Rizki Sasri Dwitama
Datascience
  • Data Concepts
    • Data Analysis
      • Data Analysis: Syllabus
    • Data Engineering
      • Data Engineering: Syllabus
  • Data Sources
    • Cassandra
      • Cassandra: Syllabus
    • ChromaDB
      • ChromaDB: Syllabus
    • Milvus
      • Milvus: Syllabus
    • PostgreSQL
      • PostgreSQL: Syllabus
      • PostgeSQL: Introduction
      • PostgreSQL: Data Types and Table Management
      • PostgreSQL: Querying and Data Manipulation
      • PostgreSQL: Performance Optimization and Indexing
      • PostgreSQL: Transactions and Concurrency Control
      • PostgreSQL: Stored Procedures, Functions, and Triggers
      • PostgreSQL: Security and User Management
      • PostgreSQL: Backup, Recovery, and Replication in PostgreSQL
      • PostgreSQL: Hands-On Projects
    • PostgreSQL Programming
      • PL/pgSQL: Syllabus
    • PostgreSQL Client
      • PSQL: Syllabus
    • MongoDB
      • MongoDB: Syllabus
  • Data Processing
    • Airflow
      • Airflow: Syllabus
    • Spark
      • Spark: Syllabus
    • Kafka
      • Kafka - Syllabus
    • DBT
      • DBT: Syllabus
    • Greate Expectation
      • GX: Syllabus
    • Pandas
      • Pandas: Syllabus
      • Pandas: Introduction
      • Pandas: Working with Data Structures
      • Pandas: Data Cleaning and Preprocessing
      • Pandas: Data Transformation and Manipulation
      • Pandas: Time Series Analysis
      • Pandas: Data Visualization
      • Pandas: Performance Optimization
      • Pandas: Hands-on Projects
  • Data Warehouse
    • Delta Lake
      • Delta Lake: Syllabus
    • Iceberg
      • Iceberg: Syllabus
    • Minio
      • Minio: Syllabus
    • Trino
      • Trino: Syllabus
    • Nessie
      • Nessie: Syllabus
  • Data Governance
    • Atlas
      • Atlas: Syllabus
    • Keycloak
      • Keycloak: Syllabus
  • Data Monitoring
    • Grafana
      • Grafana: Syllabus
    • Open Telemetry
      • OpenTelemetry: Syllabus
    • Promotheus
      • Promotheus: Syllabus
  • Artificial Intelligence
    • Machine Learning
      • ML: Syllabus
      • ML: Introduction to Machine Learning
      • ML: Data Preprocessing and Feature Engineering
      • ML: Supervised Learning - Regression Models
      • ML: Supervised Learning - Classification Models
      • ML: Unsupervised Learning
      • ML: Neural Networks and Deep Learning
      • ML: Convolutional Neural Networks (CNNs) for Image Processing
      • ML: Natural Language Processing (NLP) and Transformers
      • ML: Reinforcement Learning
      • ML: Model Optimization and Hyperparameter Tuning
      • ML: Model Deployment and MLOps
      • Module 12: Time Series Forecasting
      • ML: Ethical AI and Responsible Machine Learning
      • ML: Hands-On Projects
      • ML Projects: Customer Churn Prediction
      • ML Projects: Image Classification with CNNs
      • ML Preojects: Sentiment Analysis with NLP
      • Sentiment Analysis with NLP
    • Large Language Models (LLMs)
      • LLMs: Syllabus
    • Deep Learning
      • Deep Learning: Syllabus
  • Infrastructure
    • Podman
      • Podman: Introduction
      • Podman: Fundamentals
      • Podman: Advanced Concepts
      • Podman: Building & Managing Container Images
      • Podman: Security Best Practices
      • Podman: Kubernetes Integration
      • Podman: Hands-On Projects
    • Kubernetes
      • K3S: Introduction to Kubernetes
      • K3S: Core Kubernetes Concepts
      • K3S: Deploying Applications
      • K3S: Storage Management
      • K3S: Networking and Service Discovery
      • K3S: Implement Security Best Practices
      • K3S: Monitoring & Logging
      • K3S: High Availability & Scaling
      • K3S: GitOps & CI/CD
      • K3S: Serverless & Edge Computing
      • K3S: Hands-On Projects
    • Jenkins
      • Jenkins: Introduction
      • Jenkins: Fundamentals
      • Jenkins: Pipelines and Jobs
      • Jenkins: Advanced Techniques
      • Jenkins: Administration and Security
      • Jenkins: Monitoring, Logging, and Maintenance
      • Jenkins: Advanced Concepts
      • Jenkins: Practical Implementation
    • Nginx
      • Nginx: Introduction
      • Nginx: Core Concepts and Configuration
      • Nginx: Advanced Configuration
      • Nginx: Reverse Proxy and Load Balancing
      • Nginx: Advanced Techniques
      • Nginx: Kubernetes Environments
      • Nginx: Troubleshooting and Maintenance
      • Nginx: Hands-On Projects
    • ArgoCD
      • ArgoCD: Introduction to GitOps
      • ArgoCD: Fundamentals
      • ArgoCD: Application Management
      • ArgoCD: Advanced Usage
      • ArgoCD: Security and Authentication
      • ArgoCD: Monitoring, Logging, and Troubleshooting
      • ArgoCD: Hands-On Projects
Rizki Sasri Dwitama
  • Docs
  • Blog
  • Data Science
  • Programming
  • Integrated Farming
  • GitHub

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Data Processing

Airflow: Syllabus →
DBT: Syllabus →
GX: Syllabus →
Kafka - Syllabus →
Pandas: Data Cleaning and Preprocessing →
Pandas: Data Transformation and Manipulation →
Pandas: Data Visualization →
Pandas: Hands-on Projects →
Pandas: Introduction →
Pandas: Performance Optimization →
Pandas: Syllabus →
Pandas: Time Series Analysis →
Pandas: Working With Data Structures →
Spark: Syllabus →
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