https://earthquake.usgs.gov/earthquakes/eventpage/aka2026ttudjl
https://earthquake.usgs.gov/earthquakes/eventpage/aka2026ttudjl
Those Wikipedia & GitHub datasets are now live as public @apache.org Iceberg tables via BigLake REST catalog—queryable right from PyIceberg:
opensource.googleblog.com/2026/09/new-...
Those Wikipedia & GitHub datasets are now live as public @apache.org Iceberg tables via BigLake REST catalog—queryable right from PyIceberg:
opensource.googleblog.com/2026/09/new-...
Two Iceberg Clients, One Protocol: Where the Time Goes
#rust #python #iceberg #performance
Two Iceberg Clients, One Protocol: Where the Time Goes
#rust #python #iceberg #performance
https://earthquake.usgs.gov/earthquakes/eventpage/aka2026ssnfqn
https://earthquake.usgs.gov/earthquakes/eventpage/aka2026ssnfqn
One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One
#mcp #iceberg #python #dataengineering
One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One
#mcp #iceberg #python #dataengineering
https://olake.io/blog/biglake-iceberg-rest-catalog-olake-go-setup/
https://olake.io/blog/biglake-iceberg-rest-catalog-olake-go-setup/
barczablog.com/2026/08/18/e...
barczablog.com/2026/08/18/e...
minneapolimedia.town.news/g/coon-rapid...
#MinneapoliMedia #SundayNews #BigLake
minneapolimedia.town.news/g/coon-rapid...
#MinneapoliMedia #SundayNews #BigLake
Common in traditional enterprises that are evolving their stack. You keep your existing data warehouse for "hot" data and use its extension capabilities to query your data lake.
Examples: Snowflake with external tables on S3, or BigQuery with BigLake.
#Snowflake #BigQuery
Common in traditional enterprises that are evolving their stack. You keep your existing data warehouse for "hot" data and use its extension capabilities to query your data lake.
Examples: Snowflake with external tables on S3, or BigQuery with BigLake.
#Snowflake #BigQuery