Data Sources

🏞 Analogy

The starting point of your data journey - like different rivers flowing into a lake

Problems Solved

Data accessibility and connectivity
API integration challenges
Data format standardization

Understanding Data Sources

Types of Data Sources

Databases

SQL and NoSQL databases for structured and unstructured data

Examples: PostgreSQL, MongoDB, Cassandra, Redis

APIs

REST and GraphQL interfaces for real-time data access

Examples: Twitter API, Stripe API, Salesforce API

File Systems

Structured and semi-structured files in various formats

Examples: CSV, JSON, Parquet, Avro

Streaming Sources

Real-time event streams and message queues

Examples: Kafka, Kinesis, Pub/Sub

Recommended Tools

Tools for working with different data sources:

PostgreSQL

Use case: Application databases, ACID compliance

Relational Database

When to use: Application databases, ACID compliance

MySQL

Use case: Web applications, high performance

Relational Database

When to use: Web applications, high performance

MongoDB

Use case: Flexible schemas, unstructured data

NoSQL Database

When to use: Flexible schemas, unstructured data

Salesforce

Use case: Customer analytics, sales data

CRM SaaS

When to use: Customer analytics, sales data

Google Analytics

Use case: Marketing analytics, user behavior

Web Analytics Analytics

When to use: Marketing analytics, user behavior