Why it worked
The video uses relatable stereotypes about different engineering roles to create humor and engagement. By presenting these common perceptions in a lighthearted way, it encourages viewers to share, comment, and relate to the content, driving organic reach.
Summary
The video humorously stereotypes different engineering roles, suggesting backend engineers read documentation, frontend engineers guess CSS, mobile engineers work in Xcode, data engineers build pipelines, data scientists clean data, and crypto engineers talk about crypto. The creator uses visual aids and playful commentary to illustrate these stereotypes.
Structure
- 1Introduction: What I think you do based on your eng role
- 2Backend Engineer: Reading documentation and APIs
- 3Frontend Engineer: Guessing and checking CSS/JavaScript
- 4Mobile Engineer: Messing around in iOS/Xcode/Android Studio
- 5Data Engineer: Building pipelines
- 6Data Scientist: Cleaning data
- 7Crypto Engineer: Talking about crypto
On-screen text
What I think you do based on your eng role
EXPANDING RESPONSES
CHARGE WITH EXPANDED CUSTOMER, INVOICE, AND SUBSCRIPTION
Select library
curl https://api.stripe.com/v1/charges/ch_3jaRTQ2evKYlo2C175az0R8 -u sk_test_4eC39HqLyJWdarjtT1zdp7dc
: \ -d "expand[]"="customer" \
-d "expand[]"="invoice.subscription" \
-G
RESPONSE
{
"id": "ch_3jaRTQ2evKYlo2C175az0R8",
"object": "charge",
"customer": "",
"invoice": {
"id": "cu_18NVYd2evKYlo2CLPFwy",
"object": "customer"
},
"id": "in_1jaRTQ2evKYlo2CymXoCCvj"
}
Idempotent Requests
The API supports idempotency for safely retrying requests without accidentally performing the same
CSS Examples
Inspect Me!
Value of auto-message!
Add A Background Color To Me!
Value of padding:
Add A Class To Me!
Turn This On Me!
Change My Margin!
Big Data Pipelines on AWS, Azure, and Google Cloud
scgupta.link/big-data-pipeline
AWS IoT
Lambda Function
Kinesis
Data Firehose
Glacier
S3
Glue ETL
Kinesis
Analytics
AWS
EMR
SageMaker
RedShift
RDS
EC2
SageMaker
Studio (MDA)
Elastic
Search
DynamoDB
Glue
Kinesis
Catalog
Stream
Lambda
Function
Sight
Ingestion
Data Labs
Preparation & Computation
Data Warehouse
Data Cleaning Techniques