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TimescaleDB

Unlock Scalable Time-Series Analytics with TimescaleDB – Combine SQL Power with Time-Series Performance
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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TimescaleDB is an open-source time-series database built on PostgreSQL, engineered to deliver fast ingest and complex analytics on massive volumes of time-stamped data. This comprehensive online course will guide you through every aspect of using TimescaleDB for real-time monitoring, IoT applications, financial analysis, and more.
 
This course blends practical training with hands-on projects to help you store, query, and analyze time-series data using SQL. You’ll learn how TimescaleDB extends PostgreSQL with hypertables, compression, retention, continuous aggregates, and time-based partitioning—all using standard SQL.
 
Whether you're a PostgreSQL user stepping into time-series data, or a DevOps or IoT engineer seeking a production-ready time-series solution, this course will empower you to manage time-series workloads at scale with confidence.

What You Will Gain
 
By the end of this course, you will have built robust use cases such as:
  • A real-time DevOps monitoring solution using Grafana

  • An energy consumption dashboard with continuous aggregates

  • A financial tick data pipeline with automatic compression

You’ll also learn to:
  • Install and configure TimescaleDB

  • Create and manage hypertables for time-series efficiency

  • Query large-scale time-series data using advanced SQL

  • Set up retention policies and compression

  • Integrate with Grafana for dashboarding

  • Use PostgreSQL tooling with time-series enhancements


Who This Course Is For
 
This course is perfect for:
  • PostgreSQL users working with time-stamped data

  • DevOps and SREs building scalable monitoring solutions

  • Data engineers managing IoT or telemetry data

  • Finance analysts handling real-time pricing feeds

  • Anyone looking to scale SQL-based analytics on time-series workloads


How to Use This Course Effectively
  1. Start with PostgreSQL Basics – Revisit core SQL commands if needed

  2. Use SQL for Everything – Leverage TimescaleDB’s SQL-native design

  3. Build Hypertables Early – Practice time-based partitioning for performance

  4. Visualize Your Data – Connect TimescaleDB to Grafana for real-time insights

  5. Implement Retention and Compression – Keep storage under control

  6. Experiment with Continuous Aggregates – Optimize repetitive queries

  7. Monitor with pg_stat_statements – Track query performance and usage


Why Learn TimescaleDB?
 
TimescaleDB combines the maturity and reliability of PostgreSQL with the scalability of a purpose-built time-series database. It offers fast ingest, rich SQL queries, and seamless integration with existing PostgreSQL tools. Used by companies in IoT, FinTech, DevOps, and industrial analytics, learning TimescaleDB prepares you for high-value roles in time-series analytics.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top

By the end of this course, you will be able to:

  • Install and configure TimescaleDB locally and in the cloud

  • Create hypertables to store time-series data efficiently

  • Use SQL to query time-series data with filters, grouping, and joins

  • Manage large datasets with retention and native compression

  • Create real-time dashboards using TimescaleDB + Grafana

  • Implement continuous aggregates to accelerate queries

  • Tune performance using indexes and analyze query execution plans

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to Time-Series and TimescaleDB

  • Time-Series vs Relational Data

  • What is TimescaleDB?

