在 Databricks Runtime 11.3 LTS 及更高版本中可用。默认值: false(true 的COPY INTO) modifiedAfter类型:Timestamp String,例如 2021-01-01 00:00:00.000000 UTC+0一个可选时间戳,指示引入其修改时间戳晚于所提供的时间戳的文件。默认值: 无 modifiedBefore类型:Timestamp String,例如 2021-01-01 00:00:...
/* The following example applies to Databricks Runtime 11.3 LTS and above. */DROPTABLEIFEXISTSsnowflake_table;CREATETABLEsnowflake_tableUSINGsnowflake OPTIONS ( host'<hostname>', port'<port>',/* Optional - will use default port 443 if not specified. */user'<username>',password'<password>...
PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis - pygwalker/README.md at main · aristo-ai/pygwalker
It can be used to format SQL or translate between 21 different dialects like DuckDB, Presto / Trino, Spark / Databricks, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects. It is a very ...
/* The following example applies to Databricks Runtime 11.3 LTS and above. */DROPTABLEIFEXISTSsnowflake_table;CREATETABLEsnowflake_tableUSINGsnowflake OPTIONS ( host'<hostname>', port'<port>',/* Optional - will use default port 443 if not specified. */user'<username>',password'<password>...
/* The following example applies to Databricks Runtime 11.3 LTS and above. */DROPTABLEIFEXISTSsnowflake_table;CREATETABLEsnowflake_tableUSINGsnowflake OPTIONS ( host'<hostname>', port'<port>',/* Optional - will use default port 443 if not specified. */user'<username>',password'<password>...
cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of ...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis - pygwalker/README.md at main · joe-xue/pygwalker
It can be used to format SQL or translate between 21 different dialects like DuckDB, Presto / Trino, Spark / Databricks, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects. It is a very ...
10 minutes to pandas (https://pandas.pydata.org/pandas-docs/stable/user_guide/) XGBoost (https://xgboost.readthedocs.io/en/latest/index.html) XGBoost - Notes on Parameter Tuning (https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html) Kaggle (https://www.kaggle.com/learn) Th...