Transformative data engineering solutions and portfolio
Migrate Databricks PySpark notebooks, Delta Lake tables, Unity Catalog configurations, and MLflow pipelines to Fabric Lakehouse, Spark Notebooks, and OneLake. For teams standardizing on Microsoft Fabric as their unified analytics platform.
For enterprises consolidating onto the Microsoft stack. Migrate Snowflake SQL, Snowpipe ingestion, tasks, streams, and stored procedures to Fabric Warehouse T-SQL, Data Factory pipelines, and OneLake storage with equivalent security and governance controls.
Migrate on-premises SQL Server and Azure SQL databases to Microsoft Fabric. Convert T-SQL stored procedures, SSIS packages, SQL Agent jobs, and linked server dependencies to Fabric Warehouse, Data Factory pipelines, and Spark Notebooks.
Migrate Oracle PL/SQL packages, procedures, materialized views, and complex analytical queries to Fabric Warehouse T-SQL and Spark SQL. Resolves Oracle-specific constructs like CONNECT BY, MERGE, bulk collect, and partitioning schemes into Fabric-optimized equivalents.
he most urgent migration path as Synapse Dedicated SQL Pool approaches end-of-life. Convert Synapse T-SQL, stored procedures, external tables, and PolyBase patterns to Fabric-native Warehouse, Lakehouse, and Data Factory pipelines with minimal disruption to existing workloads.
The largest enterprise data warehouse migration wave happening today. Migrate Teradata BTEQ scripts, macros, FastLoad/MultiLoad jobs, and complex analytical SQL to Fabric Warehouse T-SQL and Lakehouse Spark Notebooks with full dependency mapping and medallion layer design.
Convert traditional SQL ETL pipelines to PySpark and Spark SQL for cloud-native data engineering across Databricks, Amazon EMR, Azure Synapse Spark pools, and Microsoft Fabric.
Migrate T-SQL stored procedures, functions, SSIS packages, and scheduled jobs to Snowflake-native equivalents, resolving SQL Server syntax differences, temporary table patterns, control flow logic, and linked-server dependencies.
Convert Oracle PL/SQL packages, procedures, triggers, and complex analytical queries to Snowflake-native SQL, including hierarchical queries, MERGE patterns, bulk collect operations, and cursor-based procedural logic.
Migrate Teradata workloads to Databricks SQL and PySpark, with legacy stored procedures, complex joins, and set-based logic reconstructed for lakehouse architecture, Delta Lake optimization, Spark-native processing patterns, and Unity Catalog compatibility.
Automatically convert Teradata SQL, BTEQ scripts, macros, and FastLoad/MultiLoad jobs to Snowflake-native SQL with warehouse-optimized query patterns, modern loading constructs, and Snowflake-specific performance tuning.
Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.