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If I made a word cloud of the terms in 2016 that dominated Startupland, burn would be among them and perhaps the largest. On the contrary, burn would be absent from the 2015 list, replaced by unicorn. Starting in the end of 2015, Public companies have markedly shifted the way they manage their businesses pushing toward cash flow positive and net income positive.
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ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
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