Nasdaq Increases Transparency Throughout Its Business | Hitachi Vantara
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Nasdaq Increases Transparency Throughout Its Business

  • Challenge

    Create a scalable, cloud-based platform with big data integration and analytics.
  • Solution

    Revamp legacy system by employing Pentaho Data Integration and Pentaho Business Analytics.
  • Outcome

    • Efficiently transforms and analyzes billions of rows of data daily.
    • Enables Nasdaq to keep pace with 21st-century trading requirements.
    • Creates a data environment that can be commoditized while lowering costs.
    • Reduces total cost of ownership by 50%.
Customer Story Customer Story Customer Story


Create a Cloud-Based Platform With Big Data Integration and Analytics

The company needed a way to quickly process and transform large data sets coming from multiple sources into a format that could be used efficiently to analyze several business lines in a timely manner. This was difficult due to the size of data.


Pentaho Data Integration and Pentaho Business Analytics

The company chose a solution based on Amazon Redshift and Pentaho.

Amazon's RedShift offered the performance and price point needed with the ability to scale quickly.

Pentaho's product suite offered a perfect blend of ETL, visuals, and extensibility that addressed Nasdaq's needs.

From Customer Testimonial
Customer Testimonial

Regardless of data size, Pentaho helps us make prudent decisions enabling us to compete.

Michael Weiss

Senior Software Engineer
Nasdaq OMX


A Data Environment That Can Be Commoditized While Lowering Costs

The solution lowered data processing time and increased business transparency.

Analytics are now available to management on a T+1 basis.

Managers can now quickly identify and understand factors impacting revenue, such as changes in participant behavior.



Nasdaq Inc. is a financial services corporation that owns the Nasdaq stock market and eight European stock exchanges.

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Pentaho Data Integration

Pentaho Data Integration

Data integration platform to ingest, blend, cleanse and prepare diverse data from any source in any environment without code.


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