DuckDB vs Azure Synapse SQL-on-Demand with parquet

Inspired by Uwe Korns post on DuckDB this post shows how to use Azure Synapse SQL-on-Demand to query parquet files with T-SQL on a serverless cloud infrastructure.
#python #parquet #pydata #pandas #azure

Peter Hoffmann Peter Hoffmann

Azure Data Explorer and Parquet files in the Azure Blob Storage

Last summer Microsoft has rebranded the Azure Kusto Query engine as Azure Data Explorer. While it does not support fully elastic scaling, it at least allows to scale up and out a cluster via an API or the Azure portal to adapt to different workloads. It also offers parquet support out of the box which made me spend some time to look into it.
#python #pydata #azure #parquet

Peter Hoffmann Peter Hoffmann

Understand predicate pushdown on row group level in Parquet with pyarrow and python

Apache Parquet is a columnar file format to work with gigabytes of data. Reading and writing parquet files is efficiently exposed to python with pyarrow. Additional statistics allow clients to use predicate pushdown to only read subsets of data to reduce I/O. Organizing data by column allows for better compression, as data is more homogeneous. Better compression also reduces the bandwidth required to read the input.
#python #pydata #parquet #arrow #pandas

Peter Hoffmann Peter Hoffmann