Rethinking data platforms to enable digital transformation
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Data Engineering

Why Data Engineering ?

The volume of data has grown dramatically, while the cost of compute and storage have dropped, and algorithms have become freely available. With the right approach to Data Engineering, organizations can monetize and maximize the value of their data assets by creating a strong foundation of data and incorporate insights from data science into their daily business processes. However, organizations must confront some key issues if they want to truly exploit these opportunities and transform themselves into analytically savvy competitors.

Why LatentView for Data Engineering?

Business-focused Analytics

Business-focused approach to data engineering to align analytics and technology.

Scalable modern architectures

Workload-centric architectures to meet different needs of business stakeholders.

Global talent

Proven experience in delivering analytics solutions to internet-scale companies using Hadoop and open source technologies, on-premise and on-cloud.

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