Data Pipelines Pocket Reference: Moving and Processing Data for Analytics (Grayscale Indian Edition)

This is really concise and practical . Contains both theory and code to get your hands dirty. It also gives a survey of open source and company based closed source tool. While it’s a good first step it is not the final step towards writing production pipelines. Good intro to start developing and understand

This book provides a great introduction to the various steps associated with building data pipelines. If you’re new to data engineering or want to underatand the high level steps associated with building data pipelines, this book acts as a great reference point

This book will help you to understand what exactly you need to do as Data engineer for working on Big data environment.what is your role and responsibility u need to do as Data Engineer and what all things to be done daily basis as part of your development activity.

All the examples are relevant, easy to relate and understand. The books touches all topics with enough coverage to actually have it as a quick reference. Different frameworks for data ingestion(extraction and loading) and transformation in modern data infrastructure. Python scripts are provided and different approaches.

Easy to read with great code examples. Really liked the less verbose and more practical approach. Highly recommended for anyone looking to pursue data engineering.

Quick and to the point reference. As claimed, it is a pocket reference for data pipelines.

Great book on effectively designing data pipelines. All aspects are well covered with sample codes.

Book really good as a pocket reference given key aspects mentioned there. Though yet to complete full book.

Really breaks things down in a simple way. I didn’t know anything about pipelines and it is really enjoyable to learn about through this book. The size made it even more convenient to take places. Great read

Me sorprendió la facilidad con la que he ido leyendo y aprendiendo con este libro de bolsillo. Pensé que era un manualillo sin chiste, pero no, en verdad que está muy bueno para aprender rápido y de forma concisa los conceptos fundamentales de Ingeniería de Datos.

O livro se destina a fazer uma revisão dos principais conceitos/práticas no desenvolvimento de uma boa pipeline de dados. É uma referência (não uma Bíblia e/ou step-by-step).Leitura bem leve e com exercícios práticos (não destinados para ambientes de Produção em alguns dos exemplos). Mas vale a compra.

Great

This is the best technical book I have read in a while. If you are working in data engineering, analysis or related fields you should buy this book right now, and if you are a team leader you should get the book for your team members.This is an invaluable reference for all kinds of common problems and tasks that you'll encounter daily that you will refer for years to come.The practical pocket size is fantastic if you want to put it in your bag and carry it around everywhere, but it's also an advantage over bigger books in that it needs to be clear and concise as it doesn't have any room for "filler".