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<!DOCTYPE html>
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Data Warehouse
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<h1 class="service-type">Data Warehouse</h1>
<p>Data Warehouse is known to be the heart of Data-Driven organization. It's not just a storage of all your Data. It's a layered system with internal architecture that makes changes in sources unobservable to end users. Correctly designed Data Warehouse significantly speeds up the build-measure-learn cycle and empowers Data Teams to do granular research of company performance.</p>
<p>Tez-Data teams have implemented DWH solutions that are proven by time. We are happy to help your company succeed in building your Data Warehouse.
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<h2>Key decisions in building a Data Warehouse</h2>
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<p></p>
<p>
Correctly designed Data Warehouse is built with business goals in mind. To succeed we combine technical expertise with analysis of company demands.
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<h4>Source systems requirements</h4>
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<p>
DWH could be thought of as a layer of abstraction between entities in IT systems and business entities. To make the process of filling up Data Warehouse painless there should be guidelines for how we store data in IT backends. Our experience suggests that correctly designed requirements may significantly increase the speed of DWH creation.
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<h4>Delay to real time
</h4>
</div>
<div class="services-desc-body">
<p>
Classic DWH systems are designed to process data on the daily basis. This implies that end-users see the results on the next morning. From our practice we see more and more companies trying to observe same day situation. Some are comfortable with 1 hour of delay while others want to have real-time monitoring. These aspects should be thought of in advance.
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DWH is a complex system in itself. Usually, there are at least 3 layers that exist. Raw layer is responsible for data ingestion from source systems be it production databases, event streams or spreadsheets. Detailed layer as its name suggests is made for convenient layout of data for Data Engineers. Marts is the layer where business entities are created for end-users.
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Many companies that we worked with have very sophisticated system of managing access to data. 2 of the most popular cases of sensitive data include personal data of users and financial data of the company. Correctly designed DWH should have simple yet efficient approaches to implement various access policies.
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