Build a Secure Data Lake in AWS using AWS Lake Formation

سرفصل های دوره

Step by step guide for setting up a data lake in AWS using Lake formation, Glue, DataBrew, Athena, Redshift, Macie etc.

1 - Introduction

1 - Introduction to the course

2 - Setting up the Data Lake with AWS Lake formation

2 - Configuring S3 lake formation

2 - datalakediagram.zip

3 - Simple file ingestion into the data lake

3 - customers.csv

4 - Use blueprints and workflows in Lake formation for ingesting data from MySQL RDS

5 - Ingest realtime data using Kinesis firehose into the data lake

6 - Security and governance of our data lake with governed tables

3 - Preparation and analysis of data in our data lake using AWS Glue DataBrew

7 - Introduction to AWS Glue DataBrew

8 - Analysis and transformation of data in our data lake with Glue DataBrew

9 - Create DataBrew recipes and applying them to a larger datasets

4 - Author run and monitor ETL jobs using AWS Glue Studio

10 - Introduction to AWS Glue Studio

11 - Author ETL jobs for moving data between the different zones in our data lake

12 - Ingest data from DynamoDB into the data lake using AWS Glue and catalog it

5 - Prepare our data for analytics and reporting

13 - Introduction to Amazon Redshift and setting up our Amazon Redshfit cluster

14 - Author ETL job for moving data from our data lake into the Redshift warehouse

15 - Using Redshift Spectrum for querying data located in our data lake

6 - Bonus

16 - Introduction to Amazon Macie for managing data security and privacy in our lake

45,900 تومان

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تولید کننده: Udemy-Training