Capture real-time insights from AI/ML and the machine learning models that unlock the value of your data
garage_home Data warehouses

Enterprise data warehouse: Trusted data shared across the enterprise

Accelerate business outcomes, streamline processes, and gain deeper insights.

Talk to an expert
Why VantageCloud for data warehouses

Enterprise data warehouse: Accelerate innovation with a powerful data warehouse platform

With Teradata VantageCloud, businesses can deploy a data warehouse at an enterprise level that offers flexibility, performance, and analytics to a wide range of users.

VantageCloud Enterprise and Lake Edition
dataset

Bring disparate sources of data into a single version of truth

schema

Seamlessly manage mixed workloads

groups

Empower citizen data scientists with universal access

acute

Ensure data integrity and real-time updates

How data warehouses work with VantageCloud

Gain flexibility, cost savings, and scale in the cloud

A data warehouse is an evolving resource that supports key business processes for reporting, business intelligence, and more. Here are the common characteristics of a data warehouse:

  1. 1
    Subject oriented

    People can access data via topics tied to business units and processes that they work with daily.

  2. 2
    Consistent data

    Data formats and values are standardized, complete, and accurate. Data must have integrity.

  3. 3
    Updated in real time

    Changes are tracked over time to create an effective corporate memory of the enterprise.

bar_chart

Unleash the full potential of your data with ClearScape Analytics™

Analytics overview

dns

Teradata VantageCloud. One platform, unlimited possibilities.

Platform overview
Other workloads

Explore other workloads

integration_instructions

Data engineering
flowsheet

Transactional workloads
Related

Explore our insights on data warehouses

Frequently asked questions

A data warehouse is a centralized repository that consolidates data from multiple operational sources and is optimized for analytics, reporting, and business intelligence.

An enterprise data warehouse (EDW) extends this concept to serve the entire organization: It aggregates data from across all business units, integrates multiple systems, and supports enterprise-wide analytics and decision-making.​

In short: All EDWs are data warehouses, but not all data warehouses reach the scale, scope, or integration level of an EDW.

An EDW typically stores:​

  • Structured data, such as transactional records, customer and product tables, finance data, and CRM/ERP data, which are integrated and subject oriented​
  • Time-variant/historical data, meaning the EDW retains data across time periods to support trend analysis and forecasting​
  • Integrated data from multiple sources, meaning data from different business applications that has been cleaned, reconciled, and standardized​
  • EDWs primarily ingest structured data, but modern EDWs may also ingest semi-structured and contextualized data (like logs, XML/JSON, and enriched external feeds) when transformed for analytics​

An EDW provides a consolidated, cleansed, and optimized dataset that supports enterprise analytics, reporting, and decision-making

Key attributes include subject orientation (organized by business themes), integration (standardized naming and formats), time variance (historical context), non-volatility (data is stable once loaded), scalability, governance, and performance for analytics

Let's get started

  • Size count and storage for your primary cluster
  • Provide the IP addresses that need access
  • All set! Complete the creation of your environment
Get a demo