Connect to Snowflake

What is Snowflake Data Warehouse?

Snowflake is a cloud based data platform-as-a-service platform. It offers a complete data analytics service which covers the entire spectrum from storage to delivery. Its data platform is specifically built for the cloud and its architecture is designed to scale to meet any workload while allowing the user to pay only for what they use. The cloud, storage and compute service layers can be scales independently of each other, providing a flexible way to manage and scale resources. Metadata is created automatically and runs concurrent to compute tasks, enabling easy metadata mangement.

Extract Data From Snowflake

Loome makes it simple to connect to Snowflake and extract data for downstream systems such as an Integration Hub, Reporting Data Store, Data Lake or Enterprise Data Warehouse. In-built features allow bulk selection of all source tables/files to be automatically synced on a regular schedule, minimising data load size leveraging incremental logic.

Load Data into Snowflake

Loome allows you to quickly onboard your data to the cloud and load your entire data source into Snowflake to support your Data Integration Hub, Reporting Data Store, Data Lake or Enterprise Data Warehouse.

Loome automatically generates target staging table structures, including automatic change detection to retain a full audit history of each version of a record received.

Natively Orchestrate Snowflake Integration Tasks

Loome allows orchestration of data pipelines across data engineering, data science and high performance computing workloads with native integration of Snowflake data pipeline tasks.

Loome provides a sophisticated workbench for configuration of job and task dependencies, scheduling, detailed logging, automated notifications and API access for dynamic task creation and execution.

Loome can execute tasks located as scripts in a GIT repository, entered via a web interface or by executing operations within a database. Loome includes support for native execution of SQL, Python, Spark, HIVE, PowerShell/PowerShell Core and Operating System commands.

Loome also simplifies control of deployment across multiple environments, and approval of changes between Development, Test and Production environments. Loome also allows you to scale your advanced pipelines to take advantage of on-demand clusters without changing a single line of code.

Data Quality Hub in Snowflake

Loome allows you to easily monitor Data Quality exceptions reinforcing Snowflake as your strategic Data Quality Hub.

Loome keeps an audit trail of resolved issues, and proactively manages data quality with a fully automated data quality engine generating audience targeted alerts in real-time.