Enterprise Data Warehouse: Overview

ScienceSoft has been rendering a full range of data warehousing services since 2005.

What is an enterprise data warehouse?

An enterprise data warehouse (EDW) is a central repository for all business data of a company. EDW integrates disparate data sources for data analytics and reporting purposes.

What is an enterprise data warehouse - ScienceSoft

EDW key features

Core features

  • Enterprise-wide data integration from internal and external data sources.
  • Controlled data loading and data management procedures.
  • Storing of historical and non-volatile data.
  • Subject-oriented data repository.
  • Integration with analytics and reporting software.

Advanced storage

  • Big data integration.
  • Real-time data warehousing (integration of sensor data, log file data, social media data, etc.).
  • Storing raw data.
  • Storage in multiple environments (cloud, on-premises, hybrid).


  • Instant scalability.
  • Automation of EDW maintenance tasks – backups, replication, patching, etc.
  • Granular access control
  • Federated Queries
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Important EDW integrations

To achieve maximum effectiveness, EDW should integrate data from the company’s business-critical systems and external data sources, including:

Important EDW integrations - ScienceSoft

To get an understanding of the value a company gets by integrating all-rounded data from various sources, have a look at one of ScienceSoft’s projects. We helped a producer of phytotherapy products consolidate their disintegrated data sources into the unified central storage to get company-wide reporting, benchmark their performance, etc.

EDW platforms we recommend

The solutions we selected are recognized as leaders in enterprise data warehousing solutions (Forrester Wave, Gartner Magic Quadrant) and are in full compliance with the key criteria for an enterprise-scale DWH: almost instant scalability of compute and storage resources (due to the cloud-based nature), high performance and availability (up to 99.99% uptime), advanced security, etc.

Azure Synapse Analytics

A scalable data warehousing solution with a node-based architecture, which employs parallel query processing to achieve fast query response time and high query throughput. Azure Synapse unifies the Azure Data Lake storage and the SQL data warehouse to allow direct querying of raw data and combining relational and non-relational data for deeper analytics insight.

Data security

Dynamic data masking, built-in authentication, authorization, data encryption, etc.

  • Data storage $122.88 per TB/month ($ 0.17/TB/hour). The data storage size includes your DWH data and 7 days of incremental snapshot storage.
  • Query performance pricing depends on the service level and region.
Amazon Redshift

A scalable data warehousing service, which achieves great performance due to such features as massively parallel processing, columnar data storage, query optimizer, result caching, etc. With the Redshift Spectrum feature it is possible to query data directly from Amazon to enable data lake analytics.

Data security

End-to-end encryption, granular access controls, network isolation, etc.


The price is charged according to the amount of stored data and the number of nodes. The on-demand pricing option starts from $0.25/hour (hourly rate based on the type and number of nodes in the cluster).

Google BigQuery

A scalable data warehousing solution backed up with the Dremel technology designed to instantly run queries on massive structured datasets.

Data security

Data encryption, Google’s virtual private cloud policy controls, etc.


Storage costs $0.02 per GB/month ($0.01 per GB/month for long-term storage).

Streaming inserts $0.01 per 200 MB.

For query performance, 2 subscription options are available:

  • Pay-as-you-go ($5 per TB, 1st TB/month is free).
  • Flat-rate pricing (from $10,000/ month for a dedicated reservation of 500 processing units).

EDW implementation

Having 15+ years of hands-on experience in delivering DWH solutions, partnerships with global technology leaders (including Microsoft, Amazon and Oracle), we know how to deliver tailored EDW solutions that help our clients meet their tactical and strategic business objectives.

EDW consulting and implementation

To help you establish an EDW solution, we cover:

  • Business needs analysis and requirements elicitation.
  • EDW implementation strategy design.
  • EDW configuration and development.
  • EDW integration.
  • Data management procedures.
  • User training.
  • EDW support and administration (if required).

EDW as a Service

For you to avoid EDW development, implementation and management, we customize an enterprise data warehouse and rent it out to you on a subscription fee basis.

About ScienceSoft

ScienceSoft is a global IT consulting and IT service company headquartered in McKinney, TX, US. Since 2005, we render a full range of data warehousing services, including consulting, implementation, migration and DWaaS to support our clients’ agile and data-based decision-making.