Big Data & Hadoop

How Our Big Data Computing Works

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Challenges We Face

01.
Selecting an optimal architecture and platforms from several options

Big data architecture includes mechanisms for ingesting, protecting, processing, and transforming data into filesystems or database structures. Analytics tools and analyst queries run in the environment to mine intelligence from data, which outputs to a variety of different vehicles.

02.
Paying a high total cost of ownership

We are highly-focused on the possibilities to optimize an existing architecture to reduce customer’s costs (such as the costs of cloud services, software license, software maintenance, data acquisition). We offer alternative options that bring both extra benefits and decreased costs.

03.
Integrating different platforms and services

We provide our customers with an enough stack of compatible platforms and services needed to satisfy the business needs since a big data solution always combines multiple components, as there are multiple data sources.

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