  • Use Cases and Benefits

Module 2: Installing TimescaleDB

  • Installation on Linux, Mac, Docker

  • Cloud Deployment on AWS/RDS

  • Integrating with Existing PostgreSQL Databases

Module 3: TimescaleDB Architecture and Concepts

  • Hypertables and Chunking

  • Partitioning by Time and Space

  • Comparison with PostgreSQL Native Tables

Module 4: Writing and Querying Data

  • Inserting and Updating Time-Series Data

  • Querying with SQL: filters, aggregates, time functions

  • Using Window Functions and Time Buckets

Module 5: Indexing, Retention, and Compression

  • Index Strategies for Time-Series

  • Creating Retention Policies

  • Native Compression for Storage Optimization

Module 6: Continuous Aggregates

  • Introduction to Materialized Views

  • Creating and Refreshing Continuous Aggregates

  • Performance Tuning for Aggregates

Module 7: Advanced SQL for Time-Series

  • Time-Bucket Join and Gap Filling

  • Anomaly Detection with SQL

  • Time Shifting and Time Zone Adjustments

Module 8: Visualizing with Grafana

  • Connecting TimescaleDB to Grafana

  • Building Time-Series Dashboards

  • Alerting and Thresholds

Module 9: Maintenance and Monitoring

  • Analyzing Query Plans with EXPLAIN

  • Using pg_stat_statements

  • Backups, Security, and Scaling

Module 10: Projects and Capstone Exercises

  • Energy Usage Tracker

  • DevOps Metrics Dashboard

  • Financial Market Data Monitor

Module 11: TimescaleDB Interview Questions & Answers

  • Architecture and Querying

  • Optimization and Scaling

  • Integration Scenarios

Certification Back to Top

Upon successful completion, learners will receive a Certificate of Completion from Uplatz that validates their proficiency in working with time-series data using TimescaleDB. The certification is ideal for professionals seeking roles in time-series analytics, PostgreSQL development, or data infrastructure engineering.

Career & Jobs Back to Top

With the rapid growth of real-time analytics in every industry, TimescaleDB is becoming a top choice for managing time-based data in a scalable way. This course prepares you for roles such as:

  • Time-Series Data Engineer

  • PostgreSQL Developer

  • DevOps Data Analyst

  • IoT Analytics Engineer

  • Infrastructure Monitoring Specialist

Interview Questions Back to Top
  1. What is TimescaleDB and how is it different from PostgreSQL?
    Answer: TimescaleDB is a time-series database built on PostgreSQL. It extends PostgreSQL with hypertables, time-based partitioning, compression, and continuous aggregates, enabling it to handle time-series data more efficiently than standard PostgreSQL tables.

  2. What is a hypertable in TimescaleDB?
    Answer: A hypertable is a logical abstraction of a time-series table, automatically partitioned into chunks based on time (and optionally space). It enables scalable inserts and fast queries over time-based data.

  3. How does TimescaleDB handle high-volume time-series inserts?
    Answer: TimescaleDB partitions data into smaller chunks using hypertables, allowing efficient storage and retrieval. It also uses indexes and background workers for query and insert optimization.

  4. What are continuous aggregates and how do they help?
    Answer: Continuous aggregates are materialized views that automatically refresh on a schedule. They reduce computation time by pre-aggregating commonly queried metrics (e.g., hourly averages).

  5. How is data retention managed in TimescaleDB?
    Answer: You can define retention policies to automatically drop old chunks of data after a specified time interval, saving storage and improving performance.

  6. What kind of compression does TimescaleDB offer?
    Answer: TimescaleDB provides native columnar compression for older data chunks. It reduces storage and improves query speed, especially on historical data.

  7. Can TimescaleDB be used with Grafana?
    Answer: Yes, Grafana can connect to TimescaleDB as a PostgreSQL source. It allows you to create rich visualizations and alerts for real-time and historical metrics.

  8. What is the time_bucket() function used for?
    Answer: The time_bucket() function groups time-series data into fixed-size intervals, enabling aggregation like average, sum, or count over consistent time windows (e.g., 10-minute buckets).

  9. How does TimescaleDB maintain SQL compatibility?
    Answer: TimescaleDB is a PostgreSQL extension, so all SQL features and tools available in PostgreSQL work seamlessly with TimescaleDB, including joins, indexes, triggers, and stored procedures.

  10. What are the advantages of TimescaleDB for IoT or DevOps monitoring?
    Answer: TimescaleDB offers high ingest speed, time-based queries, retention policies, and seamless visualization integration—making it ideal for storing and querying high-frequency time-stamped metrics.

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

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A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

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A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

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A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

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Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



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