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Ingestion

Using familiar SQL syntax, you can create an ingestion job to read your data and write it into a staging table, or directly into a supported target. Upsolver ingestion jobs can automatically infer the schema, and populate the column names and types in the table.
Before ingesting your data, ensure that you have a connection to read from your data source. You will also need a metastore connection and corresponding cloud storage location for your staging table or a connection to your target system.
Ingestion Job Basics
Ingest to a Staging Table Learn how to copy data from Amazon S3 into a staging table in the data lake.
Output to a Target Table Discover how to create a transformation job to copy data from a staging to a target table in the data lake.
Stream and File Sources
Amazon Kinesis Find how to ingest data from an Amazon Kinesis stream into a staging table in the data lake or directly to the target.
Amazon S3 Learn how to ingest your data from Amazon S3 into a staging table in the data lake or directly to the target.
Apache Kafka Discover how to ingest your data from Apache Kafka into a staging table in the data lake or directly to the target.
Confluent Kafka Learn how to ingest data from your Confluent Kafka source into the data lake or directly to the target.
CDC Sources
Microsoft SQL Server Discover how to ingest data from Microsoft SQL Server into a staging table in the data lake.
MongoDB Learn how to ingest data from MongoDB into a staging table in the data lake.
MySQL Find out how to ingest from MySQL into a staging table in the data lake.
PostgreSQL Learn how to copy data from PostgreSQL into a staging table in the data lake.
Last modified 30d ago