Amazon Redshift Corporate Training
Build fast, secure analytics on Amazon Redshift
This instructor-led program teaches your data team to design, load, tune, and operate Amazon Redshift warehouses. Through guided labs and a capstone pipeline build, teams leave ready to run production analytics with confidence.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a warehouse-ready team
The Edstellar DATA ENGINEERING Capability Model
Diagnose
We map your current warehouse workloads, query pain points, and team skill levels before the program begins.
Standardize
We align on Redshift best practices for modeling, loading, and access control so every team builds the same way.
Practice
Guided labs walk your team through provisioning, loading, tuning, and securing real clusters step by step.
Measure
Lab checkpoints and the capstone project show exactly which skills each learner can now apply independently.
Scale
Your team leaves with runbooks and tuning checklists that spread Redshift expertise across every data team.
Need more than one program?Get a group quote
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Program Overview: What is Amazon Redshift?
Amazon Redshift is a fully managed, petabyte-scale data warehouse service built for high-performance analytics. This 24-hour program equips data engineers, analytics engineers, and BI developers with practical skills across six modules, from cluster architecture and bulk data loading to query performance tuning and advanced analytics. Training follows an instructor-led format with guided labs and a final capstone project.
The program is delivered through hands-on, instructor-led sessions where every concept is practiced in guided labs. Participants configure Redshift clusters, load data at scale, and tune queries with expert coaching and peer feedback. Labs grow more complex through query performance tuning, advanced analytics workloads, and security and governance operations. The program closes with a 5.5-hour capstone in which each participant builds an end-to-end analytics pipeline, reviewed by the instructor before applying them to production.
Many teams move analytics workloads to the cloud but struggle with slow queries, costly cluster configurations, and unreliable data pipelines. This program teaches participants to load data efficiently, diagnose performance bottlenecks, and apply proven tuning techniques across real workloads. Teams can run Redshift at scale with confidence and cost control.
They present a tuned Redshift pipeline to the class and defend its performance numbers. Back at work, slow queries get the same treatment: measured, explained, fixed.
Across 24 instructor-led hours, learners move from architecture fundamentals to advanced analytics patterns. Modules cover data loading at scale, query performance tuning, Spectrum and federated queries, security and governance, and a capstone project where each team ships a complete analytics pipeline on Redshift.
What's Included in this Workshop for Your Enterprise Teams
- 1
Cluster setup
Provision and network your first Redshift cluster.
- 2
Data loading
Load large datasets with COPY and S3 staging.
- 3
Performance tuning
Tune real queries with plans and system views.
- 4
Advanced analytics
Use Spectrum, federated queries, and views.
- 5
Security drills
Lock down access and run a backup restore.
- 6
Capstone build
Ship an end-to-end analytics pipeline.
- Instructor-led delivery, virtual, onsite, or hybrid
- 24 hours of guided instruction and labs
- Sample datasets, SQL scripts, and lab guides
- Pre-program skill assessment and cohort planning
- Capstone project with instructor review
- Post-training support and tuning checklists
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Amazon Redshift Course Topics and Program Outline
Six modules across 24 hours take your team from Redshift architecture to a production-grade analytics pipeline, with guided labs in every module.
Built by Edstellar with data engineering practitioners
Built by data warehouse engineers who run Redshift in production, shaped around your stack and use cases.
We review your warehouse workloads, query pain points, and team skill levels before the program begins.
Core concepts land fast: architecture, data loading, and tuning theory taught through live demos and examples.
Guided labs put every concept to work: learners load, tune, and secure real clusters with instructor support.
The capstone has each team ship a complete, tuned, secured analytics pipeline and present it for review.
Every learner ships a working analytics pipeline on Redshift during the capstone.
Delivered as
Delivery flexes around your team: three full days, six half days, or a custom cadence that protects sprint capacity.
