Building Data Analytics Solutions Using Amazon Redshift

Course 1240

  • Duration: 1 day
  • Language: English
  • Level: Intermediate
Get This Course $690
  • 1-day instructor-led training course

  • Official AWS Curriculum

  • Delivered by AWS Authorized Instructors

  • After-course instructor coaching

#1240
  • Oct 24 9:00 AM - 4:30 PM EDT
    AnyWare
  • Dec 19 9:00 AM - 4:30 PM EST
    AnyWare
  • Feb 13 9:00 AM - 4:30 PM EST
    AnyWare

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

  • Data analytics use cases
  • Using the data pipeline for analytics
  • Why Amazon Redshift for data warehousing?
  • Overview of Amazon Redshift
  • Amazon Redshift architecture

Interactive Demo 1: Touring the Amazon Redshift console

  • Amazon Redshift features

Practice Lab 1: Setting up your data warehouse using Amazon Redshift

  • Ingestion
  • Interactive

Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API

  • Data distribution and storage

Interactive Demo 3: Analyzing semi-structured data using the SUPER data type

  • Querying data in Amazon Redshift

Practice Lab 2: Data analytics using Amazon Redshift Spectrum

  • Data transformation
  • Advanced querying

Practice Lab 3: Data transformation and querying in Amazon Redshift

  • Resource management

Interactive Demo 4: Applying mixed workload management on Amazon Redshift

  • Automation and optimization
  • Securing the Amazon Redshift cluster
  • Monitoring and troubleshooting Amazon Redshift clusters
  • Data warehouse use case review

Activity: Designing a data warehouse analytics workflow

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

Building Data Analytics Solutions Using Amazon Redshift FAQs

Students familiar with combining AWS technologies to support data lakes or other data-driven workloads will benefit from this course.

No, this course is not accompanied by an exam or certification.

We recommend Learning Tree courses 1238, Building Data Lakes on AWS and 1239, Building Batch Data Analytics Solutions on AWS.

Chat With Us