PostgreSQL

2 weeks

Live Course

Your Instructor

Sahil Goyal

Course Overview

This course provides a comprehensive introduction to managing IoT data using PostgreSQL, focusing on efficient storage, processing, and real-time analytics. Participants will explore the fundamental features of PostgreSQL and understand the unique challenges presented by IoT data, including its volume, velocity, and variety. The course covers best practices for database schema design tailored for IoT environments, emphasizing entity-relationship modeling and techniques for balancing normalization and denormalization.

Students will dive into time-series data management, learning how to leverage TimescaleDB and optimize queries for high-performance analytics. The course also introduces advanced concepts such as Complex Event Processing (CEP), Change Data Capture (CDC), and materialized views to support real-time data processing. Additionally, it covers strategies for optimizing database structure, including indexing, partitioning, and compression, to ensure scalable and efficient data storage.

Through real-world case studies and practical examples, learners will gain hands-on experience in designing and managing PostgreSQL databases tailored to the demands of IoT applications, preparing them to implement effective solutions for handling large-scale, streaming IoT data.

What you'll get out of this course

Gain a strong foundation in PostgreSQL, its key features, and the unique characteristics and challenges of managing IoT data effectively.

Learn how to model and structure databases for IoT applications using entity-relationship modeling, normalization, denormalization, and practical schema design techniques.

Explore time-series data handling using PostgreSQL and TimescaleDB, optimize queries, and implement real-time processing with techniques like windowing, aggregation, and materialized views.

Understand and apply Change Data Capture (CDC) in PostgreSQL for real-time analytics, and optimize database structure with indexing strategies and performance-enhancing extensions.

Develop effective storage strategies using data partitioning, compression, and archiving, while exploring real-world case studies and applying best practices for managing IoT data with PostgreSQL.

Course content

Week 1

4 items

4 lectures

Your Instructor

Sahil Goyal

No additional information available about this instructor at the moment.

Frequently Asked Questions

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