Rethinking data platforms to enable digital transformation.
WHITEPAPER

Rethinking data platforms to enable digital transformation
Whitepaper

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Data Engineering

Why Data Engineering ?

Did you know that 80% of the time taken across all AI projects consist of data engineering and preparation tasks? That's right. With the deluge of data, data engineering services are in higher demand in 2020. 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.

Data Engineering Services

Why LatentView for Data Engineering?

Business-focused analytics

latentview

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

Scalable modern architectures

latentview

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

Global talent

latentview

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

Architect modern analytics architectures for the age of big data, cloud and IoT. To know more about Data Engineering, write to us at sales@latentview.com

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