Setup the Matatika platform to deliver and process your data in IOMETE in minutes.
IOMETE is not a known company, software, service or tool.
The username used to connect to the IOMETE API.
The prefix to add to the S3 key when writing data to S3.
Whether a primary key is required for the data being written to the API.
Whether to validate records before writing them to the API.
Whether to perform a hard delete when deleting data from the API.
The AWS secret access key used to connect to S3.
The maximum level of data flattening to perform when writing data to the API.
The maximum number of seconds to wait for a batch to complete before timing out.
The account number associated with the AWS credentials used to connect to S3.
Whether to add metadata columns to the data being written to the API.
The default schema to use when writing data to the API.
Whether to flush all streams when writing data to the API.
Whether to use the lakehouse feature when writing data to the API.
The level of parallelism to use when writing data to the API.
The URL of the S3 endpoint to connect to.
The name of the S3 bucket to write data to.
The AWS session token used to connect to S3.
The AWS profile to use when connecting to S3.
Whether to disable compression when writing data to the API.
The maximum level of parallelism to use when writing data to the API.
The number of rows to include in each batch when writing data to the API.
The directory to use for temporary files when writing data to the API.
The AWS access key ID used to connect to S3.
The password associated with the username used to connect to the IOMETE API.
The mapping between the source schema and the target schema when writing data to the API.
The access control list to use when writing data to the S3 bucket.
The name of the AWS region where the S3 bucket is located.
Collect and process data from 100s of sources and tools with IOMETE.