Ementorhub

What you'll learn

Explore data integration services to integrate data from multiple sources for analytics and application development.

Manage data lake access permissions and share data within and outside your organization.

Describe a fully managed service to process and analyze streaming data at any scale in AWS.

Skills you'll gain

Data Processing

Amazon S3

Real Time Data

Data Lakes

Business Intelligence

Apache Hive

AWS SageMaker

Data Integration

Serverless Computing

Big Data

Data Transformation

Apache Spark

Amazon Web Services

Applied Machine Learning

Extract, Transform, Load

AWS Kinesis

There are 3 modules in this course

Module 1: Data Integration in AWS Module 2: Data Analytics and ML in AWS By the end of this course, a learner will be able to: - Examine data integration services to integrate data from multiple sources for analytics and application development. - Centrally manage data lake access permissions and share data within and outside your organization. - Describe a fully managed service to process and analyze streaming data at any scale in AWS. This course is intended for candidates who wish to enhance their skills in analyzing large and complex datasets and have basic hands-on experience in analytics and database services.

Amazon Athena and Amazon EMR in AWS

Data Analytics and ML in AWS