columnar-cookbook/registry.json at main · columnar-tech/columnar-cookbook · GitHub

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[
  {
    "title": "Connect to MySQL with ADBC in Python",
    "path": "notebooks/connect-to-mysql-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to MySQL from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to MariaDB with ADBC in Python",
    "path": "notebooks/connect-to-mariadb-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to MariaDB from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to TiDB with ADBC in Python",
    "path": "notebooks/connect-to-tidb-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to TiDB from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to PostgreSQL with ADBC in Python",
    "path": "notebooks/connect-to-postgresql-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to PostgreSQL from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to Citus with ADBC in Python",
    "path": "notebooks/connect-to-citus-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to Citus from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to ParadeDB with ADBC in Python",
    "path": "notebooks/connect-to-paradedb-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to ParadeDB from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to TimescaleDB with ADBC in Python",
    "path": "notebooks/connect-to-timescaledb-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to TimescaleDB from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to DuckDB with ADBC in Python",
    "path": "notebooks/connect-to-duckdb-with-adbc-in-python.ipynb",
    "date": "2026-03-09",
    "authors": ["emil-sadek"],
    "description": "Connect to DuckDB from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Fast PostgreSQL Data Loading with dlt and ADBC",
    "path": "notebooks/fast-postgresql-data-loading-with-dlt-and-adbc.ipynb",
    "date": "2026-03-10",
    "authors": ["emil-sadek"],
    "description": "Load data into PostgreSQL up to 100x faster using dlt with Parquet and ADBC for high-performance bulk ingestion.",
    "categories": ["Data Loading"]
  },
  {
    "title": "Fast MySQL Data Loading with dlt and ADBC",
    "path": "notebooks/fast-mysql-data-loading-with-dlt-and-adbc.ipynb",
    "date": "2026-03-10",
    "authors": ["emil-sadek"],
    "description": "Load data into MySQL up to 100x faster using dlt with Parquet and ADBC for high-performance bulk ingestion.",
    "categories": ["Data Loading"]
  },
  {
    "title": "Ingest Parquet Data into MariaDB with ADBC",
    "path": "notebooks/ingest-parquet-data-into-mariadb-with-adbc.ipynb",
    "date": "2026-03-12",
    "authors": ["emil-sadek"],
    "description": "Ingest Parquet files into MariaDB efficiently using ADBC and Apache Arrow for fast columnar bulk ingestion.",
    "categories": ["Data Loading"]
  },
  {
    "title": "Connect to ClickHouse with ADBC in Python",
    "path": "notebooks/connect-to-clickhouse-with-adbc-in-python.ipynb",
    "date": "2026-03-24",
    "authors": ["emil-sadek"],
    "description": "Connect to ClickHouse from Python using ADBC and Apache Arrow for efficient columnar data access and queries.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Connect to DuckLake with ADBC in Python",
    "path": "notebooks/connect-to-ducklake-with-adbc-in-python.ipynb",
    "date": "2026-03-25",
    "authors": ["emil-sadek"],
    "description": "Connect to DuckLake from Python using ADBC and Apache Arrow for efficient columnar data access, queries, and bulk ingestion.",
    "categories": ["Database Connections"]
  },
  {
    "title": "Exploratory Data Analysis with PyArrow",
    "path": "notebooks/exploratory-data-analysis-with-pyarrow.ipynb",
    "date": "2026-03-31",
    "authors": ["emil-sadek"],
    "description": "Perform exploratory data analysis on the Palmer Penguins dataset using PyArrow compute functions for efficient columnar data processing.",
    "categories": ["Data Analysis"]
  },
  {
    "title": "Reduce Data Size with Arrow IPC Encodings and Compression",
    "path": "notebooks/reduce-data-size-with-arrow-ipc-encodings-and-compression.ipynb",
    "date": "2026-04-07",
    "authors": ["ian-cook"],
    "description": "Convert a CSV file into a compact Arrow IPC file using run-end encoding, dictionary encoding, and zstd compression to dramatically reduce file size.",
    "categories": ["Data Processing"]
  },
  {
    "title": "Vortex and ADBC Integration",
    "path": "notebooks/vortex-and-adbc-integration.ipynb",
    "date": "2026-04-10",
    "authors": ["emil-sadek"],
    "description": "Read and write Vortex files using ADBC and Apache Arrow for efficient columnar data exchange with databases.",
    "categories": ["Data Processing"]
  },
  {
    "title": "Use ADBC Connection Profiles in Python",
    "path": "notebooks/use-adbc-connection-profiles-in-python.ipynb",
    "date": "2026-04-15",
    "authors": ["ian-cook"],
    "description": "Define reusable, named connection configurations in TOML files and use them to connect to databases with ADBC, just like ODBC DSNs.",
    "categories": ["Database Connections"]
  }
]