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Data Engineering with Python [electronic resource] : Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python

By: Contributor(s): Material type: TextTextPublication details: Birmingham : Packt Publishing, Limited, ©2020.Description: xii, 357 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1839212306
Subject(s): Genre/Form: DDC classification:
  • 005.7565 23
LOC classification:
  • QA76.9.D3
Online resources:
Contents:
What is data engineering? -- Building our data engineering infrastructure --Reading and writing files -- Working with databases - Cleaning, transforming, and enriching data --Building a 311 data pipeline -- Features of a production pipeline -- Version control with the NiFi registry --Monitoring data pipelines -- Deploying data pipelines -- Building a production data pipeline -- Buildings Kafka cluster -- Streaming data with Apache Kafka -- Data processing with Apache Spark -- Real-time edge data with MiNiFi, Kafka, and Spark
Summary: This book is a comprehensive introduction to building data pipelines, that will have you moving and transforming data in no time. You'll learn how to build data pipelines, transform and clean data, and deliver it to provide value to users. You will learn to deploy production data pipelines that include logging, monitoring, and version control
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor Books 006.312 CRI-D 62551 (Browse shelf(Opens below)) Available Paperback. 10001000062551
Total holds: 0

Description based upon print version of record

What is data engineering? -- Building our data engineering infrastructure --Reading and writing files -- Working with databases - Cleaning, transforming, and enriching data --Building a 311 data pipeline -- Features of a production pipeline -- Version control with the NiFi registry --Monitoring data pipelines -- Deploying data pipelines -- Building a production data pipeline -- Buildings Kafka cluster -- Streaming data with Apache Kafka -- Data processing with Apache Spark -- Real-time edge data with MiNiFi, Kafka, and Spark

Available to OhioLINK libraries

This book is a comprehensive introduction to building data pipelines, that will have you moving and transforming data in no time. You'll learn how to build data pipelines, transform and clean data, and deliver it to provide value to users. You will learn to deploy production data pipelines that include logging, monitoring, and version control

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