• airflow 3
• algorithm 3
• database 6
• datascience 1
• dbt 1
• git 1
• hadoop 14
• kubernetes 5
• linux 2
• python 6
• retrospect 1
• scala 8
• spring 5

AIRFLOW

• KubernetesPodOperator에서 ApiException(400)가 발생하는 원인
• Variables & Dag Parsing
• What is Airflow?

ALGORITHM

• Softeer 거리 합 구하기
• 누적 합(Prefix Sum)
• Knuth–Morris–Pratt algorithm, KMP

DATABASE

• MySQL Index 개념 정리
• prepared statement
• Oracle DB Connection String
• DataBase Connection Pool
• EXP-SUM-LOG / LOG-SUM-EXP
• Connection to DataBase in Python, R

DATASCIENCE

• Gaussian Kernel

DBT

• Running Models in Parallel with dbt-trino

GIT

• merge vs. rebase

HADOOP

• HDFS와 S3 비교하기
• Salting in Spark
• non-deterministic UDF
• WITH절/VIEW 사용 시 쿼리 플랜에 대해서
• enableHiveSupport
• Parquet and Predicate PushDown
• repartition in Spark
• Partition, Spill in Spark
• hadoop distcp
• Overwrite Partition in Spark
• Melt in Pyspark
• Merge Files in HDFS
• Bucket in Hive, Spark
• CREATE Statement in Hive

KUBERNETES

• Kubernetes Service Type
• KubernetesPodOperator에서 ApiException(400)가 발생하는 원인
• ConfigMap과 Secret의 차이점
• multi-stage와 Builder Pattern
• Pod와 Container

LINUX

• Load Average란?(chatGPT로 알아보기)
• Linux 사용자 관리, 파일속성 그리고, 특수권한

PYTHON

• FastAPI 내부 구조, 의존성 주입, Celery
• Sharing Avro Schema to Python
• jaydebeapi - Class not found Error
• 변수를 전달하는 decorator
• Threading in Python
• AWS S3와 zip 파일

RETROSPECT

• 나의 첫 컨트리뷰션(Retrospect on my first contribution)

SCALA

• Learning Apache Spark 3 with Scala (Section8)
• Learning Apache Spark 3 with Scala (Section7)
• Learning Apache Spark 3 with Scala (Section6)
• Learning Apache Spark 3 with Scala (Section5)
• Learning Apache Spark 3 with Scala (Section4)
• Learning Apache Spark 3 with Scala (Section3)
• Learning Apache Spark 3 with Scala (Scala Basic)
• Learning Apache Spark 3 with Scala (Section1)

SPRING

• Spring Dependency Injection, Component Scan
• Spring Singleton Container
• Spring Bean 정의하기
• Spring Bean 조회하기
• DIP(Dependency Inversion Principle),의존관계 역전 원칙