Enterprise Data Warehouse

Data is harder to analyse when it is fragmented and/or is stored in multiple areas. An enterprise data warehouse (EDW) consolidates data from multiple sources, giving the right people access to the right information so that they can take necessary action. Atlas System's experts will help to conceptualize, design & build the enterprise data warehouse (EDW) to act as a central repository of integrated data from one or more disparate source systems. 

In turn, this helps in reporting, data analysis and acts as a core component of business intelligence/analytics environment. Our team handles the end-to-end development and deployment of your data warehouse, making your access to information as efficient as possible and business ready.

The Atlas advantage

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Dimensional modelling

Using an abstract modelling layer based on mind maps, we define measures, dimensions, hierarchies, calculations and other attributes needed for a Data Warehouse setup. Our business data model is driven & designed from interactions with business users and we also conduct workshops with the various business units in our definition process.

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DWH Staging

The DWH Staging Area is temporary location where data from source systems is copied. All required source data is made available before data is validated/transformed/transferred into the Data Warehouse. Thus having an staging area considerably reduces the risk of data loss at any point of time. Staging is designerd to keep origional copy of data for extended periods of time for archival or troubleshooting purposes.

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Data Types & Mapping

Data mapping is used as a first step for a wide variety of data integration tasks including data transformation/data mediation. We perform an analysis of the data in order to get an accurate account of the different types of data being stored in the data warehouse and the nature of the different sources being used. It includes identifications of attributes, size, datatype, allowed values and mapping between the source, staging & DWH model.

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Extract, Transform and Load

The Extract-Transform-Load (ETL) software (e.g. Informatica, Cognos Data Manager etc) processes inconsistent data, cleanses "bad" data, filters data and loads data from source to staging to target database. Three phases are scheduled & executed in parallel using the scheduling tools like Opalis, Tidal etc.

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Support

Our team performs regular maintenance and tuning of the warehouse using various checklists to be performed on daily/weekly/monthly basis. Design scripts for regular backups to be prepared for any unforeseen events which could occur.

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