<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: talatuyarer</title><link>https://news.ycombinator.com/user?id=talatuyarer</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 30 Oct 2026 06:07:44 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=talatuyarer" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Show HN: Recreating Gemini Argon 3D demo using ExtrudeAI and FreeCAD]]></title><description><![CDATA[
<p>Article URL: <a href="https://chat.extrudeai.com/">https://chat.extrudeai.com/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50083808">https://news.ycombinator.com/item?id=50083808</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 14 Oct 2026 07:35:37 +0000</pubDate><link>https://chat.extrudeai.com/</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=50083808</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50083808</guid></item><item><title><![CDATA[Apache Iceberg Open Source Fine Grain Access Support]]></title><description><![CDATA[
<p>Article URL: <a href="https://opensource.googleblog.com/2026/10/standardizing-fine-grained-access-control-in-apache-icebergs-rest-catalog.html">https://opensource.googleblog.com/2026/10/standardizing-fine-grained-access-control-in-apache-icebergs-rest-catalog.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49966364">https://news.ycombinator.com/item?id=49966364</a></p>
<p>Points: 5</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 05 Oct 2026 15:44:05 +0000</pubDate><link>https://opensource.googleblog.com/2026/10/standardizing-fine-grained-access-control-in-apache-icebergs-rest-catalog.html</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=49966364</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49966364</guid></item><item><title><![CDATA[AI Parametric Part Design with FreeCAD on Browser]]></title><description><![CDATA[
<p>Article URL: <a href="https://chat.extrudeai.com/">https://chat.extrudeai.com/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49966338">https://news.ycombinator.com/item?id=49966338</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 05 Oct 2026 15:42:14 +0000</pubDate><link>https://chat.extrudeai.com/</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=49966338</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49966338</guid></item><item><title><![CDATA[New comment by talatuyarer in "Show HN: Public Apache Iceberg datasets via a REST catalog"]]></title><description><![CDATA[
<p>I hope this helps you<p><a href="https://gist.github.com/talatuyarer/02568a38a7630434556e7dc1f0a5ab40" rel="nofollow">https://gist.github.com/talatuyarer/02568a38a7630434556e7dc1...</a></p>
]]></description><pubDate>Fri, 16 Jan 2026 00:16:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=46641390</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=46641390</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46641390</guid></item><item><title><![CDATA[New comment by talatuyarer in "Show HN: Public Apache Iceberg datasets via a REST catalog"]]></title><description><![CDATA[
<p>Thank you.<p>Yes We have plan to publish Dataset for Apache V3 spec features such as Variant, Deletion Vector. I can update this comment when we have release date.</p>
]]></description><pubDate>Thu, 15 Jan 2026 19:49:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=46638164</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=46638164</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46638164</guid></item><item><title><![CDATA[Show HN: Public Apache Iceberg datasets via a REST catalog]]></title><description><![CDATA[
<p>Hi HN,<p>I’m one of the creators of this project.<p>We noticed that while many developers want to experiment with Apache Iceberg the "entry cost" is often high. You usually have to set up your own storage buckets, configure a catalog (like Hive), and ingest data before you can even run a single SELECT statement.<p>We wanted to lower that barrier. We’ve hosted a production-grade Iceberg REST Catalog on BigLake with public datasets (starting with the NYC Taxi data) that anyone can query.<p>You can point Spark, Trino, or Flink directly at the REST endpoint and start querying immediately.<p>You do need a Google Cloud Project ID for authentication/quota, but the data access itself is free and public.<p>I’d love to hear your thoughts. Are there specific datasets or Iceberg features you’d like to see added to the dataset?</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46636891">https://news.ycombinator.com/item?id=46636891</a></p>
<p>Points: 13</p>
<p># Comments: 6</p>
]]></description><pubDate>Thu, 15 Jan 2026 18:27:31 +0000</pubDate><link>https://opensource.googleblog.com/2026/01/explore-public-datasets-with-apache-iceberg-and-biglake.html</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=46636891</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46636891</guid></item><item><title><![CDATA[New comment by talatuyarer in "Lessons from Running Apache Iceberg in Production at Uber and DoorDash"]]></title><description><![CDATA[
<p>I believe link is wrong. Please use this to enroll: <a href="https://luma.com/byyyrlua" rel="nofollow">https://luma.com/byyyrlua</a></p>
]]></description><pubDate>Wed, 15 Oct 2025 00:48:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=45586763</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=45586763</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45586763</guid></item><item><title><![CDATA[Lessons from Running Apache Iceberg in Production at Uber and DoorDash]]></title><description><![CDATA[
<p>Article URL: <a href="https://sites.google.com/view/icebergmeetup">https://sites.google.com/view/icebergmeetup</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45586437">https://news.ycombinator.com/item?id=45586437</a></p>
<p>Points: 4</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 15 Oct 2025 00:00:54 +0000</pubDate><link>https://sites.google.com/view/icebergmeetup</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=45586437</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45586437</guid></item><item><title><![CDATA[New comment by talatuyarer in "The Line Between Databricks and BigQuery Just Got Blurry with BigLake MetaStore"]]></title><description><![CDATA[
