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Data Engineering with Python



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 examplesDesign data models and learn how to extract, transform, and load (ETL) data using PythonSchedule, automate, and monitor complex data pipelines in production


Book Description

Data 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 workflowsDiscover how to extract data from files and databases and then clean, transform, and enrich itConfigure processors for handling different file formats as well as both relational and NoSQL databasesFind out how to implement a data pipeline and dashboard to visualize resultsUse staging and validation to check data before landing in the warehouseBuild real-time pipelines with staging areas that perform validation and handle failuresGet 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.


Ketersediaan

3688004 CRI d.1.ED1 WSD-2022Perpustakaan Fakultas Komputer UDB (004)Tersedia

Informasi Detil

Judul Seri
Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python
No. Panggil
004 CRI d.1.ED1 WSD-2022
Penerbit Packt Publishing : Mumbai.,
Deskripsi Fisik
xii; 337; 24
Bahasa
English
ISBN/ISSN
9781839214189
Klasifikasi
004
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subyek
Info Detil Spesifik
-
Pernyataan Tanggungjawab

Versi lain/terkait

Tidak tersedia versi lain




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