The Data Flow Map : A Practical Guide to Clear and Creative Analytics in Any Data Environment / by Nick Ryberg.

Format:

Book

Author/Creator:

Ryberg, Nick.

Series:

Apress Pocket Guides, 3004-9288

Language:

English

Subjects (All):

Data flow computing.

Quantitative research.

Physical Description:

1 online resource (164 pages)

Edition:

1st ed. 2025.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2025.

Summary:

Unlock the secrets of practical data analysis with the Data Flow Map framework—a game-changing approach that transcends tools and platforms. This book isn’t just another programming manual; it’s a guide to thinking and communicating about data at a higher level. Whether you're working with spreadsheets, databases, or AI-driven models, you'll learn how to express your analytics in clear, common language that anyone can understand. In today’s data-rich world, clarity is the real challenge. Technical details often obscure insights that could drive real impact. The Data Flow Map framework simplifies complexity into three core motions: source, focus, and build. The first half of the book explores these concepts through illustrations and stories. The second half applies them to real-world datasets using tools like Excel, SQL, and Python, demonstrating how this approach adapts seamlessly across platforms and use cases. A vital resource for analysts at any level, this book offers a practical, tool-agnostic approach to data analysis. With hands-on examples and a universal mental model, you’ll gain the confidence to tackle any dataset, align your team, and deliver insights that matter. Whether you're a beginner or a seasoned pro, the Data Flow Map framework will transform how you approach data analytics. What You Will Learn Grasp essential elements applicable to every data analysis workflow Adapt quickly to any dataset, tool, or platform Master analytic thinking at a higher level Use analytics patterns to better understand the world Break complex analysis into manageable, repeatable steps Iterate faster to uncover deeper insights and better solutions Communicate findings clearly for better decision-making.

Contents:

Chapter 1: Introduction

Chapter 2: Framework Overview

Chapter 3: Data Flow Map Deep Dive

Chapter 4: Examples - Files

Chapter 5: Examples - Databases

Chapter 6: Examples - Python

Chapter 7: Examples - APIs

Chapter 8: Platforms

Chapter 9: Pipelines

Chapter 10: Analog Side of Analytics

Appendix A: Sample Data Sourcing.

Notes:

Description based upon print version of record.

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6881-883-7

OCLC:

1568046489