| 000 -LEADER |
|---|
| fixed length control field |
03501cam a22004457i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230828105955.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210820s2021 nyua 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781617296901 |
|
|---|
| International Standard Book Number |
1617296902 |
| 041 ## - Language |
|---|
| Language code of text/sound track or separate title |
eng |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.D343 |
| Item number |
H46 2021 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 |
| Edition number |
23 |
| Item number |
H276 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Harenslak, Bas, |
| Relator term |
author. |
| 9 (RLIN) |
45547 |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Data pipelines with Apache Airflow / |
| Statement of responsibility, etc |
Bas Harenslak and Julian de Ruiter. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Shelter Island, NY : |
| Name of publisher, distributor, etc |
Manning Publications Co., |
| Date of publication, distribution, etc |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiv, 454 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack... Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task. Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You'll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline's needs. Build, test, and deploy Airflow pipelines as DAGs; Automate moving and transforming data; Analyze historical datasets using backfilling; Develop custom components; Set up Airflow in production environments. For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills. -- From publisher's description. |
| 630 04 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Airflow (Electronic resource : Apache Software Foundation) |
| 9 (RLIN) |
45548 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining. |
|
|---|
| Topical term or geographic name as entry element |
Cloud computing. |
|
|---|
| Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
|
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 9 (RLIN) |
4569 |
|
|---|
| Topical term or geographic name as entry element |
Big data. |
| 9 (RLIN) |
42765 |
|
|---|
| Topical term or geographic name as entry element |
Machine learning. |
|
|---|
| Topical term or geographic name as entry element |
Electronic data processing. |
|
|---|
| Topical term or geographic name as entry element |
Information storage and retrieval systems |
| General subdivision |
Scalability. |
| 9 (RLIN) |
45549 |
|
|---|
| Topical term or geographic name as entry element |
Application program interfaces (Computer software) |
| 9 (RLIN) |
31442 |
|
|---|
| Topical term or geographic name as entry element |
Application program interfaces (Computer software) |
| Source of heading or term |
fast |
| 9 (RLIN) |
31442 |
|
|---|
| Topical term or geographic name as entry element |
Big data. |
| Source of heading or term |
fast |
| 9 (RLIN) |
42765 |
|
|---|
| Topical term or geographic name as entry element |
Cloud computing. |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Data mining. |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Electronic data processing. |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Information storage and retrieval systems |
| General subdivision |
Scalability. |
| Source of heading or term |
fast |
| 9 (RLIN) |
45550 |
|
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| Source of heading or term |
fast |
| 9 (RLIN) |
4569 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ruiter, Julian de, |
| Relator term |
author. |
| 9 (RLIN) |
45551 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |
