From 90435d8ab737466c1f5446429cd0fae62aa69812 Mon Sep 17 00:00:00 2001
From: tejaswini <tejaswini@lynkeduppro.com>
Date: Thu, 9 Oct 2025 06:46:19 +0000
Subject: [PATCH] =?UTF-8?q?Day=201=20=E2=80=94=20Setup=20and=20Data=20Inge?=
 =?UTF-8?q?stion=5Fupdated?=
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Day 1 — Setup and Data Ingestion_updated
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 Day_001_Setup_and_Data_Ingestion.md | 75 ++++++++++++++---------------
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diff --git a/Day_001_Setup_and_Data_Ingestion.md b/Day_001_Setup_and_Data_Ingestion.md
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--- a/Day_001_Setup_and_Data_Ingestion.md
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 # 📅 Day 1 — Setup and Data Ingestion
 
 ## 🎯 Goal
-Establish the foundation for the project.  
-The primary objective is to create an **n8n workflow** that successfully fetches raw **sales** and **product review data** from their respective sources.
+Establish the foundation of the project.  
+Create an **n8n workflow** that successfully fetches raw sales and product review data from their respective sources.
 
-----
+---
 
 ## 🧩 Tasks
 
 ### 1. Environment Setup
-- Set up your **n8n instance**:
-  - Options: n8n Cloud, Docker, or local installation.
-  - Reference: [https://docs.n8n.io/hosting/](https://docs.n8n.io/hosting/)
-- Create a **Python environment**.
-  - Install necessary libraries:
-    ```bash
-    pip install pandas nltk
-    ```
+- Get your **n8n instance** running (n8n Cloud, Docker, or local install).  
+- Set up a **Python environment**:
+  ```bash
+  pip install pandas nltk
+2. Create a New n8n Workflow
+Start with a Manual Trigger node (Start).
 
----
+This will be replaced with an automated schedule on Day 5.
 
-### 2. Create a New n8n Workflow
-- Start with a **Manual Trigger** node (`Start`).
-- This will later be replaced with an automated schedule on **Day 5**.
+3. Fetch Sales Data
+Add an HTTP Request node (or Database node like PostgreSQL).
 
----
+Connect to your e-commerce platform’s API (e.g., Shopify /orders.json).
 
-### 3. Fetch Sales Data
-- Add an **HTTP Request** or **Database Node (PostgreSQL/MySQL)**.
-- Connect to your e-commerce API endpoint (e.g., Shopify → `/orders.json`).
-- Set up credentials (API Key, OAuth2, etc.).
-- Test and verify that recent order data (e.g., order_id, product_id, price, quantity) is fetched successfully.
+Set up authentication (API Key, OAuth2, etc.).
 
----
+Test the node to ensure it pulls recent orders.
 
-### 4. Fetch Product Reviews
-- Add another **HTTP Request** node.
-- Configure it to pull recent **product reviews** (e.g., review_text, rating).
-- Test independently to ensure successful data retrieval.
+4. Fetch Product Reviews
+Add another HTTP Request node.
 
----
+Connect to your website API or third-party service to fetch reviews.
 
-### 5. Combine Data Streams
-- Add a **Merge Node**.
-- Connect both sales and review nodes.
-- Set **Mode** → `Combine`.
-- This ensures both data sets are merged and available for the next phase.
+Test independently to ensure data retrieval.
 
----
+5. Combine Data Streams
+Add a Merge node.
 
-## ✅ Deliverable
-A manually triggered **n8n workflow** that:
-- Pulls raw data from **two sources** (sales + reviews).
-- Combines them using a **Merge node**.
-- Outputs unified JSON data ready for analysis.
+Connect Sales Data and Review Data nodes.
 
+Set Mode → Combine.
+
+This ensures both data sets are available for the next step.
+
+✅ Deliverable
+A manually triggered n8n workflow that:
+
+Pulls raw data from two sources (sales + reviews).
+
+Merges the data into a single workflow run.
+
+💡 Solution
+Workflow successfully merges sales and review data.
+
+Outputs a combined JSON object, ready for Day 2 Python processing.
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