https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/Recent content in Impala onHugo -- gohugo.ioSun, 11 Dec 2022 19:37:55 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-connection/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-connection/💡 Impala is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Impala connector. Impala is an open-source, high-performance SQL query engine for processing data stored in Apache Hadoop. This topic describes how to authenticate to Impala and configure any necessary connection properties in the Impala connection connector. Connection Configuration # Each connection property available in the Impala connector is explained below.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-ingestion-source/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-ingestion-source/💡 Impala is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Impala connector. In Gathr, it can be added as a channel to help in fetching customers’ and prospects’ data and transform it as needed before storing it in a desired data warehouse to run further analytics. Data Source Configuration # Configure the data source parameters as explained below.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-etl-source/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-etl-source/💡 Impala is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Impala connector. In Gathr, it can be added as a channel to help in fetching customers’ and prospects’ data and transform it as needed before storing it in a desired data warehouse to run further analytics. Schema Type # See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-ingestion-target/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-ingestion-target/💡 Impala is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Impala connector. Impala Ingestion Target allows you to emit the transformed data into your Impala accounts. Target Configuration # Configure the data emitter parameters as explained below. Connection Name # Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Impala earlier.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-etl-target/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-etl-target/💡 Impala is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Impala connector. Impala ETL Target allows you to emit the transformed data into your Impala accounts. Target Configuration # Configure the data emitter parameters as explained below. Connection Name # Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Impala earlier.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-incremental-configuration/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/impala/impala-incremental-configuration/💡 Impala is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Impala connector. 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.