for or a given iceberg snapshot, there can be 0 or 1 deletion vector per data file & a deletion vector cannot span more than one data file
Tag Archives: apache
logo to company match game (data engineering open-source projects)
can you match the open-source data engineering project logos with the company names who are most affiliated with each?
optionality and common sense (why i returned to starburst)
i’m so excited to have returned to starburst and be focused on rebooting the devrel function, not to mention staying active in the trino and iceberg communities — long live the icehouse
apache spark (yet another overview)
an overview of apache spark presented from 20,000 feet, on the surface, and below the waterline
iceberg acid transactions with partitions (a behind the scenes perspective)
a port of my prior post taking a deeper look at what happens under the hood of hive with “acid” transactions — this time on iceberg tables with parquet files
develop, deploy, execute & monitor in one tool (welcome to apache nifi)
for those not familiar with apache nifi, come on a short overview of how this framework rather uniquely spans so many of the phases of the typical software development lifecycle
iceberg snapshots affect storage footprint (not performance)
it is easy to understand why most folks initially imagine that iceberg’s ability to maintain a long history of snapshots will cause performance problems, but that is not the case — the real gotcha is that keeping many versions can quickly consume 2-10+ times the amount of data lake storage space
well designed partitions aid iceberg compaction (call them ice cubes)
despite what you may have heard, partitions are not dead (yes, there are multiple tools in the shed) and using a well-defined partitioning strategy with apache iceberg can help prevent concurrency issues when compacting files
reasons to avoid apache iceberg (clickbait)
wrapper post for two starburst deliverables (webinar & blog post) discussing why you should, or maybe shouldn’t, move from apache hive to apache iceberg for your data lake table format
iceberg materialized views in galaxy (no más storage_schema)
starburst galaxy, as a saas offering, just keeps slipping in nice bits of features & functionality — this one tackles hiding the underlying storage table of an iceberg materialized view