From MySQL to Fabric using Azure Blob Storage

Configure your LakeXpress data pipeline with the selected components

LakeXpress Orchestrator

Manages end-to-end pipelines
Orchestrates FastBCP extracts with retries & logging
Handles incremental sync and schema-aware metadata

Control DB for increments/custom rules & logsMetadata-drivenLinux or Windows

Data

FastBCPEngine

Parquet

Data or Link

Terminal

./LakeXpress config create \
  -a data/ds_credentials.json \
  --log_db_auth_id log_db_ms \
  --source_db_auth_id datasource_mysql_01 \
  --source_db_name sales \
  --source_schema_name "sales,dim" \
  --fastbcp_dir_path ./FastBCP_linux-x64/latest/ \
  --fastbcp_p 2 \
  --n_jobs 4 \
  --target_storage_id abs_lake_prd \
  --generate_metadata \
  --sub_path /ingest/bronze \
  --incremental_table "sales.orders:o_orderdate:date" \
  --incremental_table "sales.lineitem:l_shipdate:date" \
  --publish_method internal \
  --publish_target fabric_tgt

# First sync - full load
./LakeXpress sync

# Subsequent syncs - incremental updates (much faster!)
./LakeXpress sync

Documentation

Get LakeXpress

Source - MySQL

MySQL is the world's most popular open-source database management system. LakeXpress uses FastBCP with the native MySQL driver to ensure fast and reliable extractions.

Features:

•Native MySQL driver for optimal performance
•Transaction support
•Compatible with all modern MySQL versions
•Efficient parallel extraction

Format - Apache Parquet

Parquet is the industry-standard columnar file format for analytics. LakeXpress uses FastBCP to extract data from source databases and convert it to Parquet format, ensuring optimal compression, query performance, and compatibility with all modern data platforms.

Advantages:

•Columnar format optimized for analytics
•Efficient compression (typically 3-10x)
•Schema evolution support
•Predicate pushdown for fast queries
•Universal compatibility with cloud platforms
•Preserves data types and precision

Cloud Stage - Azure Blob Storage

Azure Blob Storage is Microsoft's object storage solution for the cloud. LakeXpress uses Azure Blob as an intermediate staging layer for Parquet files with high performance and reliability.

Features:

•Massive scalability
•Multiple access tiers (Hot, Cool, Archive)
•Integrated with Azure ecosystem
•Built-in encryption and security
•Lifecycle management policies

Destination - Microsoft Fabric

Microsoft Fabric is an all-in-one analytics solution. LakeXpress publishes data directly into Fabric lakehouses or warehouses with native OneLake integration.

Publishing method:

OneLake Delta Lake or SQL Analytics Endpoint

Features:

•Native OneLake integration
•Automatic Delta Lake conversion
•Direct query from Power BI
•Unified governance
•Real-time analytics

Related Pipelines

Teradata → ADLS → Fabric

SAP HANA → S3 → Fabric

MySQL → ABS → Redshift

SAP HANA → ADLS → Fabric

MariaDB → ADLS → Fabric

MySQL → GCS → AWS Glue