Building Data Analytics Solutions using Redshift Course Overview:

In order to transform data into insights, the course delves deeply into the Amazon Redshift service and the state-of-the-art approaches to creating and managing data analytics pipelines. Expert AWS instructors are available to answer your questions and provide you with immediate feedback on your data analytics solutions. Using the knowledge you gain from tutorials, practical labs, discussions, presentations, and group exercises, you will create a data warehouse analytics workflow based on an actual situation.

After completing Building Data Analytics Solutions using Redshift Training, students will be able to

  • Create and implement a batch data analytics solution.
  • Examine and contrast the features and advantages of data lakes, data warehouses, and contemporary data architectures.
  • Determine and use the best methods, such as compression, to maximise data storage Understanding how data processing and storage affect the analysis and visualisation mechanisms required to obtain actionable business insights. Determining the best clusters, auto scaling, and network topology for a given business use case. Selecting and implementing the right options to ingest, transform, and store data.
  • Safeguard data both in transit and at rest; keep an eye on analytics workloads to spot issues and fix them; and use best practices for cost management.

Upcoming Batches

Enroll Online
Start Date End Date

2024-11-21

2024-11-21

2024-11-22

2024-11-22

Building Data Analytics Solutions using Redshift Certification Key Features:

  • The Building Data Analytics Solution using Redshift course offers several key features, including:
  • Comprehensive Curriculum: The course covers all aspects of Data warehousing.
  • Hands-On Labs: Participants will have the opportunity to work on real-world scenarios and projects, gaining practical experience with AWS tools and services.
  • Experienced Instructors: The course is taught by industry experts with years of experience in AWS, ensuring high-quality instruction.
  • Flexible Schedule: The course is offered in both online and in-person formats, with options for full-time or part-time study.
  • Certification: Participants will receive a certificate of completion at the end of the course.

Who should attend this Course?

  • Data warehouse engineers.
  • Data Platform engineers.
  • Architects and operators who build and manage data pipeline.

Prerequisites for this Course:

  • Participant who has minimum of 1 year experience managing data warehouse.
  • Participant must have undergone either AWS Technical Essentials or Architecting on AWS course.

    Building Data Analytics Solutions using Redshift Course Outline: Download 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: Load and query data in an Amazon Redshift cluster

    • 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
    • Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster

    • Securing the Amazon Redshift cluster
    • Monitoring and troubleshooting Amazon Redshift clusters

    • Data warehouse use case review
    • Activity: Designing a data warehouse analytics workflow

    • Modern data architectures

    Course Fee

    Select Course date

    Add to Wishlist

    Course ID: 20039

    Course Price at

    $499 + 0% TAX
    Enroll Now
    Enquire Now