Marian Siwiak

Starting Data Analytics with Generative AI and Python

You’ll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines—all while developing an intuition about the risks and errors that still come with AI tools. In the end, you’ll be able to do significantly more work, do it faster, and get better results, without breaking a sweat.

Assuming only that you know the foundations, this friendly book guides you through the entire analysis process—from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level.

Getting Started with Data Mesh

Getting Started with Data Mesh features two chapters from Manning’s Data Mesh in Action, by expert data professionals Jacek Majchrzak, Sven Balnojan, and Marian Siwiak. Inside, you’ll discover what the data mesh architecture is, and its key concepts and advantages. You’ll get guidance from the experts on how data mesh stacks up against other data architectures and how your organization will benefit. With this small ebook, get the big data mesh picture and discover if this revolutionary data architecture is for you.

Data Mesh in Action

Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You’ll start by building a minimum viable data product, which you’ll expand into a self-service data platform, chapter-by-chapter. You’ll love the book’s unique “sliders” that adjust the mesh to meet your specific needs. You’ll also learn processes and leadership techniques that will change the way you and your colleagues think about data.