This guide explains how to create External Locations in Databricks to read schemas and tables directly from your Incorta cluster. Overview Databricks' external locations allow you to access your Incorta data stored in Azure Data Lake Storage Gen2 wi...

This guide explains how to create shortcuts in Microsoft Fabric to read schemas and tables directly from your Incorta cluster, whether stored in Azure Data Lake Storage Gen2 or Google Cloud Storage. Overview Microsoft Fabric shortcuts allow you to a...

Overview Fabric provides two main data experiences: Warehouses: Traditional SQL-based data warehouses optimized for structured analytics and business intelligence workloadsLakehouses: Open data architecture that combines the flexibility of data lake...

Introduction Managing incremental data loads efficiently is crucial for keeping your data warehouse up-to-date without putting unnecessary strain on your data sources. Incorta has traditionally relied on a query-based approach using either the LAST_...

Introduction As data volumes grow, especially with the proliferation of sensors and IoT devices or long-term usage of Incorta, it's essential to manage the amount of data stored on disk effectively. Increasing data size can lead to storage issues an...