Data Architecture

How should I change my technical data architecture to include Cloud Computing, BigData, Machine Learning, MDM, Data Governance and IoT?

How it works

Cloud Computing, BigData, Machine Learning, MDM, Data Governance, Self Service BI are game changers for most organizations.

But defining new technical architectures which combine existing data management, data warehousing platforms, and business intelligence legacy tools with those new technologies and platforms, is a major challenge.

Fortunately, we can help with a set of technical architecture patterns and best practices combining on-premises platforms and cloud Platform-as-a-Service (PaaS) solutions.

Once we define your vision, starting with good business cases and quick wins, is always the best approach to prove the value of the new technologies and better understand its challenges from the operational point view.
Using PaaS solutions is a great way to jumpstart your BigData and Machine Learning initiatives, and being able to scale quickly while being sure to understand and effectively manage the associated costs.

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