Training Data Lake - Storing and Exploiting Massive Data

$3,465

  • 3 days
  • Onsite
  • 10 people max.
Ref: KCE857
10 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without a Data Lake, companies waste 60% of their time managing heterogeneous data silos.

  • Analysis errors cost poorly equipped SMEs an average of 15 million € per year.

  • 78% of data projects fail due to lack of scalable infrastructure, hindering innovation and competitiveness.

  • Your teams risk obsolescence against competitors who leverage big data effectively.

  • Every quarter without Data Lake skills widens the business gap by 25%.

  • Act to turn data into a strategic asset.

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

40,840 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.

Data Lake training objectives

  • Master the fundamentals of Data Lake for professional projects
  • Design scalable Data Lake architecture in a business context
  • Implement ingestion of heterogeneous data using open-source tools
  • Exploit data via queries and basic certifying analyses
  • Optimize governance and quality in a Data Lake
  • Develop skills to integrate a Data Lake into production

Data Lake curriculum: 3 modules over 3 days

Module 1 : Data Lake Fundamentals: Principles and Initial Architecture (Hadoop, S3, Storage Zones)

Discovery of key Data Lake concepts, differentiation from data warehouse, hands-on with tools like AWS S3 or Hadoop to create raw, curated, and refined zones, practical exercises on ingesting various CSV and JSON files, simple scalable architecture modeling, production of an initial schema with diagrams and documentation for enterprise projects.

Module 2 : Data Lake Ingestion: Tools and ETL Pipelines (Apache NiFi, Kafka, Spark)

Configuration of ingestion tools like Apache NiFi for batch and streaming flows, implementation of basic ETL pipelines with Spark, processing of structured and unstructured data, real-world cases on application logs and IoT sensors, performance testing, creation of reusable scripts, generation of reports on ingested volume to validate robustness in professional contexts.

Module 3 : Data Lake Exploitation: Queries, Governance, and Deployment (Athena, Databricks Governance)

SQL queries on Data Lake via Amazon Athena or Presto, implementation of metadata with Apache Atlas, workshops on data quality and access security, partitioning optimization for fast queries, pilot deployment on cloud, final exercises with ongoing project analysis, delivery of complete governance plan and skills ready for certifying production.

How Data Lake skills are assessed

  • Multiple-choice quiz to validate learning at the end of the training
  • Continuous assessment through practical Data Lake exercises
  • Defense of the ongoing Data Lake project in front of the trainer

How the Data Lake course is taught

  • Courses led by an active expert Data Lake trainer
  • Practical exercises on enterprise massive data cases
  • Progressive ongoing project on a real Data Lake
  • Complete course materials provided to each participant

Data Lake training: access and practical arrangements

The Training Data Lake - Storing and Exploiting Massive Data 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 Data Lake - Storing and Exploiting Massive Data 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 Data Lake - Storing and Exploiting Massive Data 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 Data Lake 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

Data Lake: frequently asked questions

Which tools are used in Data Lake training?+
Hands-on work runs on hadoop, s3, storage Zones, apache NiFi, kafka and spark. Those tools come from the Data Lake program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Data Lake training?+
They can master the fundamentals of Data Lake for professional projects, design scalable Data Lake architecture in a business context and implement ingestion of heterogeneous data using open-source tools. Those are the stated objectives of the Data Lake program at Beginner level, checked by the end-of-session assessment.
What does the Data Lake program cover, day by day?+
Day 1: Data Lake Fundamentals: Principles and Initial Architecture (Hadoop, S3, Storage Zones). Day 2: Data Lake Ingestion: Tools and ETL Pipelines (Apache NiFi, Kafka, Spark). Day 3: Data Lake Exploitation: Queries, Governance, and Deployment (Athena, Databricks Governance). The Data Lake program runs over 3 days, delivered on site.
How is Data Lake training assessed?+
Assessment relies on multiple-choice quiz to validate learning at the end of the training, continuous assessment through practical Data Lake exercises and defense of the ongoing Data Lake project in front of the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Data Lake program, which an L&D team can file as evidence.
How much does Data Lake training cost per participant?+
Data Lake training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 Data Lake training take?+
3 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 Data Lake 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 Data Lake training?+
Basic knowledge of SQL and relational databases.
Is a certificate issued after Data Lake 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.
Does Learni provide the equipment for Data Lake training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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