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Hive MetaStore 在快手遇到的挑戰與優化
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Hive MetaStore 在快手遇到的挑戰與優化
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Hive SQL底層執行過程詳細剖析
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Clickhouse 在唯品會數據產品的實踐
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Portable UDF：Facebook 工程師為了解決不同計算引擎 UDF 統一的項目
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Apache Flink 在 bilibili 的多元化探索與實踐
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Presto在騰訊資訊業務中的應用
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Presto 動態過濾(dynamic filtering)原理與應用
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Flink & Iceberg 在去哪兒的實時數倉實踐
Impala 3.4 在網易的最新實踐
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Hadoop2.6 升級到 3.2 在58同城的實踐
第一本系統介紹數據湖的書可以下載了：Delta Lake 權威指南
Delta Lake 1.0.0 發布，多項新特性重磅發布
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Flink 和 Pulsar 的批流融合
一文了解 Data Lakehouse 的演變
基於HBase的大數據存儲在京東的應用場景
Apache Spark 3.0 是如何提高 SQL 工作負載的性能
Apache Flink 在有贊的實踐和應用
繼CDH收費之后，這家公司率先推出了免費版大數據套件服務！
數據中台與傳統大數據平台有什么區別？終於有人講明白了
基於 NVIDIA GPU 和 RAPIDS 加速 Spark 3.0
你有多久沒有吐槽過你公司用的服務器？
數據分析引擎黑馬 ClickHouse 最新技術的實踐與應用
網易湖倉一體的探索與實踐
基於Doris的小程序用戶增長實踐
Apache Spark 3.1 中 Structured Streaming 方面的改進
猿輔導 x DorisDB：構建統一OLAP平台，全面升級數據分析能力
京東 HDFS EC 應用解密
Kafka 萬億級消息在 vivo 的實戰
秒級去重：ClickHouse在騰訊海量游戲營銷活動分析中的應用
百信銀行基於 Apache Hudi 實時數據湖演進方案
想要入門實時數倉無門路？這個阿里大神雲集的免費訓練營帶你飛！
京東OLAP實踐之路
從 Paxos 到 Raft，分布式一致性算法解析
一文理解 Spark 基礎概念及工作原理
一文掌握 ZooKeeper 的核心知識
HDFS 2.x 升級到 3.x 在車好多的實踐
OLAP 系統選型，選 Apache Kylin 還是 ClickHouse？
知乎的 Flink 數據集成平台建設實踐
貝殼 OLAP 平台架構及演進
列存數據庫僅僅需要列式存儲？
每個大數據工程師都應該知道的消息隊列演進
一文理解 Redis 的核心原理與技術
萬台 HDFS 集群規模在快手的挑戰與實踐