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KC's Data & Life Notes

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About Me
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- Work Experience
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- 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
    
    Monitoring with Prometheus and Grafana
    
    Configure Catalogs
    
    Faker Connector
    
    Join Optimization
  - 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
- arXiv Analytics Platform
  arXiv Analytics Platform
- Trending Content Prediction
  Trending Content Prediction
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 Ch8 transactions
    On This Page
    
    Ch8 - Transactions
    
    Distributed 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
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On This Page

Ch8 - Transactions
- Distributed Transactions

DDIA

Ch8 transactions

Ch8 - Transactions¶

Distributed Transactions¶

GitHub

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