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      <title>Chaos and Order</title>
      <link>https://www.youngju.dev/blog</link>
      <description>천천히 올바르게. AI Researcher &amp; DevOps Engineer Youngju&#39;s tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering.</description>
      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
      <lastBuildDate>Sat, 16 May 2026 00:00:00 GMT</lastBuildDate>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-restaurant-food-tech-2026-toast-ai-olo-presto-mcdonalds-ibm-domino-sweetgreen-infinite-kitchen-rebellyous-deep-dive.en</guid>
    <title>AI Restaurants &amp; Food Tech 2026 Complete Guide - Toast AI · Olo · Presto · McDonald&#39;s · Domino&#39;s · Sweetgreen Infinite Kitchen · Chipotle Autocado · Soul Machines · Bear Robotics · Baemin AI Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-restaurant-food-tech-2026-toast-ai-olo-presto-mcdonalds-ibm-domino-sweetgreen-infinite-kitchen-rebellyous-deep-dive.en</link>
    <description>In 2026 the restaurant industry has become a battleground for AI and robotics. We dive deep into Toast · Square · Olo POS stacks, Presto · Wendy&#39;s FreshAI · OpenAI Aramark voice ordering, Sweetgreen Infinite Kitchen · Chipotle Autocado · Bear Robotics Servi · Miso Flippy automated kitchens, Baemin AI Tastemaker · Yogiyo · Coupang Eats · Demae-can in Asia, and the Wendy&#39;s surge pricing backlash and McDonald&#39;s IBM drive-thru shutdown stories.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-restaurant</category><category>food-tech</category><category>toast-ai</category><category>olo</category><category>presto</category><category>mcdonalds-ai</category><category>dominos</category><category>sweetgreen</category><category>chipotle</category><category>bear-robotics</category><category>baemin</category><category>english</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-restaurant-food-tech-2026-toast-ai-olo-presto-mcdonalds-ibm-domino-sweetgreen-infinite-kitchen-rebellyous-deep-dive.ja</guid>
    <title>AIレストラン &amp; フードテック 2026 完全ガイド - Toast AI · Olo · Presto · McDonald&#39;s · Domino&#39;s · Sweetgreen Infinite Kitchen · Chipotle Autocado · Soul Machines · Bear Robotics · 出前館 AI 徹底解説</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-restaurant-food-tech-2026-toast-ai-olo-presto-mcdonalds-ibm-domino-sweetgreen-infinite-kitchen-rebellyous-deep-dive.ja</link>
    <description>2026年の外食産業はAIとロボットの主戦場です。Toast · Square · Olo の POS スタック、Presto · Wendy&#39;s FreshAI · OpenAI Aramark の音声注文、Sweetgreen Infinite Kitchen · Chipotle Autocado · Bear Robotics Servi · Miso Flippy の自動化キッチン、배달의민족 (Baemin) AI 미식가 · 요기요 · 쿠팡이츠 · 出前館、Wendy&#39;s ダイナミックプライシング炎上事件と McDonald&#39;s IBM AI ドライブスルー終了事件まで、AI レストランスタックを徹底解説します。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-restaurant</category><category>food-tech</category><category>toast-ai</category><category>olo</category><category>presto</category><category>mcdonalds-ai</category><category>dominos</category><category>sweetgreen</category><category>chipotle</category><category>bear-robotics</category><category>baemin</category><category>日本語</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-restaurant-food-tech-2026-toast-ai-olo-presto-mcdonalds-ibm-domino-sweetgreen-infinite-kitchen-rebellyous-deep-dive</guid>
    <title>AI 레스토랑 &amp; 푸드 테크 2026 완벽 가이드 - Toast AI · Olo · Presto · McDonald&#39;s · Domino&#39;s · Sweetgreen Infinite Kitchen · Chipotle Autocado · Soul Machines · Bear Robotics · 배달의민족 AI 심층 분석</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-restaurant-food-tech-2026-toast-ai-olo-presto-mcdonalds-ibm-domino-sweetgreen-infinite-kitchen-rebellyous-deep-dive</link>
