Training TimescaleDB 2026 - Optimizing Massive Time-Series Data

Very demanding course · Expertise required

$7,875

  • 5 days
  • Onsite
  • 10 people max.
Ref: YVM381
10 people max.
$7,875
In-company rate: from $14,175 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of TimescaleDB 2026, your time-series databases explode in costs: up to 5x more storage without auto compression, with queries taking 10s instead of ms on growing IoT volumes at 1 To/jour.

  • Companies lose 20-30% ROI on real-time analytics, leading to bad decisions and customer losses estimated at 1M€/an according to Gartner.

  • Your career stalls against versatile data engineers, risking obsolescence in 2 ans in a hyper-growing Big Data market.

  • Invest now to scale without limits and dominate critical projects.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

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

41,258 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

TimescaleDB training objectives

  • Master advanced hypertables in TimescaleDB 2026 for managing massive time-series data volumes
  • Develop automated retention and compression policies to optimize enterprise storage and performance
  • Design continuous aggregates for ultra-high-performance real-time analytics
  • Implement advanced jobs and custom triggers
  • Optimize spatial and multi-node queries for scalable projects
  • Deploy TimescaleDB 2026 in production with high availability and expert monitoring

Program

TimescaleDB curriculum: 5 modules over 5 days

Module 1 : TimescaleDB 2026 Hypertables: Expert Creation and Management (chunks, policies, advanced partitioning)

Dive into creating optimized hypertables for terabytes of time-series data, configure intelligent chunks with multi-dimensional partitioning strategies, implement automated compression policies to reduce storage costs by 90%, perform practical exercises on real IoT datasets, test scalability by simulating high-frequency data streams, and produce a first deliverable: a performant hypertable schema with benchmark metrics.

Module 2 : TimescaleDB 2026: Continuous Aggregates and Materialized Views (real-time queries, refresh policies)

Explore next-generation continuous aggregates for latency-free real-time dashboards, configure adaptive refresh policies based on usage, integrate custom UDFs for complex aggregations, apply to real-world massive application logs, optimize performance with hints and advanced GIN indexes, conduct hands-on workshops to validate scalable materialized views, and generate a measurable optimization report.

Module 3 : TimescaleDB 2026 Jobs and Triggers: Expert Automation (scheduling, data retention, alerting)

Master advanced jobs for automating recurring tasks like selective retention and incremental backups, deploy custom triggers for real-time event-driven workflows, integrate Slack/Email notifications via pg_cron extensions, simulate maintenance scenarios on distributed clusters, test resilience with simulated downtimes, conduct collaborative exercises for automated ETL pipelines, and deliver a complete job script with integrated monitoring.

Module 4 : TimescaleDB 2026 Query Optimization: Spatial and Multi-Node (hypercore, sharding, PostGIS)

Optimize spatial queries with the PostGIS-Timescale extension for geolocation use cases, configure multi-node hypercore for infinite horizontal scalability, analyze EXPLAIN plans focusing on time_bucket and gapfill, apply intelligent sharding techniques to global datasets, run comparative benchmarks vs. Cassandra/InfluxDB, practice on real DevOps cases with Grafana, and produce a query optimization guide with quantified performance gains.

Module 5 : TimescaleDB 2026 Production Deployment: HA, Monitoring, and Security (Kubernetes, Patroni, pgBadger)

Deploy in production with high availability using Patroni and dedicated Kubernetes operators, integrate advanced monitoring with Prometheus and pgBadger for proactive alerts, secure access with row-level security and at-rest encryption, simulate live failovers and recoveries, configure WAL-E backups for zero RPO, complete with a capstone project on a multi-AZ cluster, and earn certification with an enterprise-ready portfolio of deliverables.

How TimescaleDB skills are assessed

  • Daily technical quizzes on expert concepts
  • Practical pair project with source code and benchmarks
  • Final certifying exam with real-world cases and advanced multiple-choice questions

How the TimescaleDB course is taught

  • Project-based methodology inspired by real industrial production scenarios
  • 70% hands-on exercises on dedicated environments
  • Case studies from Fortune 500 companies using TimescaleDB
  • 3-month post-training support with lab access and coaching

TimescaleDB training: access and practical arrangements

The Training TimescaleDB 2026 - Optimizing 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 2026 - Optimizing 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 2026 - Optimizing 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.

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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 2026 training?+
Hands-on work runs on chunks, policies, advanced partitioning, real-time queries, refresh policies and scheduling. Those tools come from the TimescaleDB 2026 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 2026 training?+
They can master advanced hypertables in TimescaleDB 2026 for managing massive time-series data volumes, develop automated retention and compression policies to optimize enterprise storage and performance and design continuous aggregates for ultra-high-performance real-time analytics. Those are the stated objectives of the TimescaleDB 2026 program at Expert level, checked by the end-of-session assessment.
What does the TimescaleDB 2026 program cover, day by day?+
Day 1: TimescaleDB 2026 Hypertables: Expert Creation and Management (chunks, policies, advanced partitioning). Day 2: TimescaleDB 2026: Continuous Aggregates and Materialized Views (real-time queries, refresh policies). Day 3: TimescaleDB 2026 Jobs and Triggers: Expert Automation (scheduling, data retention, alerting). Day 4: TimescaleDB 2026 Query Optimization: Spatial and Multi-Node (hypercore, sharding, PostGIS). Day 5: TimescaleDB 2026 Production Deployment: HA, Monitoring, and Security (Kubernetes, Patroni, pgBadger). The TimescaleDB 2026 program runs over 5 days, delivered on site.
How is TimescaleDB 2026 training assessed?+
Assessment relies on daily technical quizzes on expert concepts, practical pair project with source code and benchmarks and final certifying exam with real-world cases and advanced multiple-choice questions. Learni issues a completion certificate together with the individual assessment report at the end of the TimescaleDB 2026 program, which an L&D team can file as evidence.
How much does TimescaleDB 2026 training cost per participant?+
TimescaleDB 2026 training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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 2026 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 2026 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 2026 training?+
Expert mastery of PostgreSQL, advanced SQL, partitioning, data compression, and complex query optimization.
Is a certificate issued after TimescaleDB 2026 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.
Does Learni provide the equipment for TimescaleDB 2026 training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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