Provision a sample cluster, configure networking, and connect a SQL client to run your first queries.
learna)Columnar storage, MPP slices, and RA3 node architecture
b)Provisioning clusters, parameter groups, and maintenance windows
c)Managed storage, AQUA, and concurrency scaling concepts
d)Networking setup: VPC, security groups, and subnet groups
e)Connecting BI tools and SQL clients to the cluster
Load a multi-gigabyte dataset from S3 with COPY, then benchmark distribution and sort key choices.
learna)COPY command options, manifests, and error handling
b)Staging patterns from S3 and data lakes into Redshift
c)Distribution styles: KEY, ALL, EVEN, and AUTO selection
d)Sort keys: compound, interleaved, and AUTO optimization
e)UNLOAD, data sharing, and zero-ETL integration patterns
Diagnose slow queries in a sample workload and tune them to a target runtime using plans and system views.
practicea)EXPLAIN plans, SVL/SVL_QLOG system views, and diagnostics
b)ANALYZE, VACUUM, and automatic table optimization
c)Workload management: queues, priorities, and concurrency
d)Identifying and fixing skew, broadcast, and nested loop issues
e)Short query acceleration and result caching behavior
Build an analytics layer with Spectrum, federated queries, and materialized views over lake and warehouse data.
practicea)Window functions for running totals, cohorts, and rankings
b)Redshift Spectrum: querying S3 data lakes in place
c)Federated queries across RDS, Aurora, and DynamoDB
d)Materialized views and automatic query rewriting
e)Stored procedures, UDFs, and scheduled query workflows
Implement role-based access, encryption, and a backup/restore drill, then verify the audit trail.
applya)IAM roles, database users, groups, and granular grants
b)Encryption at rest and in transit, KMS key management
c)Audit logging, system tables, and compliance evidence
d)Snapshots, cross-region backups, and restore drills
e)Monitoring with CloudWatch metrics, alarms, and Advisor
Ship a full pipeline on a fresh cluster: load data, tune queries, secure access, and defend your design choices.
applya)Pipeline design: ingestion, modeling, and serving layers
b)Implementing distribution, sort, and compression strategies
c)Tuning a realistic BI workload to performance targets
d)Hardening security and documenting the operating runbook
e)Final review: demo, instructor feedback, and next steps
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
By the end of the program, your team will independently design, load, tune, and operate Amazon Redshift warehouses.
Provision and configure clusters
Set up production-ready Redshift clusters with the right node types, networking, and parameter groups.
Load data at scale
Use COPY, manifests, and S3 staging to move large datasets reliably with proper distribution and sort keys.
Tune query performance
Read EXPLAIN plans and system views to diagnose bottlenecks and cut slow query runtimes.
Build analytics on the lakehouse
Query S3 data in place with Spectrum, join federated sources, and accelerate with materialized views.
Secure and govern the warehouse
Apply IAM roles, encryption, and audit logging that meet enterprise compliance standards.
Operate with confidence
Run backups, monitor with CloudWatch, and manage workloads like a production operations team.
Ship end-to-end pipelines
Deliver a complete, tuned, secured analytics pipeline from raw data to business-ready tables.
Teams that Benefit from this Amazon Redshift Group Training
This program is built for teams that own data platforms and analytics delivery. Content adapts to each cohort's role and experience, so every group practices the warehouse workflows it actually owns.
Own the warehouse end to end
Data engineers design the ingestion, modeling, and serving layers that power analytics at scale.
Workflow friction
- Slow dashboards and timeouts
- Spiraling warehouse costs
- Fragile manual load jobs
How the program helps
- Design clusters for cost and speed
- Automate reliable load pipelines
- Tune queries before users complain
Practice use cases
- ETL pipeline builds
- Query tuning labs
- Cost optimization
Ship trusted data models faster
Analytics engineers turn raw warehouse tables into clean, documented models for the business.
Workflow friction
- Inconsistent metric definitions
- Slow model refresh cycles
- Hard-to-trace data issues
How the program helps
- Model marts on Redshift
- Accelerate with materialized views
- Test data quality in the pipeline
Practice use cases
- Mart modeling labs
- dbt-style workflows
- Quality test design
Deliver dashboards that stay fast
BI developers and analysts build the reports and dashboards business teams rely on every day.
Workflow friction
- Reports timing out
- Heavy ad-hoc query load
- Unexplained slow periods
How the program helps
- Write efficient analytic SQL
- Use window functions confidently
- Keep dashboards under SLA
Practice use cases
- Analytic SQL labs
- Dashboard tuning
- Workload isolation
Run the warehouse like production
Platform teams keep the warehouse secure, monitored, and cost-efficient around the clock.
Workflow friction
- No visibility into usage
- Audit and compliance gaps
- Manual operations toil
How the program helps
- Automate backups and recovery
- Monitor with CloudWatch alarms
- Enforce least-privilege access
Practice use cases
- Backup restore drills
- Security hardening
- Monitoring setup
Cohorts can mix roles or run role-specific tracks; labs and the capstone adapt to the workflows your team owns.
