One-click data pipelines for Leat to Microsoft Fabric DWH
Easily sync data from Leat to Microsoft Fabric DWH, explore your data with the rich Data Explorer and transform your Leat data with SQL.
- 5-minute setup
- GDPR compliant, EU-hosted
- SOC 2 Type II certified
Leat to Microsoft Fabric DWH, end to end
Leat
Leat holds business data that teams need alongside the rest of their stack, whether that is customer records, transactions, documents or activity logs. Pulling it out for reporting normally means custom API scripts or one-off integration work. Peliqan provides a managed Leat connector that syncs it into your warehouse automatically, with incremental updates and schema changes handled for you.
Microsoft Fabric DWH
Microsoft Fabric DWH is the warehouse component of Microsoft Fabric, giving you T-SQL analytics over data held in OneLake with direct Power BI integration. Loading business application data into it usually means building Data Factory pipelines and maintaining them as source schemas change. Peliqan replaces that work with managed connectors that load Fabric directly, with incremental syncs and automatic schema evolution.
Common Leat to Microsoft Fabric DWH use cases
Instant ELT pipeline & data warehouse loading
Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.
Direct-to-warehouse sync
Sync Leat data into Microsoft Fabric DWH in a few clicks. Want another target? Point the same pipeline at Peliqan’s built-in warehouse or any database you run.
One-click pipeline setup
Set up a production-ready ELT pipeline in just minutes. Leat data lands in Microsoft Fabric DWH with schema detection, incremental syncs from every 15 minutes.
AI-driven data management
Transform Leat data in Microsoft Fabric DWH using SQL or low-code Python. Describe the logic in plain English, let AI draft it, then clean, validate and enrich.
Multi-source integration
Combine Leat with any of Peliqan’s 300+ connectors inside Microsoft Fabric DWH. Build unified data sets for analytics, reporting and AI in one place, not five tools.
Python & SQL processing
Write your own Python or SQL when you need control. Schedule scripts, enforce business rules and publish Streamlit data apps on Leat data in Microsoft Fabric DWH.
Reverse ETL & orchestration
Push enriched Microsoft Fabric DWH data back into the apps your teams use, then run the whole flow on a schedule with built-in orchestration, dependencies and alerts.
How to connect Leat and Microsoft Fabric DWH
1. Connect in 30 Seconds
Authenticate your source (Leat)
via OAuth or API key – no complex setup.
2. Data Flows Automatically
Your data appears in the Peliqan data warehouse with automatic schema detection and optimization for analytics.
Or bring your own data warehouse (Snowflake, Redshift, Bigquery, Clickhouse, Fabric).
3. Query & Analyze
Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.
4. Activate Insights
Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.
5. Enable AI Agents
Turn on AI Agents (RAG and text-to-SQL) to answer business queries, generate SQL, or trigger downstream actions (e.g., create a CRM task).
Beyond simple sync
A cloud data platform designed for the systems and workflows modern data and business teams use every day.
Incremental pipelines
Efficiently sync only new & changed records from Leat to Microsoft Fabric DWH using incremental loading strategies.
Schema evolution management
Automatically handle schema changes in Leat – new fields, renamed columns, and type changes are detected and propagated to Microsoft Fabric DWH.
Data quality & validation
Built-in data quality checks ensure clean data in Microsoft Fabric DWH. Set validation rules, detect anomalies, and get alerts for data quality issues.
Enterprise orchestration
Schedule complex workflows, dependencies, and multi-step pipelines. Use built-in orchestration capabilities.
Warehouse-native optimization
Loads are tuned to Microsoft Fabric DWH using its native bulk-load path for optimal query performance.
Developer platform
REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.
What Peliqan syncs from Leat
Peliqan loads your Leat data into Microsoft Fabric DWH as analytics-ready tables you can query with SQL. Schema changes are handled automatically.
Technical Specifications
Peliqan provides a high-performance ELT engine optimized for modern cloud data warehouses.
Load, transform and orchestrate data reliably with warehouse-native speed and security.
Supported Data Types
- Protocols – REST, SOAP, SFTP, ODBC, JDBC etc.
- Support for staging tables, external tables & native ingestion formats
- Automatic schema evolution and change detection
Performance & scale
- Handles millions of records with distributed processing
- Near real-time data sync for most object types
- 99.9% uptime SLA with redundant infrastructure
Security features
- End-to-end encryption in transit and at rest
- VPN tunnel support and on-premises agents
- Enterprise SSO integration available
More destinations for Leat
Send data out
Sync your Leat data into these databases and warehouses.
SaaS Data Cockpit
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Built with enterprise-grade security and compliance.
Frequently asked questions
Can I connect multiple Leat instances?
Yes, you can connect multiple instances of Leat and unify the data, or you can customize field mappings for each connection.
How often does the data sync?
You control the sync frequency: as often as every 15 minutes on the Pro plan, or hourly, daily and custom schedules. Some source systems set their own limits – Exact Online, for example, defaults to every 6 hours.
Can I transform data during the sync process?
Yes. Transform data with SQL or low-code Python before or after it lands in the warehouse. You can clean fields, join across sources and reshape tables without touching the source system.
Is there a limit on data volume?
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
What if I need a custom integration?
Our team builds custom connectors, typically within 2 weeks. You can also build your own pipelines with low-code Python.
Ready to run Leat reports on live data in Microsoft Fabric DWH?
Connect Leat to Microsoft Fabric DWH in minutes, and build the reports and dashboards your team actually needs.