the concepts that I am teaching.
I will be providing the full working source code of this proof of concept.
I will also provide a working example of creating Parquet files and sending to S3 (without using Firehose).
Outcomes
- How to build a Data Lake using Firehose API for .NET, S3, AWS Glue and Athena.
Course Curriculum
7 sections • 16 lectures • 1h 54m total length
FAQs
Instructor
Darren Cox
Reviews
⭐4.7 / 5 average rating from 674+ learners
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