Prerequisites: This program suits data engineers, analytics engineers, BI developers, and platform teams. Basic SQL and familiarity with cloud concepts help but are not required; no prior Redshift experience is needed. Instructors adapt examples, datasets, and labs to each cohort's tools and warehouse context.
Data analyst to data warehouse engineer
Learners enter with SQL basics and exit able to design, tune, and operate production warehouses independently.
One program grows with data careers, from Redshift basics to confident production practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your team's location and lab needs. Every mode includes the same 24 hours, guided labs, and capstone project.
Hybrid Training
Part of the cohort joins in person while remote members attend live. Labs run in shared cloud environments so everyone builds together.
- Live instruction across locations
- Shared cloud lab environments
- Same capstone for all learners
- Flexible scheduling by module
Onsite Training
The instructor delivers the full program at your office, with labs on your network and datasets that mirror your real warehouse.
- Delivered at your location
- Labs on your own network
- Real datasets where possible
- Direct instructor whiteboarding
Live Virtual Training
Live virtual sessions with screen-shared demos, breakout lab rooms, and real-time instructor help on every exercise.
- Live sessions, no recordings only
- Breakout rooms for lab help
- Cloud labs, zero local setup
- Recordings for review after
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, timelines, and preferred dates on the group quote form. We respond with a tailored proposal, usually within one business day.
Yes. A short discovery call helps us map your stack, skill levels, and goals so the lab track fits your team exactly.
Yes. The program runs live virtual with an instructor, with the same guided labs and Q&A as the onsite format.
Yes. Onsite delivery is available worldwide. We coordinate rooms, lab access, and schedules with your team.
The program runs 24 instructor-led hours, typically delivered over three full days or six half-day sessions.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Amazon Redshift comes third here because a warehouse service only makes sense once your team knows SQL and warehouse design. With those in place, your team runs Redshift well, then widens out into the full AWS data engineering stack around it.
Why Choose Edstellar as Your Amazon Redshift Training Provider
Edstellar delivers instructor-led, hands-on training that turns Redshift knowledge into daily engineering practice.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
We tune datasets, lab scenarios, and examples to your warehouse, BI tools, and data governance standards.
Proven Methodology
A diagnose-to-scale arc moves your team from architecture basics to a shipped pipeline with measurable checkpoints.
Practice-Based Learning
Every module ends in guided labs on real clusters, so skills are proven in exercises, not just slides.
Expert Trainers
Instructors are practicing data engineers who have tuned production warehouses and run migrations at scale.
Global Scale
We deliver across time zones with consistent quality, whether your team sits in one office or on five continents.
Measurable Outcomes
Lab checkpoints and the capstone project give you clear evidence of what each learner can now do independently.
Build Redshift Analytics Pipelines With Performance and Governance Evidence
Edstellar helps data teams connect warehouse setup with the loading, query, and operational decisions that follow. Participants ingest data, benchmark physical-design choices, build analytics layers, and test security and recovery. An end-to-end pipeline provides evidence for reviewing performance improvements, access controls, and the rationale behind the warehouse design.
- Step 01
Consult
We explore SQL and cloud experience to identify needs in cluster configuration, scalable loading, query diagnosis, lake integration, access control, or recovery procedures.
- Step 02
Plan
We connect Redshift architecture and data loading with performance tuning and advanced analytics before applying security and operations practices in a complete pipeline build.
- Step 03
Align
We align instruction across data engineering, BI, and platform roles, using sample clusters while providing foundational support for SQL and cloud concepts where needed.
- Step 04
Customize
We tailor sample warehouse and lake datasets, slow queries, and recovery scenarios to familiar analytics workloads while retaining benchmark comparisons and access-verification exercises.
- Step 05
Execute
Participants load with COPY, inspect query plans, and test analytical views and recovery, receiving feedback on design choices, runtime evidence, and auditability.
- Step 06
Evaluate
We assess the pipeline for reliable loading, justified query and storage choices, controlled access, and tested recovery procedures supported by operational evidence.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Amazon Redshift Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Amazon Redshift Training for Your Team
Tell us about your team size, timelines, and warehouse goals. We will design a Redshift program that fits your stack and schedule.