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.

Databricks

from vectice import DatabricksTableResource

db_resource = DatabricksTableResource(
    spark_client=spark,
    paths="my_table",
)

BigQuery

from vectice import BigQueryResource

bq_resource = BigQueryResource(
    paths="bigquery-public-data.stackoverflow.posts_questions",
)

GCS

from vectice import GCSResource

gcs_resource = GCSResource(
    uris="gs://<bucket_name>/<file_path_inside_bucket>",
)

S3

from vectice import S3Resource

s3_resource = S3Resource(
    uris="s3://<bucket_name>/<file_path_inside_bucket>",
)

Snowflake

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",
)

SparkTable

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.