{"product_id":"data-pipelines-with-apache-airflow","title":"Data Pipelines with Apache Airflow","description":"Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines.\n\nSummary\nA 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.\n\nPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\n\nAbout the technology\nData 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.\n\nAbout the book\nData 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.\n\nWhat's inside\nBuild, test, and deploy Airflow pipelines as DAGs\nAutomate moving and transforming data\nAnalyze historical datasets using backfilling\nDevelop custom components\nSet up Airflow in production environments\n\nAbout the reader\nFor DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills.\n\nAbout the author\nBas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies. Bas is also an Airflow committer.\n\nTable of Contents\n\nPART 1 - GETTING STARTED\n\n1 Meet Apache Airflow\n2 Anatomy of an Airflow DAG\n3 Scheduling in Airflow\n4 Templating tasks using the Airflow context\n5 Defining dependencies between tasks\n\nPART 2 - BEYOND THE BASICS\n\n6 Triggering workflows\n7 Communicating with external systems\n8 Building custom components\n9 Testing\n10 Running tasks in containers\n\nPART 3 - AIRFLOW IN PRACTICE\n\n11 Best practices\n12 Operating Airflow in production\n13 Securing Airflow\n14 Project: Finding the fastest way to get around NYC\n\nPART 4 - IN THE CLOUDS\n\n15 Airflow in the clouds\n16 Airflow on AWS\n17 Airflow on Azure\n18 Airflow in GCP\u003cbr\u003eASIN: 1617296902\u003cbr\u003eVSKU: DBV.1617296902.A\u003cbr\u003eCondition: Acceptable\u003cbr\u003eAuthor\/Artist:Harenslak, Bas P.\u003cbr\u003eBinding: Paperback\u003cbr\u003e\u003cb\u003eNote:\u003c\/b\u003e Any images shown are stock photographs and product may differ from what is shown.  \u003cbr\u003e\u003cb\u003eCondition Notes\u003c\/b\u003e: This copy has clearly been enjoyed—expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.  \u003cbr\u003e","brand":"Dream Books Co.","offers":[{"title":"Default Title","offer_id":41892749115450,"sku":"DBV.1617296902.A","price":11.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/6011\/0138\/files\/1617296902-0.jpg?v=1793849614","url":"https:\/\/shop.dreambooksco.com\/products\/data-pipelines-with-apache-airflow","provider":"Dream Books Co.","version":"1.0","type":"link"}