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Databases & Data Warehousing

Our expertise spans a wide range of modern database technologies and enterprise-grade data warehousing platforms. We help organizations design, implement, optimize, and scale their data ecosystems to support high-performance applications, analytics, and business intelligence needs.

Service process

SQL Server Database

  • Design and development of SQL Server databases
  • Query optimization and performance tuning
  • SSIS, SSRS, and SSAS development
  • High Availability & Disaster Recovery (Always On, Replication)
  • Security hardening and role-based access management
  • On-premise to Azure SQL migrations

01

Azure SQL Database / Managed Instance

  • Setup and configuration of Azure SQL PaaS services
  • Migration of on-prem SQL Server to Azure SQL MI
  • Cost optimization and scaling strategies
  • Automated backups, geo-replication, and failover configuration
  • Elastic pools and workload optimization
  • Monitoring & performance insights with Azure tools

02

Teradata

  • Teradata architecture and data modeling
  • High-performance ETL/ELT pipeline development
  • BTEQ scripting and workload optimization
  • Parallel processing and query tuning
  • Integration with enterprise BI tools
  • Managing large-scale analytical workloads

03

Oracle Database

  • Schema design and PL/SQL programming
  • Oracle RAC configuration and tuning
  • Backup, recovery, and Data Guard setup
  • Performance tuning for high-traffic systems
  • Security, auditing, and compliance setup
  • Migration to cloud databases (AWS, Azure, OCI)

04

Kusto Database (Azure Data Explorer)

  • Snowflake data warehouse design & implementation
  • Micro-partitioning optimization and clustering
  • Virtual warehouse configuration for cost/performance
  • Time Travel & Zero-Copy Cloning setup
  • Semi-structured data handling (JSON, Parquet, etc.)
  • ELT pipelines and Snowflake integration with cloud platforms

05

Snowflake

  • Snowflake data warehouse design & implementation
  • Micro-partitioning optimization and clustering
  • Virtual warehouse configuration for cost/performance
  • Time Travel & Zero-Copy Cloning setup
  • Semi-structured data handling (JSON, Parquet, etc.)
  • ELT pipelines and Snowflake integration with cloud platforms

06

Data Warehousing Concepts

We bring strong expertise in foundational and advanced data warehousing principles:

  • Star and Snowflake Schema Design
  • Partitioning and Clustering
  • ETL/ELT Architecture
  • Slowly Changing Dimensions
  • Data Lakes and Lakehouse Architectures
  • Dimensional Modeling