Overview
Businesses may handle various data kinds from a range of sources and store their structured and unstructured data in a single location with the help of AWS Data Lake.
Businesses that effectively use their data to create commercial value fare better than their competitors. In order to provide effective business insights, AWS data lakes provide a wide range of managed services, including big data processing, real-time analytics, dashboards, and visualizations.
You will learn how to create an operational AWS data lake that facilitates the study of various types of data by taking the Building Data Lakes on AWS course. You will gain knowledge of the elements and features of the services needed to build an AWS data lake.
During the course "Building Data Lakes on AWS," you will create a data lake using AWS Lake Formation, a data catalog using AWS Glue, and analyze data using Amazon Athena. You will receive further help in exploring many typical AWS data lakes via the course lectures and labs.
Note: Lab time is only accessible during class and not after. There are extra lab fees for "repeat students."
- Apply data lake methodologies in planning and designing a data lake
- Articulate the components and services required for building an AWS data lake
- Secure a data lake with appropriate permission
- Ingest, store, and transform data in a data lake
- Query, analyze, and visualize data within a data lake.
- Cloud Architect
- Data Scientist
Required
- AWS Technical Essentials
- One year of experience building data analytics pipelines