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Training TimescaleDB - Mastering Time-Series Data for Networks

Ref: HJI356
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the installation and configuration of TimescaleDB for a professionally certified training in telecoms
  • Develop skills in modeling time series adapted to 5G and IoT networks
  • Design hypertables optimized for massive storage of telecom data in enterprise
  • Implement compression and retention policies to reduce storage costs
  • Optimize temporal queries with advanced TimescaleDB functions
  • Deploy TimescaleDB solutions integrated with VoIP and fiber optic monitoring tools
  • Acquire certified skills to boost telecom team performance

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1TimescaleDB Installation: Extended PostgreSQL Configuration (Docker Tools, Automated Scripts)

Discover rapid TimescaleDB installation via Docker and Debian packages, configure essential extensions for telecom environments, perform practical exercises on PostgreSQL clusters, test compatibility with 5G IoT data, generate your first hypertables with performance metrics, and validate setups via initial benchmarks to ensure a solid foundation in professional training.

Module 2TimescaleDB Modeling: Hypertables and Chunks for Time-Series Data (Network Schemas)

Dive into creating time-partitioned hypertables for fiber optic network logs, apply optimized chunks to real VoIP cases, practice migrating standard PostgreSQL tables to TimescaleDB, analyze 5G data patterns with guided exercises, generate schemas adapted to telecom enterprises, and measure query performance impact for immediate upskilling.

Module 3Advanced TimescaleDB Queries: Temporal Functions and Aggregations (gapfill, time_bucket)

Master time_bucket and gapfill functions to analyze 5G traffic time series, execute continuous aggregations on massive VoIP datasets, perform practical labs with hyperloglog queries for deduplication, integrate temporal windows on fiber optic data, optimize hypertable joins with PostgreSQL tools, and produce analytical reports ready for enterprise dashboards in certified training.

Module 4TimescaleDB Optimization: Compression, Retention, and Monitoring (Automated Policies)

Configure compression policies to reduce telecom log storage by up to 90%, implement automatic retention jobs on 5G hypertables, monitor performance via pg_stat_statements and TimescaleDB Toolbox, test high-load IoT scenarios, apply advanced tuning for real-time VoIP, generate custom alerts, and validate gains through practical exercises tailored to telecom team needs.

Module 5TimescaleDB Deployment: CI/CD Integration and Telecom Use Cases (HA, Grafana)

Deploy TimescaleDB in high availability with Patroni for critical fiber optic infrastructures, integrate with Grafana and Prometheus for 5G dashboards, automate VoIP data pipelines via GitLab CI/CD, simulate real telecom IoT cases with scalability exercises, test failure resilience, produce a final certifying project with deployable deliverables for enterprise, and consolidate skills for immediate application.

Evaluation method

  • Daily interactive quizzes on TimescaleDB concepts to validate theoretical knowledge
  • Final practical project: deployment of a 5G monitoring database with quantified report
  • Qualiopi certified evaluation included, delivery of professional skills attestation

Learning method

  • 70% hands-on pedagogy on real telecom cases, 30% theory for rapid assimilation
  • Classes limited to 10 participants for personalized follow-up and rich exchanges
  • Open-source tools: Docker, PostgreSQL, Grafana for enterprise reproduction
  • Unlimited access to materials and labs for 6 months post-training

Methods, materials and delivery

The Training TimescaleDB - Mastering Time-Series Data for Networks program is delivered onsite or remote (blended-learning, e-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 - Mastering Time-Series Data for Networks 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 - Mastering Time-Series Data for Networks 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
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« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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.

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