https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/Recent content in Redshift onHugo -- gohugo.ioSun, 11 Dec 2022 19:37:55 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_connection/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_connection/Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS). It is particularly useful for businesses and organizations that deal with vast amounts of data and need fast and scalable solutions for data storage and analysis. Establish a connection between Gathr and Redshift. Configure the necessary connection parameters to establish a secure and reliable connection to the Redshift database. When working with an application that uses Redshift as both a data source and target, ensure the following points are met:https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_ingestion_source/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_ingestion_source/The Redshift Ingestion Source connector enables users to ingest data from external sources into Amazon Redshift for storage and analysis. Data Source Configuration # Configure the data source parameters as explained below. Fetch From Source/Upload Data File # To design the application, you can either fetch the sample data from the Redshift source by providing the data source connection details or upload a sample data file in one of the supported formats to see the schema details during the application design phase.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_etl_source/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_etl_source/Redshift ETL Source connector enables you to extract data from Redshift tables. You can perform transformation operations on the extracted data and load the transformed data into other destinations for further processing or analysis. 👉 This is a batch component. Schema Type # See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources. After providing schema type details, the next step is to configure the data source.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_incremental_configuration/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_incremental_configuration/Enable Incremental Read # Use this method to fetch only the new or modified records instead of an entire data load. Define the conditions to control the incremental data load during application runtime. Column # A column should be selected that can act as a reference to identify changes in the data source from the last data movement. 💡 If upload data file option is used to design the application, enter a column name that can be set as a reference for incremental read during runtime.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_ingestion_target/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/redshift_ingestion_target/Write data from databases, data lakes, into Amazon Redshift as a target destination, and then perform complex analytical queries to gain insights into your data. Target Configuration # Configure the data emitter parameters as explained below. Fetch From Target/Upload Schema File # The data source records needs to be emitted to a Redshift target table. In case if the Gathr application has access to a target table in the Redshift database, choose the option Fetch From Target.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/advanced_redshift_etl_target/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/redshift/advanced_redshift_etl_target/Write data from databases, data lakes, into Amazon Redshift as a target destination, and then perform complex analytical queries to gain insights into your data. Redshift works for batch data sources. It uses S3 temp directory to unload data into Redshift database table. Target Configuration # Configure the data emitter parameters as explained below. Fetch From Target/Upload Schema File # The data source records needs to be emitted to a Redshift target table.