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To keep myself sane, I use Airflow to automate tasks with simple, reusable pieces of code for frequently repeated elements of projects, for example: Web scraping ETL Database management Feature building and data validation And much more! What’s Airflow, and why’s it so good? What makes it my go to?
Kappa – Architecture Jay Kreps introduced the Kappa architecture in 2014 as an alternative to the Lambda architecture. It offers the advantage of having a single ETL platform to develop and maintain. It is well-suited for developing data systems that emphasize online learning and do not require a separate batch layer.
General Purpose Tools These tools help manage the unstructured data pipeline to varying degrees, with some encompassing data collection, storage, processing, analysis, and visualization. DagsHub's DataEngine DagsHub's DataEngine is a centralized platform for teams to manage and use their datasets effectively.
Effectively this is a way to store the source of truth and build (or rebuild) your downstream data products (including data warehouses) from it. What is the Difference Between a Data Lake and a Data Warehouse? Historically, there were big differences.
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