From 0eb1c5c25bacc972c57b99be73c324efc25c5398 Mon Sep 17 00:00:00 2001 From: Jaewan Park Date: Sat, 29 Jun 2024 13:11:16 +0900 Subject: [PATCH] Update a OLAP database query optimizer and performance --- .../olap-query-optimizer-and-performance.md | 31 ++++++++++--------- 1 file changed, 16 insertions(+), 15 deletions(-) diff --git a/content/performance/olap-query-optimizer-and-performance.md b/content/performance/olap-query-optimizer-and-performance.md index 8c20e26..7f1b4b3 100644 --- a/content/performance/olap-query-optimizer-and-performance.md +++ b/content/performance/olap-query-optimizer-and-performance.md @@ -18,14 +18,6 @@ https://en.wikipedia.org/wiki/Online_analytical_processing --- -### Key words - -- multi-dimensional -- analytical -- swiftly - ---- - ## OLAP VS. OLTP: THE DIFFERENCES > OLAP is used for complex data analysis, while OLTP is used for real-time processing of online transactions at scale. @@ -44,8 +36,8 @@ https://engineering.ab180.co/stories/introducing-luft Let's take a look at what you'd do if you implemented. -1. Funnel -2. Retention +1. Retention +2. Funnel --- @@ -66,15 +58,24 @@ https://marsettler.com/go/c++-to-go/ --- -## Luft 성능 리포트 2: 더 많은 코호트에 대한 리텐션 집계 +## 오늘 할 이야기 -https://engineering.ab180.co/stories/luft-performance-report-2 +- Luft 성능 리포트 2: 더 많은 코호트에 대한 리텐션 집계 +- 제안서: Luft 의 대형 쿼리 처리에 관하여 +- AWS Lambda 를 활용한 Luft 스케일링 --- -## 제안서: Luft 의 대형 쿼리 처리에 관하여 +## [Luft 성능 리포트 2: 더 많은 코호트에 대한 리텐션 집계](https://engineering.ab180.co/stories/luft-performance-report-2) + + +--- + +## [제안서: Luft 의 대형 쿼리 처리에 관하여](https://engineering.ab180.co/stories/luft-query-optimizer-and-scale) + +--- -https://engineering.ab180.co/stories/luft-query-optimizer-and-scale +## [AWS Lambda 를 활용한 Luft 스케일링](https://engineering.ab180.co/stories/luft-task-executor-with-aws-lambda) --- @@ -86,6 +87,6 @@ https://engineering.ab180.co/stories/luft-query-optimizer-and-scale - [Luft: 유저 행동 분석에 최적화된 OLAP 데이터베이스](https://engineering.ab180.co/stories/introducing-luft) - [C++ to Go: Introducing Ziegel](https://marsettler.com/go/c++-to-go/) -- [gRPC 101 간단하고 빠르게 게임서버 만들기](https://marsettler.com/distributed-system/grpc/) - [Luft 성능 리포트 2: 더 많은 코호트에 대한 리텐션 집계](https://engineering.ab180.co/stories/luft-performance-report-2) - [제안서: Luft 의 대형 쿼리 처리에 관하여](https://engineering.ab180.co/stories/luft-query-optimizer-and-scale) +- [AWS Lambda 를 활용한 Luft 스케일링](https://engineering.ab180.co/stories/luft-task-executor-with-aws-lambda)