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Data Quality and Analytics Observability Live Training

Learn Data Quality and Analytics Observability one-to-one with Divyanshu Mehta, a Microsoft Certified Trainer who has taught 1 lakh+ learners. Choose 1, 3, 8, or 15 hours of live, personalised mentorship built around your exam date and experience.

  • ✓ Microsoft Certified Trainer (MCT)
  • ✓ 1 lakh+ learners taught
  • ✓ 4.5+ learner rating
  • ✓ Plans from ₹999
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What the Data Quality and Analytics Observability training covers

The syllabus follows the Data Quality and Analytics Observability exam domains, with the most time spent on the heaviest-weighted areas and your weakest topics.

quality dimensions, ownership, contracts and SLOs
schema, freshness, volume, referential and reconciliation tests
dbt models, sources, snapshots, docs, exposures and CI
security, privacy, cost and adoption
profiling, baselines and expectations
GX suites, validation definitions, checkpoints and actions
quarantine, incidents, replay and SLOs
privacy, security, cost and adoption
OpenLineage jobs, runs, datasets and facets
Airflow logging, metrics, traces and health
impact analysis, root cause and metadata catalog
incidents, rollback, backfill, privacy and cost

Domain weights come from the published exam outline used in PrepKloud projects. We recheck the latest official Data Engineering objectives with you in the first session.

Choose your Data Quality and Analytics Observability training plan

All plans are live and one-to-one. Message on WhatsApp to confirm the syllabus and schedule before you pay.

Basic

₹999

1 hour · live 1:1

1-hour 1:1 mentorship session

  • 1 hour of live 1:1 mentorship
  • Skills diagnostic and personalised study plan
  • Deep dive into your weakest topic
  • Exam strategy and resource shortlist
  • Guided hands-on labs
  • Certificate of completion
Book Basic on WhatsApp

Standard

₹2,499

3 hours · live 1:1

3 hours of guided 1:1 training

  • 3 hours of live 1:1 mentorship
  • Everything in Basic
  • Focused coverage of your top-priority domains
  • One guided hands-on lab
  • Practice-question review and exam technique
  • Certificate of completion
Book Standard on WhatsApp
Recommended for exam prep

Premium

₹6,999

8 hours · live 1:1

8 hours of 1:1 training + certificate

  • 8 hours of live 1:1 mentorship
  • Everything in Standard
  • Structured coverage of every exam domain
  • Two guided portfolio projects
  • Mock-exam walkthrough and readiness review
  • PrepKloud certificate of completion
Book Premium on WhatsApp

Enterprise

₹14,999

15 hours · live 1:1

Complete 15-hour training + job support

  • 15 hours of complete 1:1 training
  • Everything in Premium
  • Advanced real-world scenarios and troubleshooting
  • Job support: resume, interview, and on-the-job guidance
  • Custom syllabus for your role, project, or team
  • PrepKloud certificate of completion
Book Enterprise on WhatsApp

Prices are in Indian Rupees for the complete plan. Exam fees are not included. The certificate of completion is issued by PrepKloud and is not an official Data Engineering credential.

Premium: 8-hour outline

  1. Hour 1Diagnostic, goals, exam timeline, and personalised study plan
  2. Hour 2Deep dive: quality dimensions, ownership, contracts and SLOs
  3. Hour 3Deep dive: schema, freshness, volume, referential and reconciliation tests
  4. Hour 4Deep dive: dbt models, sources, snapshots, docs, exposures and CI
  5. Hour 5Deep dive: security, privacy, cost and adoption
  6. Hour 6Guided lab: Governed dbt Warehouse with Contracts, Tests & Documentation
  7. Hour 7Guided lab: GX Data Quality Gateway, Quarantine & SLA Dashboard
  8. Hour 8Mock-exam walkthrough and readiness review

Enterprise: 15-hour outline

  1. Hour 1Diagnostic, goals, exam timeline, and personalised study plan
  2. Hour 2Deep dive: quality dimensions, ownership, contracts and SLOs
  3. Hour 3Deep dive: schema, freshness, volume, referential and reconciliation tests
  4. Hour 4Deep dive: dbt models, sources, snapshots, docs, exposures and CI
  5. Hour 5Deep dive: security, privacy, cost and adoption
  6. Hour 6Deep dive: profiling, baselines and expectations
  7. Hour 7Deep dive: GX suites, validation definitions, checkpoints and actions
  8. Hour 8Deep dive: quarantine, incidents, replay and SLOs
  9. Hour 9Guided lab: Governed dbt Warehouse with Contracts, Tests & Documentation
  10. Hour 10Guided lab: GX Data Quality Gateway, Quarantine & SLA Dashboard
  11. Hour 11Guided lab: OpenLineage Incident & Impact-Analysis Platform
  12. Hour 12Advanced scenarios and troubleshooting drills
  13. Hour 13Mock-exam walkthrough and readiness review
  14. Hour 14Job support: resume and interview preparation
  15. Hour 15Custom topics for your role or team

Outlines are a starting point. The trainer adjusts the order and depth after the diagnostic session.

