Data Architecture

Fit-for-purpose Data Architecture is the part most frequently omitted by our clients. Correctly designed Data Architecture protects your Data Teams from losing momentum when business grows.

As a result you will get a components diagram with optional solutions for each part.

 

Data Architecture creation includes several steps

Scalable Data Architecture is a cornerstone of transitioning to Data-led organization and making your Data Quality rock-solid.

Source connectors

We start from examining how your technology stack works and how data is being created in your backend and frontend production systems. Some companies are mostly about relational databases while others prefer event-processing architectures. We design source connectors for your particular use case which allow to minimize discrepancies in your Data.

Access control

At this point we understand what Data you have and the goal of this step is to set up proper access control to prevent Data Leakage. We can fit into your existing access control solution or design one from scratch.

Data Warehouse

DWH is known to be the heart of company Data Assets. Following the standard paradigm of layered architecture with raw, detailed and user layers we pick appropriate logical architecture for each of them. We design DWH with ever-changing business demands in mind which lead to shorter cycle time of new features implementation.

Additional components

Having deployed main components we add instruments to make end-user life easier. This could include scheduler, metadata catalogue, BI system and monitoring framework for all parts. All of these allow your company to be more efficient at trouble-shooting issues and newcomers to start development faster.

World-Wide Data Expertise

Tez Data harnesses the power of the latest cutting-edge technologies to craft exceptional products that redefine industry standards

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