Top Tweets for #DeltaTable
interesting twist :) the table format war has officially ended #deltatable adopting #apacheiceberg ‘future’ v4 spec 🥳
#polars streaming to #deltatable is very good !!!
test run in #Microsoftfabric data stored in #onelake
Python notebook will eat the world, maybe the RAM crisis is a good thing after all :)
https://t.co/IjdbRRvCmp
The fastest way to serve #DeltaTable and #ApacheIceberg ? #PowerBI Direct Lake mode from #onelake , no debate there.
What’s wild is it stays blazing fast even on the lowest #MicrosoftFabric tier (F2). 🚀
https://t.co/TUTRqhOfME
#duckdb is adding checkpoint to their ducklake format,
multiple table transactions as pip install , we live in an amazing time !!!
then you can expose the data as a #deltatable
self promotion 😅
https://t.co/4myqknrsGV
#PowerBI will analyze your #deltatable and load only the delta , pun intended :)
basically getting the same results using less work , it is like CDC to RAM 😁
first time, I built a python package, it does export #ducklake metadata to #deltatable, test it with #PowerBI and it works, hopefully we get a better solution from #duckdb :)
https://t.co/4myqknrsGV
🚀 #DuckDB is adding support for #ApacheIceberg V3 deletion vectors , which are compatible with #DeltaTable DV!
This is a huge step forward. There’s now a real possibility that both ecosystems will converge on a common data format.
https://t.co/1FTdiKGS5E
apparently this is a legit #deltatable , basically no log replay, just snapshots , spark don't like it, but #PowerBI direct lake read it just fine (the only reader i care about),
just export snapshot from #ducklake and you have a proper metadata sync out of thin air !!!
🚀 #DeltaTable v4 has landed , and it marks a big shift! Catalog-managed tables (in preview) are now first-class citizens. the days of using storage to handle transactions are over, Time to mourn… and move on.
#ApacheSpark #Lakehouse
👉 https://t.co/K20PF9KMl7
#duckdb ODBC driver now support #deltatable in Direct Query mode, this table is hosted in Cloudflare R2 !!
that's interesting !! a new flag in #deltatable that insure that the data written is compatible with #apacheiceberg , it does not add any metadata but just guarantee that you can do it if you need to.
https://t.co/bi6gvQESYQ
How to Read a #DeltaTable with Deletion Vectors and Column Mapping in #Python
https://t.co/PDiU4X4Z8C
#Microsoftfabric #onelake #duckdb #deltatlake
This is very big deal, experimental write support for #Deltatable using delta RS kernel, the users here are Query Engines not end users
https://t.co/XcduB2dAr4
using #deltatable Python packages to detect changes downstream, and process data either incrementally or full refresh
#Python #MicrosoftFabric #onelake
https://t.co/tm7qRZFSQm
if you are serious about #deltatable, you need your own #parquet writer, with the support of partition, @daft_dataframe is the new winner of my "ETL Benchmarks" based on my own data
@duckdb step up your game 😋😅😋
so google colab just upgraded #duckdb to 10.3 which means you can read #deltatable out of the box !!! meanwhile apache #iceberg still needs a FU@%^&* catalog just to read a table, give us version-hint.txt and stop this madness
https://t.co/NG8EaUubPN
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