Edge-to-cloud data pipeline in IOT Protocols - Step-by-Step Execution

Process Flow - Edge-to-cloud data pipeline

Data generated at Edge Device

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Edge Processing: Filter/Transform

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Send data via IoT Protocol (MQTT/HTTP)

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Cloud Ingestion Service receives data

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Cloud Storage & Processing

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Data available for Analytics/Apps

Data flows from edge devices through processing and IoT protocols to cloud services for storage and analysis.

Execution Sample

IOT Protocols

edge_data = {'temp': 22, 'humidity': 55}
processed_data = {k: v for k, v in edge_data.items() if v > 20}
publish('cloud/topic', processed_data)

Edge device filters sensor data and publishes it to the cloud topic.

Process Table

Step	Action	Data State	Result
1	Generate raw data at edge	{'temp': 22, 'humidity': 55}	Raw sensor data ready
2	Filter data values > 20	{'temp': 22, 'humidity': 55}	{'temp': 22, 'humidity': 55} (both > 20)
3	Publish filtered data to cloud topic	{'temp': 22, 'humidity': 55}	Data sent via MQTT to cloud/topic
4	Cloud receives data	N/A	Data stored in cloud database
5	Cloud processes data	N/A	Data ready for analytics
6	End	N/A	Pipeline complete

💡 All data processed and sent from edge to cloud successfully

Status Tracker

Variable	Start	After Step 1	After Step 2	After Step 3	Final
edge_data	{}	{'temp': 22, 'humidity': 55}	{'temp': 22, 'humidity': 55}	{'temp': 22, 'humidity': 55}	{'temp': 22, 'humidity': 55}
processed_data	{}	{}	{'temp': 22, 'humidity': 55}	{'temp': 22, 'humidity': 55}	{'temp': 22, 'humidity': 55}

Key Moments - 3 Insights

Why do we filter data at the edge before sending it to the cloud?

Filtering at the edge reduces data volume sent over the network, saving bandwidth and cloud processing, as shown in step 2 of the execution_table.

How does the data get from the edge device to the cloud?

Data is sent using an IoT protocol like MQTT, as shown in step 3 where data is published to the cloud/topic.

What happens after the cloud receives the data?

The cloud stores and processes the data for analytics or applications, as shown in steps 4 and 5.

Visual Quiz - 3 Questions

Look at the execution_table, what is the content of processed_data after step 2?

A {}

B {'temp': 22, 'humidity': 55}

C {'temp': 22}

D {'humidity': 55}

💡 Hint

Check the 'Data State' column at step 2 in the execution_table.

At which step does the cloud first receive the data?

A Step 4

B Step 2

C Step 3

D Step 5

💡 Hint

Look for the step where the action is 'Cloud receives data' in the execution_table.

If the edge device filtered out all data below 50, what would processed_data be after step 2?

A {}

B {'temp': 22, 'humidity': 55}

C {'humidity': 55}

D {'temp': 22}

💡 Hint

Consider which values are greater than 50 in the original edge_data from variable_tracker.

Concept Snapshot

Edge-to-cloud data pipeline:
1. Data generated at edge devices.
2. Edge filters/transforms data to reduce volume.
3. Data sent via IoT protocols (e.g., MQTT) to cloud.
4. Cloud ingests, stores, and processes data.
5. Processed data used for analytics or apps.

Full Transcript

This visual execution shows how data flows from an edge device to the cloud in a pipeline. First, the edge device generates raw sensor data. Then it filters the data to keep only values above 20. Next, it publishes this filtered data to a cloud topic using MQTT. The cloud receives the data, stores it, and processes it for analytics. Variables like edge_data and processed_data track the data state at each step. Key moments clarify why filtering happens at the edge and how data moves to the cloud. The quiz tests understanding of data states and pipeline steps.