The Data Flow Map
Apress (Verlag)
979-8-8688-1882-0 (ISBN)
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Unlock the secrets of effective data analysis with a framework 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 in spreadsheets, databases, or AI models, you'll learn to elevate your analytical skills, tell compelling stories, and align your team for smarter decisions.
In today s data-rich world, clarity is the real challenge. The framework simplifies complexity into three core motions source, focus, build along with the section tagging action. The first half lays out these concepts with illustrations and stories; the second half applies them to real data using tools like Python, SQL, and Excel.
With practical examples and hands-on applications, this book offers a universal mental model for data analysis. It empowers analysts at any level to approach data with confidence, precision, and insight. It s not just a method it s a transformation in how you work with data.
What You Will Learn
- Grasp essential elements applicable to every data analysis
- Adapt quickly to any dataset or tool
- Master analytic thinking at a higher level
- Understand how analytics patterns are universal and key to understanding our world
- Break analysis into manageable chunks
- Iterate more quickly to find better solutions
Who This Book Is For
Aspiring data professionals and experienced analysts, from beginners to seasoned data engineers, focused on data collection, analysis, and decision making
Nick Ryberg has developed analytics across platforms, from Microsoft Excel and Access to more complex systems such as Postgres, Hadoop, and Spark SQL. Whether working on personal computers, Linux servers, mainframes, or even a Raspberry Pi, Nick thrives with a keyboard and a table or two of data. As tools have improved, becoming more user-friendly and capable of handling larger datasets, Nick has observed that how we think and share our processes hasn’t evolved much. At best, it's a messy whiteboard with bubbles and arrows; at worst, it's raw code left behind by a developer who departed years ago. Throughout Nick's career, the focus has been on solving challenging analytic problems using these tools. The most complex problems encountered aren't related to sourcing, cleaning data, or mastering specific tools. Instead, the most difficult aspects involve thinking differently about solutions, sharing and brainstorming ideas, switching platforms, and documenting processes for future users.
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.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Apress Pocket Guides |
| Zusatzinfo | 167 Illustrations, black and white |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Schlagworte | Analysis • Analytics • Cross-boundary analytics • Cross Platform • Data • documentation • Excel • Framework • Methodology • Python • Query • SQL • SQL query • TABCO |
| ISBN-13 | 979-8-8688-1882-0 / 9798868818820 |
| Zustand | Neuware |
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