If you’re a data engineer, then you’ve likely at least heard of Airflow. Apache Airflow is one of the most popular open-source workflow orchestration solutions that gets used for data pipelines. This is what spurred me to write the article “Should You Use Airflow” because there are plenty of people who don’t enjoy Airflow or…
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Apache Airflow is an extremely popular tool that data engineers rely on. But why? Why do data engineers like Airflow? Also, what does the Apache Airflow event do? In this article, we will answer questions like: What is Airflow? What is a DAG? Why do people use Apache Airflow? Why do we like Airflow?…
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Photo by Sigmund on Unsplash 2022 is coming to an end. What is the state of data infra? Are Snowflake and Databricks still fighting over total cost of ownership? Is everyone switching to DuckDB? Are data engineers all learning Rust? Let’s try to answer these questions. Building field-level lineage for modern data systems Lineage…
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Source Apache Airflow is a popular open-source tool that helps teams create, schedule, and monitor sequences of tasks, known as “workflows.” Managed Workflows for Apache Airflow, abbreviated as MWAA, is a managed service designed for orchestration in Apache Airflow. With MWAA, users can easily operate data pipelines at scale, setting up and managing them from…
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Maybe it’s the 6 figure salaries, the opportunity to work with cool technology or people are finally learning that data engineering is where everything starts in the data field. Whatever the reason, people are noticing. VCs are investing in data storage and ingestion platforms and companies are interviewing more data engineers compared to previous years. But how…
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Photo by Windows on Unsplash It seems like it might be finally happening. Data engineering is finally getting a little bit of the data lime light. Which makes sense. The data being stored and analyzed is not only becoming more voluminous but its speed, complexity and variety are also increasing. Making it difficult to wrangle. With…
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Photo by Mike Benna on Unsplash One of the main roles of a data engineer can be summed up as getting data from point A to point B. We often need to pull data out of one system and insert it into another. This could be for various purposes. This includes analytics, integrations, and machine learning. But in…
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