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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
Trusted by — schools, companies and industrial groups
25,808 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Quick installation of TimescaleDB on PostgreSQL, create your first hypertable to ingest millions of timestamps, practical exercises on real IoT datasets, configure automatic chunks for efficient data partitioning, initial benchmarks comparing standard versus hypertable performance, and generate optimized storage reports to validate immediate enterprise gains.
Advanced configuration of native TimescaleDB compression on large hypertables, practical tests reducing storage by 90% on historical datasets, implementation of automatic retention policies to purge old data, exercises on real-world energy and finance cases, analysis of CPU/memory impacts with integrated monitoring tools, and production of maintenance plans for scalable production environments.
Develop continuous aggregates for real-time aggregation of high-frequency time series, exercises on hourly/daily/weekly downsampling with automatic refresh, integration with BI dashboards like Grafana, practical cases on industrial monitoring, optimization of materialized views for sub-second queries, and creation of deliverables ready for professional data team deployment.
Connect TimescaleDB to Kafka or RabbitMQ streams for real-time ingestion, practical exercises building end-to-end pipelines with simulated IoT data, configuration of multi-node clusters for high availability, load testing with adapted pgbench, resolution of common enterprise bottlenecks, and complete documentation of your distributed architecture for immediate production rollout.
In-depth performance analysis with TimescaleDB monitoring extensions and pg_stat_statements, creation of specialized indexes for complex temporal queries, optimization exercises reducing latency by 70% on real workloads, setup of proactive alerting via Grafana/Prometheus, case studies on avoided production failures, and completion of a certifying red thread project with full audit and strategic improvement plan.
The Training TimescaleDB - Managing Large-Scale Time Series 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 Large-Scale Time Series program, the following equipment is required:
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.
Skills assessment methods
Assessment of skills acquired during the Training TimescaleDB - Managing Large-Scale Time Series program is performed through:
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.
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.
Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
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.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
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.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Databases & SQLIndustry-certified
Backend & APIsIndustry-certified
PythonIndustry-certified
Databases & SQLIndustry-certified
Databases & SQLIndustry-certified
Databases & SQLIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certified
Data analysis & BIIndustry-certified
Data scienceIndustry-certified
Data scienceIndustry-certified
Data scienceIndustry-certified
PythonIndustry-certified
PythonIndustry-certified
PythonIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
We will call +1 (United States) 🇺🇸 — change the country code on the left if your number is from elsewhere.