Introduction to Snowflake Bulk Loading and Real-Time Streaming with Lyftrondata

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Snowflake integration was taken very seriously in Lyftrondata to overcome the limitations of traditional ETL / ELT tools that put flat files on a local hard drive before transferring them to Snowflake. Such a solution requires additional storage space for loading data and adds additional delays to the data pipeline.

Snowflake integration was taken very seriously in Lyftrondata to overcome the limitations of traditional ETL / ELT tools that put flat files on a local hard drive before transferring them to Snowflake. Such a solution requires additional storage space for loading data and adds additional delays to the data pipeline.

Lyftrondata takes a unique approach to loading data into the Snowflake Data Warehouse, using the new data streaming API available in Snowflake. Data will be out of the data source is loaded, data transformations are applied immediately as SQL expressions and the transformed data is transmitted directly to Snowflake. The data is loaded without delays and without having to manage storage space for temporary files.

In addition, Lyftrondata can move the selected SQL transformation directly into data sources for the to reduce the amount of data transferred.

Snowflake customers can use Lyftrondata’s native Snowflake migration and modernization solutions to dramatically simplify and reduce access times. Simply log into Lyftrondata, select the data to be transferred to Snowflake, and plan the pipeline.

The setup should only take a few minutes and you can try Lyftrondata free of charge for 1 month without obligation.

For more information you can always contact us

E-Mail an [email protected] senden oder uns unter 855-Lyftrondata Lyftrondata connects the dots for faster insights.

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