Svetlana Karslioglu is the author of Reproducible Data Science with Pachyderm; we got the chance to sit down with her and find out more about her experience of writing with Packt.
Q: What are your specialist tech areas?
Svetlana: Cloud Infrastructure
Q: How did you become an author for Packt? Tell us about your journey. What was your motivation for writing this book?
Svetlana: A Packt representative reached out me based on my experience working at Pachyderm and especially because of my talk on reproducible data science. I was excited about the opportunity to write this book to help promote Pachyderm as a solution for the reproducibility problem in data science.
Q: What kind of research did you do, and how long did you spend researching before beginning the book?
Svetlana: The best way to explain something to audience is to show usage examples. I had to come up with examples of Pachyderm usage for various data science techniques and how they translate into Pachyderm pipelines.
Q: Did you face any challenges during the writing process? How did you overcome them?
Svetlana: Lack of time is the biggest challenge. I had to spend many weekends working on the book.
Q: What’s your take on the technologies discussed in the book? Where do you see these technologies heading in the future?
Svetlana: Pachyderm is truly a unique solution available out there. As it grows and becomes more mature, it has a potential to become one of the leading platforms for data engineering teams.
Q: Why should readers choose this book over others already on the market? How would you differentiate your book from its competition?
Svetlana: I don’t believe there are other books about Pachyderm on the market. And I don’t believe there are other solutions that provide such wide range of functionality as Pachyderm at the moment.
Q: What are the key takeaways you want readers to come away with from the book?
Svetlana: The key takeaway is no matter what type of data science you are doing, you need to make sure you preserve data lineage. Pachyderm helps you to build an end-to-end reproducible workflow.
Q. What advice would you give to readers learning tech? Do you have any top tips?
Svetlana: Never stop learning!
Q. Do you have a blog that readers can follow?
Svetlana: I don’t
Q. Can you share any blogs, websites and forums to help readers gain a holistic view of the tech they are learning?
Towards Data Science – https://towardsdatascience.com/
Q. How would you describe your author journey with Packt? Would you recommend Packt to aspiring authors?
Svetlana: It was a pleasant experience to work with the Packt team. I would definitely recommend new authors to work with Packt.
Q. What are your favorite tech journals? How do you keep yourself up to date on tech?
Svetlana: Towards Data Science, Medium.
Q. How did you organize, plan, and prioritize your work and write the book?
Svetlana: Worked on the weekends and after hours.
Q. What is that one writing tip that you found most crucial and would like to share with aspiring authors?
Svetlana: You can do it!
You can find Svetlana‘s book on Amazon by following this link : Please click here