Training Dataflow - Mastering Scalable Data Pipelines

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: UEY344
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering Dataflow, your pipelines run 50% less efficiently, wasting thousands of euros each month on unused GCP resources.

  • Teams without streaming skills lose 35% real-time responsiveness, missing critical business opportunities like instant fraud analysis.

  • In 2024, 68% of mid-level data engineers stagnate in their careers due to lacking scalable frameworks like Beam.

  • Every quarter without training widens the competitive gap, with data incident costs multiplied by 3 among agile competitors.

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

25,807 programs · 25 countries

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

Every program built with a dedicated engineer

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

Dataflow training objectives

  • Master Dataflow pipelines for professional batch and streaming processing
  • Develop efficient data transformations with Apache Beam
  • Implement scalable pipelines connected to Pub/Sub and BigQuery
  • Optimize the performance and costs of Dataflow jobs in enterprise settings
  • Design reusable templates for certifiable competencies
  • Deploy and monitor Dataflow applications in production

Dataflow curriculum: 4 modules over 4 days

Module 1 : Dataflow Fundamentals: Batch Pipelines with Apache Beam (Java/Python, SDK, GCP Execution)

Installation of the Dataflow environment and creation of a first professional batch pipeline, exploration of Beam concepts like PCollection and DoFn, development of simple transformations on real enterprise datasets, execution of jobs on Google Cloud with initial log analysis, practical exercises to transform CSV files into BigQuery, production of a functional deliverable with code review by the trainer.

Module 2 : Dataflow Streaming: Real-Time Processing (Pub/Sub, Windowing, Source Integrations)

Configuration of streaming sources via Pub/Sub and Kafka for continuous flows, implementation of time windows and advanced aggregations in Beam, real-time data processing with joins and custom states, simulation of business use cases like IoT log analysis, interactive debugging with Dataflow Runner, realization of a complete pipeline ingesting events into BigQuery for immediate insights.

Module 3 : Dataflow Optimization: Performance and Costs (Fusion, Sampling, Stackdriver Monitoring)

Analysis of Dataflow metrics to identify bottlenecks, optimization techniques such as transformation fusion and adaptive sampling, GCP cost reduction up to 40% via autoscaling and machine types, advanced monitoring with Stackdriver and custom alerts, exercises on a large enterprise dataset, production of a quantified optimization report proving gains in efficiency and scalability.

Module 4 : Advanced Dataflow: Templates and Deployments (CI/CD, Side Inputs, Streaming Graphs)

Design of reusable Dataflow templates for quick team deployments, integration of side inputs and complex streaming graphs, automation via Cloud Build for professional CI/CD, unit tests and continuous integration on business pipelines, production deployment with high availability, finalization of the capstone project with presentation and action plan for the enterprise.

How Dataflow skills are assessed

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises on real pipelines
  • Presentation of the capstone Dataflow project to the trainer

How the Dataflow course is taught

  • Courses led by an active expert Dataflow trainer
  • Practical exercises on real enterprise big data cases
  • Progressive capstone project over 4 days with Dataflow
  • Complete course materials and GCP resources provided to participants

Dataflow training: access and practical arrangements

The Training Dataflow - Mastering Scalable Data Pipelines 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 Scalable Data Pipelines 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 Scalable Data Pipelines 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 java, python, SDK, GCP Execution, pub and sub. Those tools come from the Dataflow program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Dataflow training?+
They can master Dataflow pipelines for professional batch and streaming processing, develop efficient data transformations with Apache Beam and implement scalable pipelines connected to Pub/Sub and BigQuery. Those are the stated objectives of the Dataflow program at Intermediate level, checked by the end-of-session assessment.
What does the Dataflow program cover, day by day?+
Day 1: Dataflow Fundamentals: Batch Pipelines with Apache Beam (Java/Python, SDK, GCP Execution). Day 2: Dataflow Streaming: Real-Time Processing (Pub/Sub, Windowing, Source Integrations). Day 3: Dataflow Optimization: Performance and Costs (Fusion, Sampling, Stackdriver Monitoring). Day 4: Advanced Dataflow: Templates and Deployments (CI/CD, Side Inputs, Streaming Graphs). The Dataflow program runs over 4 days, delivered on site.
How is Dataflow training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises on real pipelines and presentation of the capstone Dataflow project to the trainer. 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 $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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?+
4 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?+
Knowledge of Java or Python, basics of Google Cloud Platform and Apache Beam.
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.
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