Hands-on labs you can build with the trainer

  • Governed dbt Warehouse with Contracts, Tests & DocumentationBuild a consumer-owned analytics warehouse with source freshness, model contracts, reconciliation tests, snapshots, exposures, documentation, CI gates, SLOs, and recovery evidence.Intermediate · 16-22 hours
  • GX Data Quality Gateway, Quarantine & SLA DashboardBuild a Great Expectations gateway that profiles synthetic batches, validates owned suites, quarantines critical failures, publishes privacy-safe evidence, tracks SLOs, and replays corrected data.Intermediate · 18-24 hours
  • OpenLineage Incident & Impact-Analysis PlatformInstrument Airflow pipelines with OpenLineage, ingest runtime and design metadata, connect quality assertions to a lineage graph, inject failures, calculate blast radius, roll back, and backfill safely.Advanced · 24-32 hours

See the full Data Quality and Analytics Observability project guides →

Who this training is for

Working professionals and students preparing for Data Quality and Analytics Observability who want structured, hands-on guidance instead of studying alone, and anyone who has attempted the exam before and wants a focused plan.

Helpful before you start

  • Working knowledge of SQL, dimensional modeling, Git, YAML, and command-line testing
  • Read official dbt docs for models, data tests, sources, freshness, contracts, snapshots, documentation, exposures, and node selection
  • A disposable database and dbt profile using least-privilege credentials
  • Synthetic fixture generator with known defects and expected control totals
  • A written cost ceiling, retention plan, threat model, and cleanup checklist

How it works

  1. Message on WhatsAppShare your goal, experience, and preferred plan.
  2. Agree on the planConfirm the syllabus, timeline, and session slots.
  3. Learn live 1:1Online sessions with labs, examples, and practice questions.
  4. Check readinessReview weak areas and decide when to book your exam.

Free Data Quality and Analytics Observability resources to use between sessions

Study roadmapStep-by-step preparation sequenceLearning pathEverything for this certification in one placePractice questionsOriginal scenario questionsFlashcardsQuick revision between sessionsPortfolio projectsHands-on labs with validation

Data Quality and Analytics Observability live training FAQs

What is included in the Data Quality and Analytics Observability live training?

Every plan is live, one-to-one mentorship for Data Quality and Analytics Observability. Basic (₹999) is a 1-hour diagnostic and study-plan session, Standard (₹2,499) gives 3 hours of guided training, Premium (₹6,999) gives 8 hours with portfolio projects and a certificate of completion, and Enterprise (₹14,999) gives 15 hours of complete training with advanced scenarios, job support, and custom requirements.

Who is the trainer for Data Quality and Analytics Observability?

Divyanshu Mehta is a Microsoft Certified Trainer and Udemy instructor who has taught more than 1 lakh learners across cloud, DevOps, AI, and certification courses, with a 4.5+ average learner rating. Sessions are delivered one-to-one, so the pace and examples follow your experience and target role.

Which Data Quality and Analytics Observability topics are covered?

The training follows the published exam domains, including quality dimensions, ownership, contracts and SLOs, schema, freshness, volume, referential and reconciliation tests, dbt models, sources, snapshots, docs, exposures and CI, security, privacy, cost and adoption, profiling, baselines and expectations. The first session maps these to your current strengths and the latest official objectives.

How are the sessions delivered and scheduled?

Sessions are live online video calls. After you message on WhatsApp, we agree on your goals, timeline, and session slots before you pay. Hours can be split across multiple sessions.

Is the exam fee included?

No. Exam registration and fees are paid directly to Data Engineering or its authorised exam provider. The training fee covers mentorship only.

Do you guarantee that I will pass Data Quality and Analytics Observability?

No training can honestly guarantee a pass. The mentorship focuses on understanding, hands-on practice, and readiness checks so you can decide when to book the exam with confidence.

What certificate do I receive?

Premium and Enterprise plans include a PrepKloud certificate of completion for the training. It is not an official Data Engineering certification; the official credential is awarded only by passing the vendor exam.

What does job support include in the Enterprise plan?

Job support is practical guidance: resume and LinkedIn review, interview preparation, and help reasoning through real work problems. It does not include placement guarantees or doing your job on your behalf.

Can I upgrade my plan or train a team?

Yes. You can move to a higher plan by paying the difference, and the Enterprise plan supports custom syllabi for teams, projects, or specific tools. Share your requirements on WhatsApp.

Start your Data Quality and Analytics Observability training this week

Tell us your exam date and experience, and get a recommended plan on WhatsApp.

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PrepKloud is an independent training provider and is not affiliated with or endorsed by Data Engineering. Product names and exam codes are trademarks of their owners. Training does not guarantee exam results, employment, or placement.