Automate Data Integration from ADLS Gen2 to Snowflake using TASK

✨In this end to end data engineering episode, you will learn how to implement automated data integration in Snowflake using TASK. You will learn how to: ✔ Create Azure Data Lake Storage Gen 2. ✔ Create Contain, directory and load files. ✔ In Snowflake, Create Warehouse, Database, Schema and use Schema ✔ Create table in using the schema. ✔ Create storage integration to establish connection to the external Azure Data Lake Gen 2 storage for data access. ✔ Describe the storage Integration to verify if the configuration is accurate. ✔ Use database to set the proper context for creating and accessing objects. ✔ Create stage to access all the files in the ADLS Gen2 container. ✔ Create file format for CSV files to interpret the structure of the CSV files. ✔ List files in the stage to verify access. ✔ Query the stage to preview the data ✔ Manually load existing files into Snowflake table. ✔ Verify the loaded data. ✔ Create task to automate data loading of future files into Snowflake table. ✔ Activate task to enable automated data loading. ✔ Query table by performing Sales by Year transformation. ✔ Load more data into the ADLS Gen 2 container. ✔ Monitor the Snowflake TASK. #dataengineering #snowflake #clouddataengineering #cloudcomputing #clouddataengineering #clouddata #sql