Crickard, Paul <br/><br/>
Data Engineering with Python  Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python  [electronic resource] : 

 - Birmingham :  Packt Publishing, Limited,  ©2020. 
 - xii, 357 pages :  illustrations ;  23 cm 
<br/><br/> Description based upon print version of record 
<br/><br/>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 
<br/><br/> Available to OhioLINK libraries 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>1839212306 
<br/><br/><label>Source: </label>9781839212307  Packt Publishing 8ED877EE-D46C-4D62-A51A-55817E09DE5A  OverDrive, Inc.  http://www.overdrive.com 
<br/><br/><label>Nat. Bib. No.: </label>GBC0C6754  bnb 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Database management<br/>Python (Computer program language)
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books<br/>Electronic books
<br/><br/><label>LC Class. No.: </label>QA76.9.D3 
<br/><br/><label>Dewey Class. No.: </label>005.7565