Make awesome analysis and reports.
A hands-on book guiding you through the process of creating your own PySpark analysis and reports.
A hands-on book guiding you through the process of creating your own PySpark analysis and reports.
"PySpark for Analysts" is a practical guide to use in your daily work analyzing big data problems with PySpark, making it accessible to anyone.
PySpark and big data often seems overwhelming and expensive to dive into, I used to think working with these concepts required vastly expertise and would be an expensive journey.
However, this is not entirely correct.
In "PySpark for Aanlysts," you'll learn how to setup your own environment through Docker. While this isn't enough to work with real big data, it's enough to get started with the concepts and become a master in PySpark and analysis.
By the book's conclusion, you'll possess the knowledge and confidence to dive into big data analytics with PySpark, crafting insightful, scalable data solutions that stand strong in the world of complex real-world challenges.
A hands-on PDF containing practical examples and re-usable code easy to implement.
This book encapsulates what I have learned from working with PySpark, streamlined into easily approached chapters.
Each chapter is crafted to stand alone, allowing for flexible reading sequences. Whether you choose to delve into specific topics or consume the book in one sitting, you’ll have no trouble getting through it in just a couple of hours.
I dislike books that repeat the same ideas over and over just to fill out the page count. This book is written to help you fast-forward in solving real problems.
Enter your email address and I’ll send you a sample from the book containing two of my favorite chapters.
Emil Moe – Hey there, I’m the author behind ‘PySpark for Aanlysts’.
I’ve been working with PySpark professionally for years, processing a lot of big data for insightful analytics and scalable solutions. My experience spans a broad spectrum of projects and challenges, allowing me to refine my methods to explore the vast potential of PySpark. This book summarizes my experience, offering readers the essence of what I've learned and practiced in the realm of big data processing and analysis.