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Dash vs Streamlit vs React for Data Applications
In many organizations data engineers eventually become the owners of dashboards that originally lived in BI tools like Power BI or Tableau. Over time the requirements for those dashboards…
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Practical writing on simpler architectures, maintainable analytics systems, and choosing the right level of complexity for the problem in front of you.
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In many organizations data engineers eventually become the owners of dashboards that originally lived in BI tools like Power BI or Tableau. Over time the requirements for those dashboards…
Article
Many wholesale food and beverage distributors assume analytics requires complex dashboards, expensive software, or a dedicated data team. That belief can lead to unnecessary cost and…
Article
A new year brings new challenges that will inevitably surface on your data engineering roadmap. The beginning of the year is a great moment to embrace lean data engineering principles and,…
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Many teams assume they need a cloud data warehouse such as Redshift, BigQuery, or Snowflake in order to build a modern data stack. This assumption leads to unnecessary complexity and cost,…
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Hudi, Iceberg, and Delta are the hottest jargon in modern data lake design. They bring impressive capabilities to cloud object storage such as ACID transactions, schema evolution, time…
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Every week, I come across teams running massive PySpark clusters to process datasets that could easily fit on a single machine. The result? Bloated AWS bills and a false sense of “future…