Data Engineering with Python : Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python.

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...

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Bibliographic Details
Main Author: Crickard, Paul.
Format: eBook
Language: English
Published: Birmingham : Packt Publishing, Limited, 2020.
Subjects:
Database management.
Python (Computer program language)
elektronické knihy
electronic books
ISBN: 1839212306
9781839212307
9781839214189
Physical Description: 1 online resource (357 pages)

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Table of contents

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001 kn-on1202466316
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 201031s2020 enk o 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d UKAHL  |d YDX  |d N$T  |d OCLCO  |d EBLCP  |d OCLCF  |d UKMGB  |d TEFOD  |d MFS  |d DST  |d OCLCO  |d OCLCQ  |d ZCU  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 1839212306 
020 |a 9781839212307  |q (electronic bk.) 
020 |z 9781839214189  |q (pbk.) 
035 |a (OCoLC)1202466316  |z (OCoLC)1202226085  |z (OCoLC)1202474890 
100 1 |a Crickard, Paul. 
245 1 0 |a Data Engineering with Python :  |b Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python. 
260 |a Birmingham :  |b Packt Publishing, Limited,  |c 2020. 
300 |a 1 online resource (357 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
505 0 |a 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Database management. 
650 0 |a Python (Computer program language) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Crickard, Paul.  |t Data Engineering with Python : Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python.  |d Birmingham : Packt Publishing, Limited, ©2020  |z 9781839214189 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpDEP00022/data-engineering-with?kpromoter=marc  |y Full text 

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