    <description>2026년 외식업은 AI와 로봇의 격전지입니다. Toast · Square · Olo POS 스택, Presto · Wendy&#39;s FreshAI · OpenAI Aramark 보이스 주문, Sweetgreen Infinite Kitchen · Chipotle Autocado · Bear Robotics Servi · Miso Flippy 자동화 주방, 배달의민족 AI 미식가 · 요기요 · 쿠팡이츠 · 出前館, Wendy&#39;s 서지 프라이싱 백래시 · McDonald&#39;s IBM 드라이브-스루 종료 사건까지 AI 레스토랑 스택을 심층 분석합니다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-restaurant</category><category>food-tech</category><category>toast-ai</category><category>olo</category><category>presto</category><category>mcdonalds-ai</category><category>dominos</category><category>sweetgreen</category><category>chipotle</category><category>bear-robotics</category><category>baemin</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-data-lakehouse-modern-data-engineering-2026-iceberg-delta-hudi-paimon-tabular-databricks-trino-spark-4-deep-dive.en</guid>
    <title>Data Lakehouse &amp; Modern Data Engineering 2026 — Iceberg / Delta / Hudi / Paimon / Tabular (Databricks acquisition) / Trino / Spark 4 / Flink 2 / DataFusion Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-data-lakehouse-modern-data-engineering-2026-iceberg-delta-hudi-paimon-tabular-databricks-trino-spark-4-deep-dive.en</link>
    <description>Data engineering in 2026 is no longer the era of &quot;data warehouse vs data lake.&quot; Apache Iceberg emerged as the winner of the 2024-25 table format war — Netflix, Apple, LinkedIn, Stripe, Airbnb all converged on it. Databricks acquired Tabular (founded by Iceberg co-creator Ryan Blue) for over $1B in June 2024, bringing Delta Lake and Iceberg under one roof. Apache Hudi takes its own path through Onehouse, while Apache Paimon (born from the Flink team) defines a new category called &quot;streaming lakehouse.&quot; For processing engines, Spark 4 (Spark Connect) and Flink 2 lead; for query engines, Trino, Presto, DuckDB, and ClickHouse share the field; for transformations, dbt is the standard; for catalogs, Unity Catalog, Polaris, and BigLake compete. This essay maps the 2026 lakehouse landscape — table formats, engines, catalogs, commercial services, plus Korean and Japanese case studies — in one sweep.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>data-engineering</category><category>data-lakehouse</category><category>apache-iceberg</category><category>delta-lake</category><category>apache-hudi</category><category>apache-paimon</category><category>tabular</category><category>databricks</category><category>snowflake</category><category>bigquery</category><category>dbt</category><category>trino</category><category>presto</category><category>spark</category><category>flink</category><category>clickhouse</category><category>duckdb</category><category>apache-arrow</category><category>apache-parquet</category><category>apache-orc</category><category>datafusion</category><category>onehouse</category><category>2026</category><category>deep-dive</category><category>english</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-data-lakehouse-modern-data-engineering-2026-iceberg-delta-hudi-paimon-tabular-databricks-trino-spark-4-deep-dive.ja</guid>
    <title>データレイクハウス &amp; モダンデータエンジニアリング 2026 — Iceberg / Delta / Hudi / Paimon / Tabular (Databricks買収) / Trino / Spark 4 / Flink 2 / DataFusion 徹底ガイド</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-data-lakehouse-modern-data-engineering-2026-iceberg-delta-hudi-paimon-tabular-databricks-trino-spark-4-deep-dive.ja</link>
