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Introduction | The Analytics Setup Guidebook

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In today’s business world, everyone needs analytics. Analytics powers and informs most decision making in organizations, from sales, marketing, partnership to product and engineering. Running a business without analytics is like driving in a foreign country without GPS. Yet most companies fumble when starting to build their analytics stack. Many of them either spend too much time building a system that’s unnecessarily complicated, or spend too little time building a system that doesn’t work well. This is understandable. When starting out, most companies don’t have an experienced data engineer or architect to help them build things the right way. So they attempt to do it themselves; when they do their research online, they get lost in a sea of ‘Big Data’ fads, marketing jargon, and worse. The questions: sound simple, but are actually difficult to answer if you’re looking in the wrong places. Our hope is that this book will help you answer the above questions. This book aims to: This boo

Introduction | The Analytics Setup Guidebook The Analytics Setup Guidebook Download Book Book content Chapter 1. High-level Overview of an Analytics Setup Start here - Introduction A Simple Setup for People Just Starting Out A Modern Analytics Stack Our Biases of a Good Analytics Stack Chapter 2. Centralizing Data Consolidating Data from Sources Systems Understanding The Data Warehouse ELT vs ETL: What's The Big Deal? Transforming Data in the ELT paradigm Chapter 3. Data Modeling for Analytics Data Modeling Layer and Concepts Kimball's Dimensional Data Modeling Modeling Example: A Real-world U

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