The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Amazon Redshift in the Data Analytics Pipeline
Module 2: Introduction to Amazon Redshift
Module 3: Ingestion and Storage
Module 4: Processing and Optimizing Data
Module 5: Security and Monitoring of Amazon Redshift Clusters
Module 6: Designing Data Warehouse Analytics Solutions
Module B: Developing Modern Data Architectures on AWS
IMPORTANT: This course prepares you for AWS Data Analytics Certification, among other courses of the Data Analytics job role track.
This course includes presentations, interactive demos, practice labs, discussions, and class exercises.
This course is intended for the following job roles:
Attending the following course or equivalent knowledge is required: Building Data Lakes on AWS
The training is carried out in cooperation with an authorized training partner.
For the purpose of implementation, participant data will be transferred to the training partner and the training partner assumes responsibility for the processing of these data.