Training TimescaleDB - Managing Large-Scale Time Series

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: MNR826
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without TimescaleDB mastery, time-series queries explode in latency, moving from seconds to hours on terabytes of data and costing companies 30% loss in data productivity.

  • Untrained teams accumulate 5x more unnecessary storage, with cloud bills inflated by 40 to 60%.

  • In 2024, 68% of IoT projects fail due to lack of temporal optimization, stalling innovation and careers.

  • Every quarter without TimescaleDB skills exposes your company to competitors 3x more agile in real-time analysis.

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

25,808 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 to efficiently store temporal data in enterprise environments
  • Develop optimized queries on massive time series volumes
  • Implement compression and continuous aggregates for professional-grade performance
  • Design scalable schemas integrating TimescaleDB into modern data architectures
  • Optimize storage and queries to reduce production costs in certified environments
  • Deploy real-time data pipelines with TimescaleDB in enterprise contexts

TimescaleDB curriculum: 5 modules over 5 days

Module 1 : TimescaleDB: Installation and Hypertables for Time Series Data (PostgreSQL, Chunks)

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.

Module 2 : TimescaleDB: Compression and Retention Policies (LZ Algorithms, Time Partitioning)

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.

Module 3 : TimescaleDB: Continuous Aggregates and Materialized Views (Downsampling, Refresh)

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.

Module 4 : TimescaleDB: API Integration and Horizontal Scaling (Kafka, RabbitMQ, Multi-Node)

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.

Module 5 : TimescaleDB: Advanced Optimization and Monitoring (GIN Indexes, pg_stat, Alerting)

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.

How TimescaleDB skills are assessed

  • Technical MCQ on TimescaleDB and its advanced features
  • Continuous assessment through practical exercises and benchmarks
  • Defense of the red thread hypertable project in an enterprise context

How the TimescaleDB course is taught

  • Sessions led by an active certified TimescaleDB expert
  • Hands-on exercises on real enterprise datasets
  • Evolving red thread project over 5 days for lasting skills
  • Digital learning resources and printed materials provided

TimescaleDB training: access and practical arrangements

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:

  • 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 Large-Scale Time Series 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, chunks, LZ Algorithms, time Partitioning, downsampling and refresh. Those tools come from the TimescaleDB program itself, delivered on site over 5 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 efficiently store temporal data in enterprise environments, develop optimized queries on massive time series volumes and implement compression and continuous aggregates for professional-grade performance. 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: Installation and Hypertables for Time Series Data (PostgreSQL, Chunks). Day 2: TimescaleDB: Compression and Retention Policies (LZ Algorithms, Time Partitioning). Day 3: TimescaleDB: Continuous Aggregates and Materialized Views (Downsampling, Refresh). Day 4: TimescaleDB: API Integration and Horizontal Scaling (Kafka, RabbitMQ, Multi-Node). Day 5: TimescaleDB: Advanced Optimization and Monitoring (GIN Indexes, pg_stat, Alerting). The TimescaleDB program runs over 5 days, delivered on site.
How is TimescaleDB training assessed?+
Assessment relies on technical MCQ on TimescaleDB and its advanced features, continuous assessment through practical exercises and benchmarks and defense of the red thread hypertable project in an enterprise context. 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 $5,775 per participant. For an in-company team, the flat rate starts at $10,395 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?+
5 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, basic 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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