<p>An architectural deep dive into how Google’s BigLake Metastore unifies Databricks and BigQuery through open standards — without vendor lock-in.</p>
]]></description><pubDate>Tue, 14 Oct 2025 16:30:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=45581993</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=45581993</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45581993</guid></item><item><title><![CDATA[The Line Between Databricks and BigQuery Just Got Blurry with BigLake MetaStore]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.com/@arvinddhariwal/unlocking-the-open-lakehouse-how-gcp-biglake-metastore-rest-catalog-unifies-databricks-bigquery-4f6abfe27577">https://medium.com/@arvinddhariwal/unlocking-the-open-lakehouse-how-gcp-biglake-metastore-rest-catalog-unifies-databricks-bigquery-4f6abfe27577</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45581992">https://news.ycombinator.com/item?id=45581992</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 14 Oct 2025 16:30:18 +0000</pubDate><link>https://medium.com/@arvinddhariwal/unlocking-the-open-lakehouse-how-gcp-biglake-metastore-rest-catalog-unifies-databricks-bigquery-4f6abfe27577</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=45581992</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45581992</guid></item><item><title><![CDATA[Apache Iceberg 1.10 adds incremental partition statistics]]></title><description><![CDATA[
<p>Article URL: <a href="https://opensource.googleblog.com/2025/09/apache-iceberg-110-maturing-the-v3-spec-the-rest-api-and-google-contributions.html">https://opensource.googleblog.com/2025/09/apache-iceberg-110-maturing-the-v3-spec-the-rest-api-and-google-contributions.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45376107">https://news.ycombinator.com/item?id=45376107</a></p>
<p>Points: 9</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 25 Sep 2025 17:36:27 +0000</pubDate><link>https://opensource.googleblog.com/2025/09/apache-iceberg-110-maturing-the-v3-spec-the-rest-api-and-google-contributions.html</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=45376107</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45376107</guid></item><item><title><![CDATA[New comment by talatuyarer in "Apache Iceberg V3 Spec new features for more efficient and flexible data lakes"]]></title><description><![CDATA[
<p>I believe we are very close to release candidate. We are waiting unknown type support for Apache Spark per latest email<p><a href="https://lists.apache.org/thread/gd5smyln3v6k4b790t5d1vy4483mt4o6" rel="nofollow">https://lists.apache.org/thread/gd5smyln3v6k4b790t5d1vy4483m...</a></p>
]]></description><pubDate>Tue, 12 Aug 2025 16:36:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=44878691</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=44878691</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44878691</guid></item><item><title><![CDATA[New comment by talatuyarer in "Apache Iceberg V3 Spec new features for more efficient and flexible data lakes"]]></title><description><![CDATA[
<p>Yes, the specification will be finalized with version 1.10. Previous versions also include specification changes. Iceberg's implementation of V3 occurs in three stages: Specification Change, Core Implementation, and Spark/Flink Implementation.<p>So far only Variant is supported in Spark and with 1.10 Spark will support nano timestamp and unknowntype I believe.</p>
]]></description><pubDate>Mon, 11 Aug 2025 22:29:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=44870213</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=44870213</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44870213</guid></item><item><title><![CDATA[New comment by talatuyarer in "Apache Iceberg V3 Spec new features for more efficient and flexible data lakes"]]></title><description><![CDATA[
<p>Yes 1.10 version will be first version for V3 spec. But not all features are implemented on runners such as Spark or Flink.</p>
]]></description><pubDate>Mon, 11 Aug 2025 21:19:14 +0000</pubDate><link>https://news.ycombinator.com/item?id=44869584</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=44869584</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44869584</guid></item><item><title><![CDATA[New comment by talatuyarer in "Apache Iceberg V3 Spec new features for more efficient and flexible data lakes"]]></title><description><![CDATA[
<p>This new version has some great new features, including deletion vectors for more efficient transactions and default column values to make schema evolution a breeze. The full article has all the details.</p>
]]></description><pubDate>Mon, 11 Aug 2025 17:45:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=44867132</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=44867132</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44867132</guid></item><item><title><![CDATA[Apache Iceberg V3 Spec new features for more efficient and flexible data lakes]]></title><description><![CDATA[
<p>Article URL: <a href="https://opensource.googleblog.com/2025/08/whats-new-in-iceberg-v3.html">https://opensource.googleblog.com/2025/08/whats-new-in-iceberg-v3.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44866677">https://news.ycombinator.com/item?id=44866677</a></p>
<p>Points: 87</p>
<p># Comments: 23</p>
]]></description><pubDate>Mon, 11 Aug 2025 17:07:34 +0000</pubDate><link>https://opensource.googleblog.com/2025/08/whats-new-in-iceberg-v3.html</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=44866677</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44866677</guid></item><item><title><![CDATA[Build a scalable, self-managed streaming infrastructure with Apache Flink]]></title><description><![CDATA[
<p>Article URL: <a href="https://beam.apache.org/blog/apache-beam-flink-and-kubernetes/">https://beam.apache.org/blog/apache-beam-flink-and-kubernetes/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38689722">https://news.ycombinator.com/item?id=38689722</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 18 Dec 2023 23:13:29 +0000</pubDate><link>https://beam.apache.org/blog/apache-beam-flink-and-kubernetes/</link><dc:creator>talatuyarer</dc:creator><comments>https://news.ycombinator.com/item?id=38689722</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38689722</guid></item></channel></rss>