AWS-DA-RS

Building Data Analytics Solutions Using Amazon Redshift Training

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. 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.
Course Details

Duration

1 day

Prerequisites

  • A minimum of one-year experience managing data warehouses.
  • Completed either AWS Technical Essentials or Architecting on AWS
  • Completed Building Data Lakes on AWS

Target Audience

Data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.

Skills Gained

  • 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
Course Outline
  • Overview of Data Analytics and the Data Pipeline
    • Data analytics use cases
    • Using the data pipeline for analytics
  • Using Amazon Redshift in the Data Analytics Pipeline
    • Why Amazon Redshift for data warehousing?
    • Overview of Amazon Redshift
  • Introduction to Amazon Redshift
    • Amazon Redshift architecture
    • Amazon Redshift features
  • Ingestion and Storage
    • Ingestion
    • Data distribution and storage
    • Querying data in Amazon Redshift
  • Processing and Optimizing Data
    • Data transformation
    • Advanced querying
    • Resource management
    • Automation and optimization
  • Security and Monitoring of Amazon Redshift Clusters
    • Securing the Amazon Redshift cluster
    • Monitoring and troubleshooting Amazon Redshift clusters
  • Designing Data Warehouse Analytics Solutions
    • Data warehouse use case review
    • Activity: Designing a data warehouse analytics workflow
  • Developing Modern Data Architectures on AWS
    • Modern data architectures
Upcoming Course Dates
USD $730
Online Virtual Class
Scheduled
Date: May 16, 2024
Time: 12 PM - 8 PM ET
Partner Registration

The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.

You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.

USD $730
Online Virtual Class
Scheduled
Date: Jun 24, 2024
Time: 12 PM - 8 PM ET
Partner Registration

The course you are registering for is being delivered by our sister company - ExitCertified. All logistics related to course delivery will be managed by the ExitCertified team. If you have a dedicated Web Age representative, please feel to reach out to them with any questions/concerns you may have.

You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.