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The Airflow Smart Sensor Service

Airbnb Tech

Consolidating long-running, lightweight tasks for improved resource utilization By: Yingbo Wang , Kevin Yang Introduction Airflow is a platform to programmatically author, schedule, and monitor data pipelines. Back in 2018, Airbnb’s Airflow cluster had several thousand DAGs and more than 30 thousand tasks running at the same time.

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Data Engineering Weekly #139

Data Engineering Weekly

This blog post will delve into these questions, tackle common misconceptions, and give you an intuitive understanding of how to think about GPUs. The blog classifies the pattern of prompt engineering from its experience building Github CoPilot. The blog overviews potential information leakage and how to minimize it.

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Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. Some of the work engines available are: MAKE Luigi Apache airflow Argo Prefect For this exercise, we had to separate the downloading of the data with saving the data to the database. This was used to test our setup.

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dbt Alerting and Monitoring with Databand

Databand.ai

In this blog, we’ll show how continuous data observability integrates with dbt Cloud jobs and tests within the context of Apache Airflow. Setting the stage with Airflow DAG overview Let’s get started! For our example today, I’m going to pick one of the Airflow DAGs here called service_311_closed_requests.

SQL 52
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The Spiritual Alignment of dbt + Airflow

dbt Developer Hub

Airflow and dbt are often framed as either / or: You either build SQL transformations using Airflow’s SQL database operators (like SnowflakeOperator ), or develop them in a dbt project. You either orchestrate dbt models in Airflow, or you deploy them using dbt Cloud.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. Data is collected from various data sources during extraction, including business systems, applications, sensors, and databanks.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

And, out of these professions, this blog will discuss the data engineering job role. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. Project Idea: We’ll explore the usage of Apache Airflow for managing workflows. The data engineering projects mentioned in this blog might seem challenging.