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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.
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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: Jun 24, 2024
Time: 12 PM - 8 PM ET
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You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.