This Building Data Analytics Solutions Using Amazon Redshift course uses an Amazon Redshift data warehouse as part of the data analytics solution. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will design and build data analytics solutions for data warehousing use cases. You will learn how a data warehouse can be integrated into a data lake or a modern data architecture. You will also learn to apply best practices to support the security, performance, and cost optimization of Amazon Redshift.
Building Data Analytics Solutions Using Amazon Redshift Delivery Methods
Online
Building Data Analytics Solutions Using Amazon Redshift Course Information
In this Building Data Analytics Solutions Using Amazon Redshift course, you will learn how to:
Compare the features and benefits of data warehouses, data lakes, and modern data architectures
Design and implement a data warehouse analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
Secure data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices
Building Data Analytics Solutions Using Amazon Redshift Prerequisites
We recommend that attendees of this course have:
Completed either AWS Technical Essentials or Architecting on AWS
Completed Building Data Lakes on AWS
Building Data Analytics Solutions Using Amazon Redshift Course Outline
Module A: Overview of Data Analytics and the Data Pipeline
Data analytics use cases
Using the data pipeline for analytics
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
العربية