Bring your legacy data into Snowflake – without a rewrite
The Challenge
Legacy systems power critical operations – but they don’t integrate easily with modern cloud infrastructure like Snowflake. IT and data teams waste hours manually exporting, cleaning, and uploading data.
Broken or inconsistent flat file exports
Stop wrestling with brittle export scripts and custom macros. If your critical data is locked in legacy systems, CSVs, or proprietary flat files, Alice provides an AI-powered solution to automatically clean, normalize, and transform inconsistent formats directly into Snowflake-ready tables. Guarantee data quality and fidelity without the maintenance overhead.
Delayed insights from batch jobs
Delayed insights are a direct cost of reliance on outdated batch processing. Achieve true data agility by transforming sluggish ETL pipelines into real-time data ingestion. Alice automates continuous transformation and delivery, ensuring your data warehouse and analysts are always working with the freshest data in Snowflake, unlocking faster decision-making.
Lack of a governed pipeline to feed Snowflake
Manual, file-based data movements destroy data governance and complicate compliance. Implement a centralized, auditable pipeline that tracks every data movement and transformation into Snowflake. Alice ensures you have a clear history and comprehensive lineage, simplifying compliance efforts and scaling your data volume securely.
High IT Overhead for Maintenance
Time is wasted on managing brittle export scripts, custom macros, and debugging failed batch jobs.
Missing Auditability and Governance
The lack of a clear, centralized history for when and how data was moved complicates compliance efforts.
Inability to Scale Data Volume
File-based manual processes become infeasible as data exports grow in size or frequency.
You want modern visibility – but don’t want to rewrite your LOB app just to get there.
What Alice Does
(for Snowflake)
Connects directly to legacy data files
Cleans and
transforms data
Schedules jobs to export clean data to Snowflake Staging Areas
Automates COPY INTO jobs from object storage
Handles retries, monitoring, and full sync job history
Schema Drift Management
Automatically detect changes in the source file structure and provide alerts or tools to quickly update transformation rules.
Centralized Job Monitoring & Logging
A dedicated dashboard to view the real-time status, performance, and full history of all ingestion pipelines.
Object Storage Agnostic
Fully supports loading from major cloud staging areas, including AWS S3, Azure Blob Storage, and GCP Cloud Storage.
Alice provides the missing link between file-based systems and your cloud data warehouse.
How It Works
Securely Connect Your Legacy Source
Alice bypasses manual exports by connecting directly to file-based systems.
- Directly ingest data from sources like Microsoft Access (.mdb), FoxPro (.dbf), and various flat files (.csv).
- Establish a secure, persistent connection that monitors the source for updates.
Map, Clean, and Configure Transformation
Use the Alice interface to define how your legacy data should look in Snowflake.
- Perform field mapping to rename and select columns for sync.
- Enforce data types (e.g., string to date, number to integer) to ensure Snowflake compatibility and data integrity.
- Specify the Cloud Staging Area (S3, Azure Blob, or GCP) as your secure export destination.
Automate the Monitored Data Pipeline
Once configured, Alice runs the ingestion process automatically based on your schedule.
- Schedule Syncs at your preferred frequency (hourly, daily, or on-demand).
- Alice automatically exports the clean data, pushes it to the staging area, and executes the Snowflake COPY INTO command to load the data.
- Full Sync Job History and monitoring ensure auditable, repeatable results every time.
A logistics firm used Access to track warehouse movement and emailed CSVs nightly. With Alice, those files are normalized and loaded directly into Snowflake every 6 hours – powering dashboards and alerts in near real-time.
Why This Matters
Snowflake thrives on consistent, structured data
Alice lets you plug in legacy systems without a rewrite
We are moving from nightly exports to scheduled, automated syncs accelerates your business intelligence and decision-making.
You reduce ETL complexity and eliminate manual steps
Your data warehouse gets the data it needs - automatically
Reallocate Developer Time by freeing up IT and Data Engineers
What You Get
Retire fragile
Access/Excel pipelines
Avoid manual uploads or broken macros
Load .csv data into Snowflake without building custom ETL
Add observability and scheduling to your ingestion process
Schedule a Free Demo
See how Alice and AI can help your business grow.