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Hands-on ESP32 with Arduino IDE

You're reading from   Hands-on ESP32 with Arduino IDE Unleash the power of IoT with ESP32 and build exciting projects with this practical guide

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837638031
Length 294 pages
Edition 1st Edition
Tools
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Author (1):
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Asim Zulfiqar Asim Zulfiqar
Author Profile Icon Asim Zulfiqar
Asim Zulfiqar
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Table of Contents (15) Chapters Close

Preface 1. Part 1 – Introduction: Getting Familiar with ESP32
2. Chapter 1: IoT with ESP32 using Arduino IDE FREE CHAPTER 3. Chapter 2: Connecting Sensors and Actuators with ESP32 4. Chapter 3: Interfacing Cameras and Displays with ESP32 5. Part 2 – IoT Protocols and ESP32
6. Chapter 4: Implementing Network-Based Protocols with ESP32 7. Chapter 5: Choosing the Right Data-Based Protocols for Your ESP32 Projects 8. Part 3 – Practical Implementation
9. Chapter 6: Project 1 – Smart Plant Monitoring System Using ESP32, Messaging Services, and the Twitter API 10. Chapter 7: Project 2 – Rent Out Your Parking Space 11. Chapter 8: Project 3 – Logging, Monitoring, and Controlling using ESP32 12. Chapter 9: From Arduino IDE to Advanced IoT Development – Taking the Next Steps 13. Index 14. Other Books You May Enjoy

Setting up InfluxDB Cloud and logging the data

InfluxDB is a high-performance, open source time series database designed for efficiently storing and querying timestamped data. It is particularly well suited for applications that collect and analyze data that changes over time, such as sensor readings, application metrics, and system monitoring data.

Time series data is a type of data where each data point is associated with a specific timestamp. It is used to record changes or measurements over time, making it ideal for tracking trends, patterns, and historical data. In time series data, time is a critical dimension, and the data points are typically sorted in chronological order.

For example, let’s consider a DHT sensor that measures temperature and humidity. The sensor records readings at regular intervals and stores them with timestamps. Here’s a simplified representation of time series data from a DHT sensor:

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