Integrate Vectice with your data platform
How to integrate Vectice with Data Platforms
Here are some examples of how to connect Vectice with the following Data Platforms. For more details, check our API cheatsheets for instructions on logging assets through these integrations.
from vectice import DatabricksTableResource
db_resource = DatabricksTableResource(
spark_client=spark,
paths="my_table",
)from vectice import BigQueryResource
bq_resource = BigQueryResource(
paths="bigquery-public-data.stackoverflow.posts_questions",
)from vectice import GCSResource
gcs_resource = GCSResource(
uris="gs://<bucket_name>/<file_path_inside_bucket>",
)from vectice import S3Resource
s3_resource = S3Resource(
uris="s3://<bucket_name>/<file_path_inside_bucket>",
)from vectice import SnowflakeResource, Dataset
connection_parameters = {
...
}
new_session = Session.builder.configs(connection_parameters).create()
sf_resource = SnowflakeResource(
snowflake_client=new_session,
paths="SNOWFLAKE_SAMPLE_DATA.TPCH_SF10.PART",
)from vectice import SparkTableResource
db_resource = SparkTableResource(
spark_client=spark,
paths="my_table",
)To learn more about the code wrappers, visit our API reference docs.