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Bas P. Harenslak Julian Rutger de Ru Data Pipelines with Apache Air (Paperback)
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eBay item number:315030460287
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Data Pipelines with Apache Airflow
- Publication Name
- Data Pipelines with Apache Airflow
- Title
- Data Pipelines with Apache Airflow
- Format
- Trade Paperback
- ISBN-10
- 1617296902
- EAN
- 9781617296901
- ISBN
- 9781617296901
- Publisher
- Manning Publications Co. LLC
- Genre
- Computing & Internet
- Release Date
- 07/06/2021
- Release Year
- 2021
- Country/Region of Manufacture
- US
- Item Height
- 1.1in
- Item Length
- 9.2in
- Item Width
- 7.3in
- Item Weight
- 30.3 Oz
- Language
- English
- Publication Year
- 2021
- Type
- Textbook
- Number of Pages
- 425 Pages
About this product
Product Information
Pipelines can be challenging to manage, especially when your data has to flow through a collection of application components, servers, and cloud services. Airflow lets you schedule, restart, and backfill pipelines, and its easy-to-use UI and workflows with Python scripting has users praising its incredible flexibility. Data Pipelines with Apache Airflow takes you through best practices for creating pipelines for multiple tasks, including data lakes, cloud deployments, and data science. Data Pipelines with Apache Airflow teaches you the ins-and-outs of the Directed Acyclic Graphs (DAGs) that power Airflow, and how to write your own DAGs to meet the needs of your projects. With complete coverage of both foundational and lesser-known features, when you're done you'll be set to start using Airflow for seamless data pipeline development and management. Key Features Framework foundation and best practices Airflow's execution and dependency system Testing Airflow DAGs Running Airflow in production For data-savvy developers, DevOps and data engineers, and system administrators with intermediate Python skills. About the technology Data pipelines are used to extract, transform and load data to and from multiple sources, routing it wherever it's needed -- whether that's visualisation tools, business intelligence dashboards, or machine learning models. Airflow streamlines the whole process, giving you one tool for programmatically developing and monitoring batch data pipelines, and integrating all the pieces you use in your data stack. Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies including Heineken, Unilever, and Booking.com. Bas is a committer, and both Bas and Julian are active contributors to Apache Airflow.
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617296902
ISBN-13
9781617296901
eBay Product ID (ePID)
12050403673
Product Key Features
Publication Name
Data Pipelines with Apache Airflow
Format
Trade Paperback
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
425 Pages
Dimensions
Item Length
9.2in
Item Height
1.1in
Item Width
7.3in
Item Weight
30.3 Oz
Additional Product Features
Lc Classification Number
Qa76.9.D343h46 2021
Copyright Date
2021
Topic
Cloud Computing, Data Visualization, General, Programming Languages / Python
Lccn
2021-288827
Dewey Decimal
006.3/12
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics
Item description from the seller
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eBay item number:315030460287
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Item location:
60502, United States
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Seller feedback (62,768)
t***r (262)- Feedback left by buyer.
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Multiple-repeat customer. As always, CD as described, for a good price, well packed and quickly shipped. Highly recommend.
t***r (262)- Feedback left by buyer.
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Multiple-repeat customer. As always, CD as described, for a good price, well packed and quickly shipped. Highly recommend.
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