Maximizing Return While Minimizing Chaos

Apache™ Hadoop® on Wheels is a framework for implementing a big data Hadoop architecture that combines the benefits of a formal governed warehouse with the dynamic aspects of big data analytics.

You Can’t Just Jump In a Data Lake

Big data Hadoop environments are a powerful tool for insight across the enterprise. However, there are hidden costs to Hadoop. The emerging data lake architecture over-simplifies the complexity of enabling a successful instance of this new technology.

  • Lack of platform security
  • No repeatable processes for securing data
  • Lack of transparent data quality and lineage
  • Inconsistently applied data integration processes
  • Lack of common vocabulary and business data definitions
  • Inconsistently applied transformation processes

How Hadoop on Wheels Helps a Big Data Hadoop Architecture

Hadoop on Wheels is a framework for implementing a big data Hadoop architecture. It combines the benefits of a formal governed warehouse with the dynamic aspects of big data analytics. It manages risks while maximizing potential returns. It is a framework that delivers a Hadoop platform that bolsters the agility of a data lake with the governance of a well-disciplined data warehouse.

What It Is

hadoop architecture

Matrix of architecture, governance and enablement capabilities

 

hadoop integration

Integrated ecosystem addressing the full breadth of enterprise analytics users and use cases

What It Does

hadoop security

Enterprise-strength security and achievable data governance

 

hadoop automation

Automation and acceleration across implementation, governance and enablement vectors

 

hadoop roadmap

Operational roadmap and tool kit to activate business value through analytic agility

451 research hadoop on wheels


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Hadoop on Wheels Case Studies

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