Coming Soon

Tracking plan for an e-commerce service like Amazon.

Amazon Type

Pragun's Data Handbook

A collection of design principles, strategies and frameworks to help you build data infrastructure and set up data teams.

Hello World

Building Data Teams and Infrastructure

Data Platform

Data Warehouse

ETL, ELT and Reverse ETL

Product Analytics

Business Intelligence

Data Science & ML

Data Catalog

A basic orientation for those who are new to the world of data and analytics using a fictional startup called "Jaffle Shop"

Introduction

MVP & Pre-Seed

Seed Stage

Series A

Series B

Series C and Beyond

Warehouse Layers

Table Names

Column Names

Source Data

Staging Layer

Snapshots

Dimension Tables

Fact Tables

Conclusion

Analytics Event Design

Tracking plan for a video streaming service like Netflix.

Netflix Type

A step-by-step guide to help you set up your data infrastructure from scratch.

Starters Guide

Data warehouse tools help you store large volumes of data from various sources and run complex queries on it.

Data ingestion tools help you collect data from various sources and load it into your data warehouse.

Data Ingestion

Data modeling tools help you manage your data models and schemas.

Data Modeling

Tools for scheduling and managing data pipelines.

Orchestration

Tools for visualizing and analyzing data.

Tools for tracking user behavior and product performance.

Consumer data platforms help you collect, unify, and activate customer data from various sources.

Consumer Data Platform

Reverse ETL tools help you sync data from your data warehouse back to your operational databases and SaaS tools.

Product Analytics

Tracking Plans

​Coming Soon

Coming Soon