Apache Iceberg — Fundamentals, Integration and Guided Practice
A foundation–intermediate course on Apache Iceberg (framework/platform/tool): learn the essentials, practise with guided exercises and finish with an applied project.
Register your interest. Dates and delivery are confirmed before enrolment opens.
What you will be able to do.
Build understanding, put it into practice and finish with work you can explain.
- Model data for Apache Iceberg
- Write and optimise queries or pipelines
- Understand consistency and performance
- Operate and protect data safely
Is this for you?
Learners and working developers who want a clear, practical start with Apache Iceberg and the confidence to use it on real tasks.
Before you begin
SQL; Python or Java; data pipelines
From first principles to applied work.
Concepts → Fundamentals → Guided practice → Applied task/project → Review
Planned outline. Lessons, trainer and schedule are confirmed before this course opens.
01ConceptsHow Apache Iceberg stores and serves data
Understand the data model, guarantees and typical workloads of Apache Iceberg.
- Data model and storage approach
- Consistency and durability
- Typical workloads
- When to choose Apache Iceberg
Describe one workload that suits Apache Iceberg and one that does not.
02FundamentalsSetup and first queries
Run Apache Iceberg locally and perform basic reads and writes.
- Local setup or a managed instance
- Clients and connection settings
- Basic reads and writes
- Inspecting data
Load a sample dataset and run ten basic queries or operations.
03FundamentalsModelling data
Design schemas, keys or documents that fit the questions you need to answer.
- Schema or document design
- Keys, relationships and constraints
- Migrations and versioning
- Common modelling mistakes
Model a small application's data and justify your choices.
04Guided practiceQuerying and transforming
Write queries or pipelines that answer real questions correctly.
- Filtering, joining or aggregating
- Transformations
- Correctness checks
- Using Apache Iceberg from application code
Answer five business questions with tested queries or pipeline steps.
05Guided practicePerformance
Make reads and writes fast enough, and understand why they are slow.
- Indexes, partitions or caching
- Explain plans or profiling
- Batching and concurrency
- Cost awareness
Find and fix a slow query or step and measure the improvement.
06Guided practiceOperating data safely
Protect, back up and recover data.
- Access control
- Backup and restore
- Monitoring
- Privacy and retention
Run a backup and restore drill and document it.
07Applied task/projectProject: a data layer for an application
Design, load and operate a data layer that serves a defined use case.
- Requirements and model
- Loading and querying
- Performance checks
- Documentation
Deliver the data layer with a short report on model, queries and limits.
08ReviewReview and next steps
Consolidate trade-offs, scaling options and maintenance practices.
- Scaling options
- Upgrades and migrations
- Common failure modes
- Next steps
Complete the review checklist and plan your next step.
Where this course stands.
Verify current documentation and maintenance status; pin supported lab versions before launch
- Course ID
- IWA-0424
- Content
- Outline proposed
- Trainer
- To be assigned
- Enrolment
- Not open · requests welcome
- Publication
- Planned
- Catalogue date
- 2026-10-06
Part of a wider career path.
Want to learn this?
Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
- Your course is already selected
- Just your name and email to get started
- No payment or booking commitment
A certificate, and support for what comes next.
Finishing Apache Iceberg — Fundamentals, Integration and Guided Practice is planned to include the support below. It opens with the first batch; enrolment pages confirm what is included before you pay.
Completion certificate
Issued with a unique ID once your final project passes review. It records what you built, not just attendance.
Certification policyJob-readiness support
Portfolio and GitHub review, resume feedback, a mock interview and referrals when suitable openings come up. No placement guarantee.
Career mentorshipFreelancing support
Guidance on pricing, proposals and your first client project, plus a review of your freelance profile and portfolio.
Build client-style projectsStartup community
An invite to the Innovate with Ajay community to meet builders, find co-founders, join hackathons and get feedback on product ideas.
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