Data Lake, Firehose, Glue, Athena, S3 and AWS SDK for .NET

Data Lake, Firehose, Glue, Athena, S3 and AWS SDK for .NET, available at $49.99, has an average rating of 4.37, with 16 lectures, based on 611 reviews, and has 2944 subscribers.

You will learn about How to build a Data Lake using Firehose API for .NET, S3, AWS Glue and Athena This course is ideal for individuals who are AWS developers interested in learning about building a data lake using AWS services and the AWS SDK. It is particularly useful for AWS developers interested in learning about building a data lake using AWS services and the AWS SDK.

Enroll now: Data Lake, Firehose, Glue, Athena, S3 and AWS SDK for .NET

Summary

Title: Data Lake, Firehose, Glue, Athena, S3 and AWS SDK for .NET

Price: $49.99

Average Rating: 4.37

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to build a Data Lake using Firehose API for .NET, S3, AWS Glue and Athena

Who Should Attend

AWS developers interested in learning about building a data lake using AWS services and the AWS SDK.

Target Audiences

AWS developers interested in learning about building a data lake using AWS services and the AWS SDK.

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).

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Overview of AWS Web Services in a Data Lake

Lecture 1: AWS Serverless pieces to our Data Lake jigsaw puzzle

Chapter 3: AWS RDS and S3

Lecture 1: S3 Bucket creation

Lecture 2: RDS creation

Chapter 4: AWS Kinesis Firehose, C# and the AWS SDK

Lecture 1: Creating Kinesis Data Firehose delivery streams

Lecture 2: Console .NET core C# entity-framework project

Lecture 3: Kinesis Firehose C# API class

Lecture 4: Kinesis Firehose C# API send data example

Chapter 5: AWS Glue, Athena, ETL jobs, Triggers, and using Hangfire

Lecture 1: Creating Glue Crawlers

Lecture 2: Query Data in Athena using SQL

Lecture 3: Creating AWS ETL jobs

Lecture 4: Hangfire – Automation

Chapter 6: AWS Lake Formation, Cognito and Parquet .NET

Lecture 1: AWS Lake Formation

Lecture 2: AWS Cognito

Lecture 3: Parquet .NET – Alternative to using Firehose

Chapter 7: Final thoughts and advice

Lecture 1: Conclusion

Instructors

Darren Cox
AWS Certified Solution Architect/Developer & Music lover

Rating Distribution

1 stars: 7 votes
2 stars: 17 votes
3 stars: 84 votes
4 stars: 233 votes
5 stars: 270 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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