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KC's Data & Life Notes
GitHub
Home
Home
About Me
About Me
Work Experience
Work Experience
Public Speakings
Public Speakings
Side Projects
Side Projects
Fraud Detection (Data2ML Ops)
Fraud Detection (Data2ML Ops)
Prerequisites
dbt
dbt
Modeling Data
Feast
Feast
Modeling Features
Deploy Feast on Kubernetes
MinIO
MinIO
Deploy MinIO on Kubernetes
MLflow
MLflow
Deploy MLflow on Kubernetes
Track Hyperparameter Optimization with Optuna and MLflow
Ray
Ray
What, Why, When
How It Works?
In the Bigger Picture
Deploy Ray Cluster on Kubernetes Using KubeRay
Integrate Ray Tune with Optuna, Imblearn, MLflow and MinIO
Submit a Ray Tune Job to Your Ray Cluster
KServe
KServe
What, Why, When
How It Works?
In the Bigger Picture
Install Kserve in Serverless Mode
Deploy Your Model on Kubernetes
Move Feature Retrieval to KServe Transformer
Write a Custom KServe Transformer with Feast Integration
Deploy Your Model on Kubernetes with Feast Transformer
Others
Others
What Is Istio?
What Is Knative?
Retail Lakehouse
Retail Lakehouse
Prerequisites
Kafka
Kafka
Overview
Kafka Cluster Deployment
MySQL Deployment
Debezium MySQL Kafka Connector Deployment
Kafka Cluster Deployment
Trino
Trino
How It Works?
Trino Cluster Deployment
Configure OAuth 2.0 Authentication
Fault-tolerant Execution in Trino
Configure Catalogs
Faker Connector
Join Optimization
Observability
Observability
Overview
How Prometheus Works?
Prometheus Deployment
How Thanos Works?
Thanos Deployment
What is OpenTelemetry?
How OpenTelemetry Works?
OpenTelemetry Deployment
Monitoring with Prometheus and Grafana
Apache Iceberg - Spark Quickstart
Apache Iceberg - Spark Quickstart
Deployment
Getting Started
Integrated Audits Demo
Table Maintenance Spark Procedures
Write-Audit-Publish with Branches in Apache Iceberg
View Support
Unified SQL-based Data Pipelines
Unified SQL-based Data Pipelines
Amazon S3 BigLake External Table
Annotate Product Images
Analyze Visual Cues That Drive Purchases
RAG Applications
arXiv Analytics Platform
arXiv Analytics Platform
Trending Content Prediction
Trending Content Prediction
Exploratory Data Analysis (EDA)
Feature Engineering
Results and Discussion
Resampling
匯入相關套件
Learning Notes
Learning Notes
Spark
Spark
How Spark Works
Spark Performance Tuning
Learning Spark (2020)
Learning Spark (2020)
Ch1 & 2 Introduction to Spark
Ch3 Structured APIs
Ch7 Optimizing and Tuning Spark Applications
Iceberg
Iceberg
Best Practices for Optimizing Apache Iceberg Workloads in AWS
The Definitive Guide (2020)
The Definitive Guide (2020)
Ch4 Optimizing the Performance of Apache Iceberg
Deep Dive into Kafka Connect Icerberg Sink Connector
Migrate from Hive to Iceberg
Disaster Recovery with Apache Iceberg
Iceberg Resources
Apache Iceberg in Production: Insights from Netflix in 2023
Kafka
Kafka
Exactly Once Semantics in Kafka
Deep Dive into Kafka Connect Icerberg Sink Connector
Flink
Flink
How Flink Works
Airflow
Airflow
How Airflow Works?
Polaris
Polaris
Apache Polaris Policy
Apache Polaris Resources
DDIA
DDIA
Ch8 transactions
Hive
Hive
Hive Architecture
SQLMesh
SQLMesh
Comparisons: SQLMesh vs dbt Core
dbt
dbt
Streaming Processing
Streaming Processing
Streaming Processing Window Types
RisingWave
RisingWave
Treasure Data
Treasure Data
LeetCode
LeetCode
Restful APIs with Flask
Restful APIs with Flask
Basics
Advanced
Blog
Blog
Archive
Archive
2025
Categories
Categories
CI/CD
Data
MkDocs
Tags
Recaps
Recaps
August 2025
July 2025
June 2025
May 2025
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