Training TimescaleDB - Managing Massive Time-Series Data

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: GIV286
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 TimescaleDB, queries on massive time-series data slow by 100x, wasting 30% of data engineers' time on debugging.

  • Companies store 5 times more unnecessary data, driving cloud costs to 50k€/an for 1To of time-series data.

  • 65% of IoT projects fail from lack of time-series optimization, threatening competitiveness and careers.

  • In 2026, recruiters demand TimescaleDB: each quarter without the skills widens a 40% productivity gap against 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

25,809 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.

TimescaleDB training objectives

  • Master TimescaleDB hypertables for storing professional time-series data
  • Develop skills in compression and continuous aggregates to optimize performance
  • Implement retention policies and advanced queries in an enterprise context
  • Design scalable data pipelines with TimescaleDB and associated tools
  • Optimize monitoring and scaling for certified applications
  • Deploy TimescaleDB in production for real IoT and analytics use cases

TimescaleDB curriculum: 4 modules over 4 days

Module 1 : TimescaleDB Fundamentals: Installation and Hypertables (PostgreSQL, Timescale CLI, IoT Cases)

Quick installation of TimescaleDB on PostgreSQL in a professional environment, creation and configuration of hypertables to ingest millions of time-series data points per day, practical exercises on real IoT datasets with bulk insertion via COPY and INSERT, exploration of automatic chunk schema, first benchmarks showing query acceleration compared to standard PostgreSQL, and development of a red thread project on industrial monitoring.

Module 2 : TimescaleDB Compression: Storage Reduction and Continuous Aggregates (Algorithms, UDFs, Materialized Views)

Configuration of native compression policies to reduce disk space by 90% without loss of precision, practical tests on large sensor datasets, implementation of continuous aggregates for real-time dashboards with automatic refresh, use of extensions like PostGIS for spatio-temporal data, exercises on cloud cost optimization on AWS or GCP, and integration into the red thread project with custom metrics for enterprise analytics.

Module 3 : Advanced TimescaleDB Queries: time_bucket, Retention, and Integrations (Grafana, Kafka, API)

Mastery of temporal functions like time_bucket and gapfill for precise analyses on sliding windows, setup of automatic retention policies for GDPR compliance, exercises on hypertable joins and hyperfunctions for complex correlations, connection with Kafka for real-time streaming and Grafana for professional visualizations, concrete cases in financial applications and DevOps monitoring, advancement of the red thread project with custom queries and alerts.

Module 4 : TimescaleDB Scaling and Production: Monitoring, High Availability (pgBouncer, Patroni, Kubernetes)

Multi-node deployment with high availability via Patroni and pgBouncer for zero downtime, configuration of advanced monitoring with TimescaleDB Tune and Prometheus, horizontal scaling exercises on Kubernetes clusters, performance optimization under extreme load with 1 billion rows, security audit and automated backups, finalization and defense of the red thread project simulating a Qualiopi-certified enterprise deployment.

How TimescaleDB skills are assessed

  • Technical MCQ on TimescaleDB and PostgreSQL at the end of the training
  • Practical evaluation through benchmarks and query optimization
  • Defense of the red thread project with code review by the trainer

How the TimescaleDB course is taught

  • Sessions led by a certified active TimescaleDB expert
  • Hands-on exercises on real enterprise and IoT datasets
  • Concrete evolving red thread project over 4 days
  • Complete pedagogical support and unlimited online resources

TimescaleDB training: access and practical arrangements

The Training TimescaleDB - Managing Massive Time-Series 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 TimescaleDB - Managing Massive Time-Series 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 TimescaleDB - Managing Massive Time-Series 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 TimescaleDB 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

TimescaleDB: frequently asked questions

Which tools are used in TimescaleDB training?+
Hands-on work runs on postgreSQL, timescale CLI, ioT Cases, algorithms, UDFs and materialized Views. Those tools come from the TimescaleDB program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after TimescaleDB training?+
They can master TimescaleDB hypertables for storing professional time-series data, develop skills in compression and continuous aggregates to optimize performance and implement retention policies and advanced queries in an enterprise context. Those are the stated objectives of the TimescaleDB program at Intermediate level, checked by the end-of-session assessment.
What does the TimescaleDB program cover, day by day?+
Day 1: TimescaleDB Fundamentals: Installation and Hypertables (PostgreSQL, Timescale CLI, IoT Cases). Day 2: TimescaleDB Compression: Storage Reduction and Continuous Aggregates (Algorithms, UDFs, Materialized Views). Day 3: Advanced TimescaleDB Queries: time_bucket, Retention, and Integrations (Grafana, Kafka, API). Day 4: TimescaleDB Scaling and Production: Monitoring, High Availability (pgBouncer, Patroni, Kubernetes). The TimescaleDB program runs over 4 days, delivered on site.
How is TimescaleDB training assessed?+
Assessment relies on technical MCQ on TimescaleDB and PostgreSQL at the end of the training, practical evaluation through benchmarks and query optimization and defense of the red thread project with code review by the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the TimescaleDB program, which an L&D team can file as evidence.
How much does TimescaleDB training cost per participant?+
TimescaleDB 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 TimescaleDB 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 TimescaleDB 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 TimescaleDB training?+
Mastery of SQL and PostgreSQL, experience with relational databases.
Is a certificate issued after TimescaleDB 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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