data lakehouse
data lakehouse at Beyond Market Intelligence is a file of 2 stories. The newest of them: “File Compaction's Real Impact on Query Speed, Tested Across Three SQL Workloads” and “Unlock Data Insights: Building a Lakehouse with DuckDB and DuckLake”. Compacting 1,000 Apache Iceberg files into just six sounds drastic, but this benchmark shows why fewer, larger files can dramatically accelerate query speed. A single Parquet file on your laptop might not feel like a data lakehouse yet. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every data lakehouse story on Beyond Market Intelligence, newest first.
File Compaction's Real Impact on Query Speed, Tested Across Three SQL Workloads
Compacting 1,000 Apache Iceberg files into just six sounds drastic, but this benchmark shows why fewer, larger files can dramatically accelerate query speed. Testing across three SQL workloads, the results are clear: file count matters more than most users realize. We appreciate how this experiment grounds the advice in real performance data rather than theory. It's a practical reminder that storage hygiene directly shapes analytics speed.
Unlock Data Insights: Building a Lakehouse with DuckDB and DuckLake
A single Parquet file on your laptop might not feel like a data lakehouse yet. But when you join that local data to cloud storage in the same query, the picture sharpens. DuckDB and DuckLake make this transition straightforward, not theoretical. It is a practical path from isolated files to a unified analytics layer. If you are tired of wrestling with complex infrastructure, this walkthrough feels like a breath of fresh air.