Learn to model, ingest, query, and visualize time-series data with TimescaleDB and Grafana through real-world projects.
Sub Category
- Database Design & Development
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Objectives
- Understand the fundamentals and importance of time-series data across industries.
- Set up and configure TimescaleDB on local, Docker, or cloud environments.
- Explain the architecture of TimescaleDB and how it extends PostgreSQL.
- Design efficient time-series data models using hypertables and chunks.
- Implement partitioning, indexing, and schema optimization for large datasets.
- Ingest time-series data from various sources — batch, streaming, or APIs.
- Write powerful SQL queries to analyze time-based trends and patterns.
- Compare query capabilities between TimescaleDB and InfluxDB.
- Apply data retention and compression techniques for efficient storage.
- Build real-time dashboards and alerts using Grafana and TimescaleDB.
- Utilize continuous aggregates for pre-computed analytics and reporting.
- Scale TimescaleDB for high-ingest workloads using multi-node architecture.
- Integrate TimescaleDB with Kafka, Airflow, Spark, and Prometheus.
- Implement security and access controls, encryption, and compliance practices.
- Optimize database performance and automate pipeline operations.
- Build and deploy a complete IoT Monitoring System using TimescaleDB and Grafana.
Pre Requisites
- Enthusiasm and determination to make your mark on the world!
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)