Training Dataflow - Mastering Advanced Pipeline Tests

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: IBF396
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without advanced Dataflow test mastery, 70% of data pipelines suffer production bugs, causing estimated data losses of 100k€ per incident according to Gartner.

  • Companies lose 20% ROI on data projects due to failing QA downtimes, directly hurting competitiveness.

  • Professionals face rapid skill obsolescence, with 40% of data engineers failing internal audits.

  • Invest now to secure your pipelines and boost your software QA career.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,808 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Dataflow training objectives

  • Master advanced unit tests on Dataflow pipelines for professional, certifying QA
  • Develop skills in end-to-end functional testing adapted to enterprise data flows
  • Design automated testing strategies to optimize Dataflow performance
  • Implement monitoring and debugging tools for robust quality assurance
  • Optimize Dataflow pipelines through load and resilience testing in professional contexts
  • Deploy certifying test frameworks to accelerate data development cycles
  • Acquire transferable skills to certify software quality in production

Dataflow curriculum: 5 modules over 5 days

Module 1 : Dataflow Unit Tests: Beam Pipelines with Advanced Pytest and Mocks (Practical Exercises)

Discover advanced techniques for testing Dataflow transformations with Apache Beam, using Pytest to simulate massive data and validate isolated DoFns. Perform exercises on real pipelines to detect memory leaks early, configure mocks for external IO like Pub/Sub, produce coverage reports with at least 90% coverage, and apply these skills to a concrete enterprise case for immediate QA.

Module 2 : Dataflow Functional Tests: End-to-End Workflow Validation (Dataflow Runner Tools)

Dive into comprehensive functional testing of Dataflow pipelines, orchestrating jobs via Dataflow Runner to simulate real flows. Integrate BigQuery to verify aggregations, develop assertions on schemas and data volumes, test network error resilience with fault-injection scenarios, generate result dashboards via Jupyter, and apply everything to a data warehouse project to boost your professional certifying skills.

Module 3 : Continuous Integration for Dataflow: CI/CD with Jenkins and Parallel Tests (Automated Deliverables)

Integrate Dataflow tests into CI/CD pipelines using Jenkins or GitHub Actions, configure parallel tests on Dataflow for faster feedback, automate Beam templates for secure deployments, measure coverage with Codecov, manage ephemeral test environments on GCP, simulate load spikes to validate scalability, and complete with a production-ready deliverable for enterprise, strengthening your software quality assurance skills.

Module 4 : Dataflow Performance Tests: Monitoring with Stackdriver and Optimization (Advanced Use Cases)

Optimize Dataflow pipeline performance through load testing with Apache JMeter integrated into Beam, monitor CPU metrics and watermarks with Stackdriver, identify bottlenecks in massive shuffles, apply advanced tuning like custom windowing, test scalability up to 1M events/second, produce quantified optimization reports, and explore real enterprise cases for certifying and performant data QA.

Module 5 : Advanced Dataflow QA: Security, Compliance, and Certification (Final Certifying Project)

Master Dataflow security testing with IAM scans and Data Loss Prevention, validate GDPR compliance on sensitive flows, integrate mutation tests for robustness, deploy a complete QA framework with Slack alerting, review best practices for zero-downtime, and conclude with a capstone project on a real e-commerce pipeline to earn a certifying attestation valuing your advanced software testing skills.

How Dataflow skills are assessed

  • Daily interactive quizzes and personalized feedback
  • Real case studies with analysis of concrete results
  • Final project of a tested pipeline, graded on professional QA criteria

How the Dataflow course is taught

  • 70% hands-on practice on real enterprise cases with Dataflow
  • 30% applied theory through interactive workshops
  • Hands-on exercises in small groups of max 10
  • 3-month post-training support for implementation

Dataflow training: access and practical arrangements

The Training Dataflow - Mastering Advanced Pipeline Tests program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Dataflow - Mastering Advanced Pipeline Tests program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Dataflow - Mastering Advanced Pipeline Tests program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your Dataflow training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Dataflow: frequently asked questions

Which tools are used in Dataflow training?+
Hands-on work runs on practical Exercises, dataflow Runner Tools, automated Deliverables, advanced Use Cases and final Certifying Project. Those tools come from the Dataflow program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Dataflow training?+
They can master advanced unit tests on Dataflow pipelines for professional, certifying QA, develop skills in end-to-end functional testing adapted to enterprise data flows and design automated testing strategies to optimize Dataflow performance. Those are the stated objectives of the Dataflow program at Advanced level, checked by the end-of-session assessment.
What does the Dataflow program cover, day by day?+
Day 1: Dataflow Unit Tests: Beam Pipelines with Advanced Pytest and Mocks (Practical Exercises). Day 2: Dataflow Functional Tests: End-to-End Workflow Validation (Dataflow Runner Tools). Day 3: Continuous Integration for Dataflow: CI/CD with Jenkins and Parallel Tests (Automated Deliverables). Day 4: Dataflow Performance Tests: Monitoring with Stackdriver and Optimization (Advanced Use Cases). Day 5: Advanced Dataflow QA: Security, Compliance, and Certification (Final Certifying Project). The Dataflow program runs over 5 days, delivered on site.
How is Dataflow training assessed?+
Assessment relies on daily interactive quizzes and personalized feedback, real case studies with analysis of concrete results and final project of a tested pipeline, graded on professional QA criteria. Learni issues a completion certificate together with the individual assessment report at the end of the Dataflow program, which an L&D team can file as evidence.
How much does Dataflow training cost per participant?+
Dataflow training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Dataflow training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Dataflow training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Dataflow training?+
Proven experience in Apache Beam and Google Dataflow, mastery of basic unit and functional tests, programming skills in Python or Java, knowledge of CI/CD.
Is a certificate issued after Dataflow training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Your professional training, anywhere

Let's build your Dataflow learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

Dataflow training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks