From 6a377f79238b3b90c6890ed02ac40be6934b433e Mon Sep 17 00:00:00 2001 From: Gabor Szarnyas Date: Sat, 2 Mar 2024 21:49:57 +0100 Subject: [PATCH] Fix linter errors --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 2c2d163..24835a4 100644 --- a/README.md +++ b/README.md @@ -115,9 +115,9 @@ - [data load tool - DuckDB destination](https://dlthub.com/docs/dlt-ecosystem/destinations/duckdb) - Extract and load data from APIs to DuckDB using dlt. - [target-duckdb](https://hub.meltano.com/loaders/target-duckdb/) - Load data to DuckDB based on Singer spec. - [Airbyte DuckDB destination](https://docs.airbyte.com/integrations/destinations/duckdb/) - Load data to DuckDB with Airbyte. -- [Kestra DuckDB plugin](https://kestra.io/plugins/plugin-jdbc-duckdb) — Run queries with DuckDB to schedule data transformations and process automations, and run event-driven anomaly detection pipelines. +- [Kestra DuckDB plugin](https://kestra.io/plugins/plugin-jdbc-duckdb) - Run queries with DuckDB to schedule data transformations and process automations, and run event-driven anomaly detection pipelines. - [Arrow Flight SQL Server](https://github.com/voltrondata/flight-sql-server-example) - An example implementation of the [Arrow Flight SQL protocol](https://arrow.apache.org/docs/format/FlightSql.html) what runs in a client-server setup with DuckDB or SQLite as backends. -- [SQLFlow](https://github.com/turbolytics/sql-flow): Enables SQL-based stream-processing, powered by DuckDB. +- [SQLFlow](https://github.com/turbolytics/sql-flow) - Enables SQL-based stream-processing, powered by DuckDB. ## Extensions @@ -168,8 +168,8 @@ ### Blog Posts - [Modern Data Stack in a Box](https://duckdb.org/2022/10/12/modern-data-stack-in-a-box.html) - Fast, free, and open-source Modern Data Stack deployed on a laptop using the combination of DuckDB, Meltano, dbt, and Apache Superset. -- [How to use DuckDB, Motherduck and Kestra for ETL](https://motherduck.com/blog/motherduck-kestra-etl-pipelines/) - how DuckDB can transform data, mask sensitive PII information, detect anomalies in event-driven workflows, and streamline reporting use cases. -- [DuckDB vs. MotherDuck — how do they compare](https://kestra.io/blogs/2023-07-28-duckdb-vs-motherduck) - what are key differences between them, and when to choose each of these options. +- [How to use DuckDB, Motherduck and Kestra for ETL](https://motherduck.com/blog/motherduck-kestra-etl-pipelines/) - How DuckDB can transform data, mask sensitive PII information, detect anomalies in event-driven workflows, and streamline reporting use cases. +- [DuckDB vs. MotherDuck — how do they compare](https://kestra.io/blogs/2023-07-28-duckdb-vs-motherduck) - What are key differences between them, and when to choose each of these options. ## Contribute