Data Warehousing Solutions

From "The Big Elephant" to "The Cloud Brain": Transforming Raw Data into Strategic Intelligence

The Central Repository for Business Truth

Modern warehousing has moved beyond massive, expensive appliances in basements. Today, we separate Compute from Storage. This allows you to store petabytes of history for pennies in object storage while paying for processing power only when you actually execute a query.

The Modern Shift: From ETL to ELT

Traditional ETL

Extract, Transform, Load. Data was cleaned on a separate server before loading due to high storage costs. This created massive scaling bottlenecks.

Modern ELT

Extract, Load, Transform. Dump raw data into the warehouse immediately. Use the massive SQL power of the warehouse to transform later. Agility is key: Mistakes can be fixed without re-fetching data.

The "Secret Sauce": Separation of Compute & Storage

This is why platforms like Snowflake and BigQuery dominate. By decoupling these layers, you gain infinite flexibility:

  • Storage Layer: Sits in cheap S3/Blob storage (~$20/TB).
  • Compute Layer: Spin up "Virtual Warehouses" on demand and shut them down when finished.
  • Concurrency: Marketing and Data Science teams share data but use separate, dedicated compute resources.

The "Big Three" Technologies

Snowflake

Superpower: Zero-Copy Cloning. Create a 10TB test database in seconds without duplicating actual data. Perfect for cross-cloud agility.

Visit Snowflake

Google BigQuery

Superpower: Serverless Scale. No server sizes to choose. Google allocates thousands of slots dynamically for sub-second ad-hoc queries.

Visit BigQuery

Amazon Redshift

Superpower: AWS Integration. Deeply linked with S3, Glue, and Kinesis. Best for high-performance workloads within the AWS stack.

Visit Redshift

Schema Design: Star vs. Snowflake

Organization is speed. We specialize in:

  • Star Schema: Simplicity and speed for joins between sales facts and dimensions.
  • Data Vault: Agile modeling designed for long-term auditability and change tracking.

Data Warehousing Toolkit

Category Tool Usage
Transformation dbt (data build tool) The industry standard for ELT. SQL-based modeling that automatically generates tables.
Ingestion Fivetran / Airbyte Zero-config pipelines to sync Salesforce, Stripe, and ERP data into the warehouse.
Lakehouse Databricks Blending SQL Warehouse performance with Data Science Python flexibility.

Consolidate Your Intelligence

Download our "Modern Data Warehouse Selection Framework" to evaluate your TCO for Snowflake vs. BigQuery.

Download Warehouse Guide (.docx)