Book Image

Learning AWS IoT

By : Agus Kurniawan
Book Image

Learning AWS IoT

By: Agus Kurniawan

Overview of this book

The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console. This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases. Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects.
Table of Contents (14 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Introducing brief data visualization


Data visualization is designed to present data in a graphical style. We can obtain more insight data from the data visualization result. For instance, we have temperature data from sensor measurements, as depicted in the following table. Sensor Data-Temperature is a value from the temperature sensor device:

No

Sensor Data-Temperature

1

20

2

21

3

22

4

23

5

24

6

24

7

25

8

25

9

26

10

27

11

28

12

27

13

27

14

26

15

24

16

23

17

22

18

21

19

20

20

19

We can see the temperature value at a certain hour. From this data, we can visualize the graph, as shown in the following image:

Comparing visualizing data in the table to the graph seems to show that we can get more insight if we present our data in the form of graphs. In this chapter, we will focus on how to visualize sensor data in a graphical format.