Automate Azure Data Lake Storage File Transfers Without Scripts
Move files to and from Azure Data Lake Storage as part of secure, automated and governed file workflows.
What the Azure Data Lake Storage Integration Enables
Azure Data Lake Storage is often used as a centralized destination for analytics, reporting, AI/ML pipelines and large-scale data processing. But getting files into and out of the data lake can still depend on brittle scripts, manual uploads or disconnected tools. With Progress® Automate MFT, teams can create reusable Azure Data Lake Storage endpoints and use them in no-code file transfer workflows.
Typical outcomes:
- Standardizes how files move into analytics environments
- Connects the data lake to the rest of the business
- Orchestrates repeatable workflows without scripting
- Keeps file transfers observable and audit-ready
Typical Azure Data Lake Storage File Transfer Workflows
Data Ingestion for Analytics
Move reports, logs, batch files, extracts, claims, transaction files or operational data into Azure Data Lake Storage for analytics and downstream processing.
Hybrid-to-Cloud File Movement
Transfer files from local directories, network shares, SFTP/FTPS servers or partner endpoints into Azure Data Lake Storage without building and maintaining custom scripts.
AI and Machine Learning Data Preparation
Move data sets, model inputs, exports or recurring training files into Azure Data Lake Storage to support analytics and AI workflows.
How Automate MFT Works with Azure Data Lake Storage
See Azure Data Lake Storage file transfer automation live:
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Ready to automate secure file transfer with Azure Data Lake Storage?
