Native integration opportunities

As a data consultancy, we help clients leverage Snowflake’s native integration capabilities like Snowpipe to streamline their data ingestion processes.

Our expertise enables us to design and implement efficient, automated data pipelines that bring data from various sources into Snowflake, reducing complexity and maximizing the platform’s built-in features.

Fit Snowflake into your existing technology investments

We help clients integrate Snowflake into their existing data ecosystems by designing hybrid architectures that leverage Snowflake’s cloud-native capabilities alongside legacy systems and emerging technologies.

We also develop custom connectors, data pipelines, and integration patterns that enable Snowflake to complement and enhance existing data workflows.

This work allows organizations to modernize their data infrastructure gradually while maximizing the value of their current investments.

You don’t need to load everything

We help clients harness Snowflake’s external table capability to query and analyze data stored outside of Snowflake, without fully loading it into the platform.

This approach allows organizations to maintain data in its original location while leveraging Snowflake’s powerful querying capabilities, providing flexibility and potentially reducing storage costs.

Share your data, don’t make copies everywhere

We help clients configure Snowflake’s data sharing capabilities to securely share live, governed data across their organization and with external partners without moving or duplicating datasets.

By implementing these features, clients maintain a single source of truth within their governed environment while granting controlled access to specific data subsets.

This eliminates risky data exports and ensures consistent, up-to-date information for all authorized users.

Automate your schema changes

We leverage Snowflake’s schema detection capabilities to proactively identify and address potential data schema changes before they cause business disruptions.

We also implement automated monitoring and alerting systems based on Snowflake’s schema detection. This notifies clients of schema variations in real-time, allowing swift corrective actions and minimizing the risk of data outages from unexpected schema modifications.

Native Processing and CDC

Our data consultancy helps clients harness Snowflake’s Streams and Tasks capabilities to automate data processing workflows and enable real-time data updates.

We implement change data capture (CDC) using Streams, automatically detecting and capturing data changes. This triggers Tasks to perform actions like data transformations or updates, streamlining data pipeline processes and ensuring data freshness.