Building Data Analytics Solutions Using Amazon Redshift Training in United States of America

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Expert
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK Based Global Training Provider
We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Students with a minimum one-year experience managing data warehouses will benefit from this course.

We recommend that attendees of this course have:

  • Completed either AWS Technical Essentials or Architecting on AWS
  • Completed Building Data Lakes on AWS

What You Will Learn

  • 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

Training 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

  • Why Amazon Redshift for data warehousing?
  • Overview of Amazon Redshift

Module 2: Introduction to 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

Module 3: Ingestion and Storage

  • 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

Module 4: Processing and Optimizing Data

  • 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

Module 5: Security and Monitoring of Amazon Redshift Clusters

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

Module 6: Designing Data Warehouse Analytics Solutions

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

Module B: Developing Modern Data Architectures on AWS

  • Modern data architectures

Why Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Building Data Analytics Solutions Using Amazon Redshift Training in United States of America. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including United States of America, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Building Data Analytics Solutions Using Amazon Redshift Training in United States of America. Our hand-picked classroom venues in United States of America offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Building Data Analytics Solutions Using Amazon Redshift Training in United States of America. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.


Contact us for more detail about our trainings and for all other enquiries!

Available Training Dates

Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
17 May 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
01 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
02 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
03 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
08 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
14 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
16 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
03 July 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago

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