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.
Training TimescaleDB - Optimizing Time-Series Data in the Enterprise
Trusted by — schools, companies and industrial groups
25,751 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Learning objectives
- Master TimescaleDB hypertables to manage massive volumes of time-series data
- Develop optimized queries and continuous aggregates in a professional context
- Implement compression and downsampling to reduce storage costs
- Design scalable architectures with certified enterprise TimescaleDB
- Optimize monitoring and alerting performance on time-series data
- Deploy TimescaleDB data pipelines connected to IoT and analytics tools
Program
Module 1TimescaleDB Hypertables: Modeling and Data Ingestion (PostgreSQL, Chunks, ETL Tools)
Creating TimescaleDB hypertables on PostgreSQL to structure massive time-series data, configuring automated chunks and retention policies, ingesting data via ETL tools like Kafka or Telegraf, practical exercises on real IoT datasets, developing schemas adapted to business cases, producing a first scalable prototype with real-time performance metrics.
Module 2Advanced TimescaleDB Queries: Continuous Aggregates and Compression (Hyperfunctions, Gaps)
Exploring TimescaleDB hyperfunctions for real-time aggregations, implementing continuous aggregates on dynamic data streams, enabling native compression to reduce storage costs by 10x, detecting and handling gaps in time-series data, practical workshops on optimizing advanced SQL queries, creating interactive dashboards with exportable results for professional reporting.
Module 3Scaling and Monitoring TimescaleDB: Production Deployment (Kubernetes, Grafana, Alerting)
Distributed deployment of TimescaleDB in a high-availability cluster on Kubernetes, configuring monitoring with Grafana and Prometheus for proactive alerting, optimizing performance under extreme loads via advanced sharding, real business cases in IoT and finance, resilience testing and final tuning, delivery of a complete ongoing project with documentation and maintenance plan for immediate production integration.
Evaluation method
- Multiple-choice quiz to validate learning outcomes at the end of the training
- Continuous evaluation through practical exercises
- Defense of the ongoing project in front of the trainer
Learning method
- Courses led by an active expert trainer
- Practical exercises on real business cases
- Progressive ongoing project throughout the training
- Complete course materials provided to each participant
Methods, materials and delivery
The Training TimescaleDB - Optimizing Time-Series Data in the Enterprise 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 - Optimizing Time-Series Data in the Enterprise 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 - Optimizing Time-Series Data in the Enterprise 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
Training quality, guaranteed at every step
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.
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.
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.
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.
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
FAQ
Frequently asked questions
Which tools are used in TimescaleDB training?+
Hands-on work runs on postgreSQL, chunks, ETL Tools, hyperfunctions, gaps and kubernetes. Those tools come from the TimescaleDB program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after TimescaleDB training?+
They can master TimescaleDB hypertables to manage massive volumes of time-series data, develop optimized queries and continuous aggregates in a professional context and implement compression and downsampling to reduce storage costs. 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 Hypertables: Modeling and Data Ingestion (PostgreSQL, Chunks, ETL Tools). Day 2: Advanced TimescaleDB Queries: Continuous Aggregates and Compression (Hyperfunctions, Gaps). Day 3: Scaling and Monitoring TimescaleDB: Production Deployment (Kubernetes, Grafana, Alerting). The TimescaleDB program runs over 3 days, delivered on site.
How is TimescaleDB training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous evaluation through practical exercises and defense of the ongoing project in front of 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 is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.TimescaleDB 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 TimescaleDB 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 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, knowledge of 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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