From SQL Server to BigQuery using AWS S3
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

./LakeXpress config create \
-a data/ds_credentials.json \
--log_db_auth_id log_db_ms \
--source_db_auth_id datasource_sqlserver_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 s3_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 bigquery_tgt
# First sync - full load
./LakeXpress sync
# Subsequent syncs - incremental updates (much faster!)
./LakeXpress syncSource - SQL Server
Microsoft SQL Server is a leading enterprise data platform. LakeXpress leverages FastBCP's advanced techniques to extract SQL Server data with maximum efficiency.
Features:
- •Native SQL Server driver via FastBCP
- •Support for SQL Server-specific data types
- •High-performance parallel extraction
- •Optimized for Windows and Linux environments
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 - Amazon Simple Storage Service
AWS S3 is the industry-leading object storage service. LakeXpress stages Parquet files in S3 for scalable, durable, and cost-effective cloud storage before publishing to your target platform.
Features:
- •Unlimited scalability
- •99.999999999% durability
- •Lifecycle policies for cost optimization
- •Server-side encryption
- •Integration with AWS Glue Data Catalog
Destination - BigQuery
Google BigQuery is a serverless, highly scalable data warehouse. LakeXpress loads Parquet files from GCS into BigQuery tables using native bulk loading.
Publishing method:
BigQuery Load Job from GCS
Features:
- •Direct load from GCS
- •Native Parquet format support
- •Automatic schema detection
- •Petabyte-scale analytics
- •Integration with Google Cloud ecosystem

