Data Pipelines with Apache Airflow Audiolivro Por Julian de Ruiter, Bas Harenslak capa

Data Pipelines with Apache Airflow

Amostra

Assine e ganhe 30% de desconto neste título

R$ 19,90 /mês

Teste grátis por 30 dias
R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.
Curta mais de 100.000 títulos de forma ilimitada.
Ouça quando e onde quiser, mesmo sem conexão
Sem compromisso. Cancele grátis a qualquer momento.

Data Pipelines with Apache Airflow

De: Julian de Ruiter, Bas Harenslak
Narrado por: Julie Brierley
Teste grátis por 30 dias

R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.

Compre agora por R$ 64,99

Compre agora por R$ 64,99

Confirmar a compra
Pagar usando o cartão terminado em
Ao confirmar sua compra, você concorda com as Condições de Uso da Audible e a Política de Privacidade da Amazon. Impostos, quando aplicável. PRECISA SER AJUSTADO
Cancelar

Sobre este áudio

Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines.

Summary

A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, and keeping processes 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, this book teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.

About the Technology

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. It features easy-to-use UI, plug-and-play options, and flexible Python scripting.

About the Book

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.

What's Inside

  • 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

About the Audience

For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills.

About the Authors

Bas 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.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2021 Manning Publications (P)2021 Manning Publications
Ciência de Dados Computadores e Tecnologia

O que os ouvintes dizem sobre Data Pipelines with Apache Airflow

Nota média dos ouvintes. Apenas ouvintes que tiverem escutado o título podem escrever avaliações.

Avaliações - Selecione as abas abaixo para mudar a fonte das avaliações.