Data Warehousing

A data warehouse centralizes and consolidates data from multiple sources. It helps provide analytical capabilities for organizations to derive valuable insights from their data to improve decision-making. Data warehouses create a solid foundation for analytical tools by storing data efficiently and delivering data quickly.

Here are some tools we commonly work with:

Snowflake: A platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing and consumption of real-time/shared data.

dbt: An open-source command-line tool that helps create, maintain, and test data models in a data warehouse. It allows users to write their data transformations in a standard SQL and then use DBT to automate running these transformations on a schedule.

Databricks: A cloud-based platform that allows users to perform data engineering, machine learning, and data science tasks. It is built on top of Apache Spark, an open-source, distributed computing system that can process large amounts of data quickly and efficiently.

Interested in working with us?

Please reach out to learn what custom-built software, data, and AI tools can do for your business.