Indonesia, are you ready? 🇮🇩🔥 DJ SODA‘s Indonesia Tour starts this week May 12 — Sector B from YB’s Sector B YouTube Live May 15 — Superhouse Paskal, Bandung May 16 — Mimi Livehouse PIK, Jakarta Soda Gembira in town! See you very soon everyone💕

With the passing of Richard Scolyer, we have lost one of our brightest lights and one of our biggest hearts. As the joint 2024 Australian of the Year, Professor Scolyer took his place in the national spotlight with determination and purpose as he very publicly dealt with his glioblastoma, an aggressive form of brain cancer. Every day, this remarkable man – the cancer specialist who became his own subject – took us into his confidence, and he lifted us all in the process. Richard’s journey was difficult and confronting. “My uncertain path”, as he termed it with characteristic understatement. Yet it was one he travelled with courage, determination, and a grace that never ceased to be remarkable. The way he shared it with us was an act of profound generosity. He showed us what it means to hope, and to keep searching for solutions. He showed us how to stand firm against fear and stay true to yourself. Now Richard’s journey is done, yet his legacy will always be with us. The recently established Richard Scolyer Chair at the Chris O’Brien Lifehouse proudly bears his name. And one day when a cure is found, Richard’s name will be spoken. The hearts of all Australians go out to his wife, Dr Katie Nicholl, and their children, Emily, Matthew and Lucy. And may Richard Scolyer rest in peace.

With Lakehouse federation for AlloyDB, you can query data in Iceberg and BigQuery from the PostgreSQL plane. Get historical insights in BigQuery or Iceberg without any data movement →

DuckLake: The Lakehouse That's Just SQL & Parquet [Talk Python to Me, Ep. 562] How many files does your query read before it reads any data? On some data lakes, you go through JSON and metadata files first, just to learn which Parquet files matter. #DuckLake# asks one SQL question instead. The metadata lives in a real database. The data stays in plain Parquet. That's the entire format. With Quack as the catalog, DuckLake handles 200 transactions a second under heavy contention. No other open table format comes close. In this episode of @TalkPython, host @mkennedy talks with @holanda_pe, lead developer for DuckLake at DuckLabs, and Guillermo Sanchez Dionis, who works on both DuckLake and the new Quack protocol – together they discuss all the details of DuckLake, Quack, and more. Watch the episode here or listen wherever you get your podcasts:

An AI-ready open lakehouse has three layers: Apache Iceberg for storage, catalog federation for governance, and MCP for AI agent access. More on our borderless lakehouse with @googlecloud: 🧊

Querying JSON in open lakehouse tables means parsing everything at runtime — no predicate pushdown, no skipping. Iceberg v3 Variant flips that by: ✦ Shredding nested data into typed columns at write time ✦ Enabling predicate pushdown at the column level Result: In an 11-query benchmark on identical Iceberg tables, Snowflake was 2.3x faster at equivalent compute.