    <description>2026年のデータエンジニアリングは、もはや「データウェアハウス対データレイク」の時代ではない。2024-25年のテーブルフォーマット戦争はApache Icebergの勝利に終わり、Netflix・Apple・LinkedIn・Stripe・Airbnbが揃ってその上に集まった。Databricksは2024年6月、Iceberg共同創設者Ryan BlueのTabularを10億ドル超で買収し、Delta LakeとIcebergを同じ屋根の下にまとめた。一方、Apache HudiはOnehouseという商用会社を通じて独自の道を歩み、Flinkチーム発のApache Paimonは「ストリーミング・レイクハウス」という新カテゴリを定義する。処理エンジンはSpark 4 (Spark Connect)とFlink 2、クエリエンジンはTrino・Presto・DuckDB・ClickHouse、変換はdbtが標準、カタログはUnity Catalog・Polaris・BigLakeが分担する。この記事では2026年のデータレイクハウスの全景を — テーブルフォーマット、エンジン、カタログ、商用サービス、日本・韓国の事例まで — 一気に整理する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>data-engineering</category><category>data-lakehouse</category><category>apache-iceberg</category><category>delta-lake</category><category>apache-hudi</category><category>apache-paimon</category><category>tabular</category><category>databricks</category><category>snowflake</category><category>bigquery</category><category>dbt</category><category>trino</category><category>presto</category><category>spark</category><category>flink</category><category>clickhouse</category><category>duckdb</category><category>apache-arrow</category><category>apache-parquet</category><category>apache-orc</category><category>datafusion</category><category>onehouse</category><category>2026</category><category>deep-dive</category><category>日本語</category>
  </item>

  <item>
    <guid>https://www.youngju.dev/blog/culture/2026-05-16-data-lakehouse-modern-data-engineering-2026-iceberg-delta-hudi-paimon-tabular-databricks-trino-spark-4-deep-dive</guid>
    <title>데이터 레이크하우스 &amp; 모던 데이터 엔지니어링 2026 — Iceberg / Delta / Hudi / Paimon / Tabular (Databricks 인수) / Trino / Spark 4 / Flink 2 / DataFusion 심층 가이드</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-data-lakehouse-modern-data-engineering-2026-iceberg-delta-hudi-paimon-tabular-databricks-trino-spark-4-deep-dive</link>
    <description>2026년의 데이터 엔지니어링은 더 이상 &quot;데이터 웨어하우스 vs 데이터 레이크&quot;의 시대가 아니다. Apache Iceberg가 2024-25년 테이블 포맷 전쟁의 승자로 떠오르면서 Netflix·Apple·LinkedIn·Stripe·Airbnb가 모두 그 위에 모였고, Databricks는 2024년 6월 Iceberg 공동 창시자 Ryan Blue의 Tabular를 $1B 이상으로 인수해 Delta Lake와 Iceberg를 한 지붕 아래로 끌어들였다. 한쪽에서는 Apache Hudi가 Onehouse라는 상용화 회사를 통해 자기 길을 가고, Flink 팀이 만든 Apache Paimon이 스트리밍 레이크하우스라는 새 카테고리를 정의한다. 처리 엔진은 Spark 4(Spark Connect)와 Flink 2가, 쿼리 엔진은 Trino·Presto·DuckDB·ClickHouse가, 변환은 dbt가, 카탈로그는 Unity Catalog·Polaris·BigLake가 나눠 들고 있다. 이 글은 2026년 데이터 레이크하우스의 풍경을 — 테이블 포맷, 엔진, 카탈로그, 상용 서비스, 한국·일본 사례까지 — 한 호흡으로 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>data-engineering</category><category>data-lakehouse</category><category>apache-iceberg</category><category>delta-lake</category><category>apache-hudi</category><category>apache-paimon</category><category>tabular</category><category>databricks</category><category>snowflake</category><category>bigquery</category><category>dbt</category><category>trino</category><category>presto</category><category>spark</category><category>flink</category><category>clickhouse</category><category>duckdb</category><category>apache-arrow</category><category>apache-parquet</category><category>apache-orc</category><category>datafusion</category><category>onehouse</category><category>2026</category><category>deep-dive</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-hadoop-spark-flink-trino-iceberg-delta-lake-hudi-airflow-dbt-data-engineering-2026-deep-dive.en</guid>
    <title>Hadoop Ecosystem &amp; Data Engineering 2026 Deep Dive - Hadoop, Spark, Flink, Trino, Iceberg, Delta Lake, Hudi, Airflow, dbt</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-hadoop-spark-flink-trino-iceberg-delta-lake-hudi-airflow-dbt-data-engineering-2026-deep-dive.en</link>
