https://marsettler.com/tags/database/ Recent content in Database on Marsettler Hugo en-us Sun, 24 Nov 2024 21:47:49 +0900 https://marsettler.com/performance/olap-query-optimizer-and-performance/ Fri, 23 Feb 2024 00:00:00 +0000 https://marsettler.com/performance/olap-query-optimizer-and-performance/ <h1 id="olap-database-query-optimizer-and-performance">OLAP database query optimizer and performance</h1> <hr> <h2 id="olap-workloads">OLAP workloads</h2> <blockquote> <p>Online analytical processing, or OLAP, is an approach to answer multi-dimensional analytical queries swiftly in computing.</p> </blockquote> <p><a href="https://en.wikipedia.org/wiki/Online_analytical_processing">https://en.wikipedia.org/wiki/Online_analytical_processing</a></p> <hr> <h2 id="olap-vs-oltp-the-differences">OLAP VS. OLTP: THE DIFFERENCES</h2> <blockquote> <p>OLAP is used for complex data analysis, while OLTP is used for real-time processing of online transactions at scale.</p> </blockquote> <p><a href="https://www.snowflake.com/guides/olap-vs-oltp/">https://www.snowflake.com/guides/olap-vs-oltp/</a></p> <hr> <h2 id="luft-olap-database-for-airbridge">Luft: OLAP database for Airbridge</h2> <p><a href="https://engineering.ab180.co/stories/introducing-luft">https://engineering.ab180.co/stories/introducing-luft</a></p> <hr> <h2 id="airbridge-dashboard-demo">Airbridge dashboard demo</h2> <p>Let&rsquo;s take a look at what you&rsquo;d do if you implemented.</p> https://marsettler.com/analytics/how-to-do-cohort-analysis/ Mon, 03 Oct 2022 00:00:00 +0000 https://marsettler.com/analytics/how-to-do-cohort-analysis/ <h1 id="코호트-분석">코호트 분석</h1> <p>원하는 유저군(코호트)을 잡아서 해당 유저들의 행동을 분석하는 기법</p> <p>예: &ldquo;지난 6개월간 우리 앱에서 한달에 10만원 이상 소비한 30대 여성&quot;이란 유저군을 잡은 후, 해당 유저군의 리텐션 (재방문률)을 분석</p> <h1 id="분석방법">분석방법</h1> <ol> <li>Amplitude, Google Analytics 등의 외부 솔루션 사용 <ul> <li>장점: 개발 비용이 없음</li> <li>단점: <ul> <li>솔루션 비용 발생</li> <li>솔루션에 의존하게 됨</li> </ul> </li> </ul> </li> <li>RDB(OLTP) 사용 <ul> <li>장점: 익숙함</li> <li>단점: 일정 규모를 넘어가면 성능문제로 문제해결 불가능함</li> </ul> </li> <li>데이터 파이프라인을 구축(Snowflake, Apache Kafka 등 활용) <ul> <li>장점: 익숙함</li> <li>단점: 생각보다 많은 비용</li> </ul> </li> <li>코호트 분석용 OALP 데이터베이스를 직접 개발: <a href="https://engineering.ab180.co/stories/introducing-luft">https://engineering.ab180.co/stories/introducing-luft</a> <ul> <li>장점: 고성능의 입맛대로 동작하는 데이터베이스를 가질 수도 있음</li> <li>단점: 직접 개발해야 함</li> </ul> </li> </ol> https://marsettler.com/write-ahead-logging/ Mon, 10 Aug 2020 00:00:00 +0000 https://marsettler.com/write-ahead-logging/ <p>Write Ahead Logging(WAL)은 데이터베이스 시스템에서 ACID의 특성 가운데 원자성과 내구성을 제공하는 기술입니다.</p> https://marsettler.com/database/ Mon, 10 Aug 2020 00:00:00 +0000 https://marsettler.com/database/ <ul> <li><a href="https://marsettler.com/write-ahead-logging">Write Ahead Logging</a></li> <li><a href="https://www.vldb.org/">Very Large Data Bases Endowment Inc.</a></li> <li><a href="https://sigmod.org/">SIGMOD</a></li> <li><a href="https://ieee-icde.org/2025/">ICDE 2025</a></li> </ul>