Data Architecture and Warehousing 2017-11-29T16:28:55+00:00

Data Architecture and Data Warehousing

A Data warehouse (DW) is a centralized data repository that integrates data from various legacy, transactional, or external systems, applications, and sources. The DW provides a dedicated environment separate from operational or transactional systems and is specifically designed for analytical-reporting, ad-hoc queries, data mining and decision-support.

data architecture

Essentially, a data warehouse helps solve the on-going problem of pulling large amounts of data out of transactional or operational systems quickly and efficiently and transforming that data into actionable insights.  Furthermore, a DW allows for the processing of large and complex queries in a highly-efficient manner.

As a DW is not reporting tool agnostic, nor does it confine to the data storage limitations of many reporting tools. When investing in a DW, you are not investing in a specific reporting tool, rather, you are future proofing by investing in a historical and coherent picture of your business at a point in time.

We automate the process of extracting, cleaning, consolidating and restructuring your data so that it delivers excellent query performance, even for complex analytic queries, without impacting transactional or operational systems.

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