    <description>A complete look at the data engineering stack in May 2026. The truth behind the &quot;Hadoop is dead&quot; headline (HDFS is shrinking, but YARN and the lakehouse pattern survive), the conclusion of the Iceberg vs Delta Lake vs Hudi table format war, the current state of Spark 4.0 + Photon + Spark Connect, Flink SQL and CDC as streaming standards, Trino federated SQL, the dbt + Iceberg modern ELT stack, Airflow 3.0 / Dagster / Prefect / Mage / Kestra orchestration, the ClickHouse / DuckDB / Pinot / Druid analytics convergence, Snowflake / Databricks / BigQuery / Redshift warehouses, and real production cases from Korea and Japan — all in one piece.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>hadoop</category><category>spark</category><category>flink</category><category>trino</category><category>presto</category><category>iceberg</category><category>delta-lake</category><category>hudi</category><category>airflow</category><category>dagster</category><category>dbt</category><category>lakehouse</category><category>data-engineering</category><category>big-data</category><category>kafka</category>
  </item>

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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-hadoop-spark-flink-trino-iceberg-delta-lake-hudi-airflow-dbt-data-engineering-2026-deep-dive.ja</guid>
    <title>Hadoopエコシステム &amp; データエンジニアリング 2026 完全ガイド - Hadoop · Spark · Flink · Trino · Iceberg · Delta Lake · Hudi · Airflow · dbt 詳細分析</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-hadoop-spark-flink-trino-iceberg-delta-lake-hudi-airflow-dbt-data-engineering-2026-deep-dive.ja</link>
    <description>2026年5月時点のデータエンジニアリングスタックを徹底解説する。「Hadoopは死んだ」という刺激的なヘッドラインの真実(HDFSは縮小しているが、YARNとレイクハウスパターンは生き残っている)、Iceberg vs Delta Lake vs Hudiのテーブルフォーマット戦争の決着、Spark 4.0 + Photon + Spark Connectの現在、Flink SQLとCDCによるストリーミング標準化、Trinoによるフェデレーテッドクエリ、dbt + Icebergモダン ELTスタック、Airflow 3.0 / Dagster / Prefect / Mage / Kestraのオーケストレーション、ClickHouse / DuckDB / Pinot / Druidの分析コンバージェンス、Snowflake / Databricks / BigQuery / Redshiftウェアハウス、そして韓国と日本の実運用事例まで、一本で整理する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>hadoop</category><category>spark</category><category>flink</category><category>trino</category><category>presto</category><category>iceberg</category><category>delta-lake</category><category>hudi</category><category>airflow</category><category>dagster</category><category>dbt</category><category>lakehouse</category><category>data-engineering</category><category>big-data</category><category>kafka</category>
  </item>

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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-hadoop-spark-flink-trino-iceberg-delta-lake-hudi-airflow-dbt-data-engineering-2026-deep-dive</guid>
    <title>Hadoop 생태계 &amp; 데이터 엔지니어링 2026 완벽 가이드 - Hadoop · Spark · Flink · Trino · Iceberg · Delta Lake · Hudi · Airflow · dbt 심층 분석</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-hadoop-spark-flink-trino-iceberg-delta-lake-hudi-airflow-dbt-data-engineering-2026-deep-dive</link>
    <description>2026년 5월 기준 데이터 엔지니어링 스택을 끝까지 본다. &quot;Hadoop은 죽었다&quot;는 자극적 헤드라인의 진실(HDFS는 줄어들지만 YARN과 레이크하우스 패턴은 살아남았다), Iceberg vs Delta Lake vs Hudi 테이블 포맷 전쟁의 결말, Spark 4.0 + Photon + Spark Connect의 현재, Flink SQL과 CDC의 스트리밍 표준화, Trino 페더레이션 SQL, dbt + Iceberg 모던 ELT 스택, Airflow 3.0 / Dagster / Prefect / Mage / Kestra 오케스트레이션, ClickHouse · DuckDB · Pinot · Druid 분석 컨버전스, Snowflake · Databricks · BigQuery · Redshift 웨어하우스, 그리고 한국과 일본의 실제 운영 사례까지 한 글에서 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>hadoop</category><category>spark</category><category>flink</category><category>trino</category><category>presto</category><category>iceberg</category><category>delta-lake</category><category>hudi</category><category>airflow</category><category>dagster</category><category>dbt</category><category>lakehouse</category><category>data-engineering</category><category>big-data</category><category>kafka</category>
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