Data Engineering with Python

Data Engineering with Python
Author :
Publisher : Packt Publishing Ltd
Total Pages : 357
Release :
ISBN-10 : 9781839212307
ISBN-13 : 1839212306
Rating : 4/5 (07 Downloads)

Book Synopsis Data Engineering with Python by : Paul Crickard

Download or read book Data Engineering with Python written by Paul Crickard and published by Packt Publishing Ltd. This book was released on 2020-10-23 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.


Data Engineering with Python Related Books

Data Engineering with Python
Language: en
Pages: 357
Authors: Paul Crickard
Categories: Computers
Type: BOOK - Published: 2020-10-23 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become
Data Teams
Language: en
Pages:
Authors: Jesse Anderson
Categories:
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

Data Engineering with Google Cloud Platform
Language: en
Pages: 440
Authors: Adi Wijaya
Categories: Computers
Type: BOOK - Published: 2022-03-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features
Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Data Engineering on Azure
Language: en
Pages: 334
Authors: Vlad Riscutia
Categories: Computers
Type: BOOK - Published: 2021-08-17 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure. Summary In Data Engineering on Azure you will learn how to: Pic