Handbook Data Engineering

• Repositori yang mengumpulkan semua materi untuk menjadi data engineer
  • Kumpulan proyek/wawancara/buku/komunitas/newsletter
• Jika baru memulai, awali dengan membaca Roadmap Masuk ke Data Engineering 2024
• 3 buku yang wajib dibaca dan 25 buku utama
  • Fundamentals of Data Engineering
  • Designing Data-Intensive Applications
  • Designing Machine Learning Systems
• 5 komunitas yang wajib diikuti dan sekitar 10 komunitas utama lainnya
  • [DE] DataExpert.io Community Discord
  • [DE] Data Talks Club Slack
  • [DE] Data Engineer Things Community
  • [ML] AdalFlow Discord
  • [ML] Chip Huyen MLOps Discord
• Perusahaan teknologi dan blog terkait data engineering
  • Daftar perusahaan per kategori: Orchestration, Data Lake/Cloud, Warehouse, Data Quality, pendidikan, Analytics/Visualization, Data Integration, Modern OLAP, aplikasi LLM, data real-time
  • Blog: Netflix , Uber , Databricks , Airbnb , Amazon AWS Blog , Microsoft Data Architecture Blogs , Microsoft Fabric Blog , Oracle , Meta , Onehouse
• White paper data engineering
  • A Five-Layered Business Intelligence Architecture
  • Lakehouse:A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics
  • Big Data Quality: A Data Quality Profiling Model
  • The Data Lakehouse: Data Warehousing and More
  • Spark: Cluster Computing with Working Sets
  • The Google File System
  • Building a Universal Data Lakehouse
  • XTable in Action: Seamless Interoperability in Data Lakes
  • MapReduce: Simplified Data Processing on Large Clusters
• Akun media sosial dan podcast utama
• 4 newsletter yang wajib dilanggan serta lebih dari 20 newsletter lainnya
  • DataEngineer.io Newsletter
  • Joe Reis
  • Start Data Engineering
  • Data Engineering Weekly
• Berbagai kursus pembelajaran