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MODERN DATA PLATFORM

A modern data platform is a concept of multiple components working seamlessly in a secure, scalable, and future-proof way – all in a unified platform designed for collaboration and low time to market delivery and lead time. A modern data platform removes the hurdles to data just in time, AI adoption, and real-time use of data. With the ability to consistently have access to real-time information, you can identify patterns and make forecasts.

DIFFERENT ASPECTS OF BUSINESS DATA

With a modern data platform, you can gather, store and process data from any source and of any sort. For example, real-time data, IoT and machine data, images and video, geospatial data, big data, and structured and unstructured data. The modern data platform enables you to deal with three different aspects of business data:

VOLUME

As your volumes of data increase, you need a data platform that supports this and can maintain the data for extended periods – your data platform needs to be scalable.

DATA TYPES AND SOURCES

Most of us have several digital devices such as a mobile phone, a tablet, and a computer to do our job. And we deal with many workable sources. Besides, the input these devices generate may stem from social media applications and mobile phone apps. These inputs can be in the form of structured and semi-structured data. For a modern data platform to succeed, it should depend on standard protocols rather than some proprietary connection.

THE SPEED OF DATA ACCUMULATION

Data arriving from many sources tend to come quickly. A modern data platform can concentrate diverse data sources through adaptive indexing and metadata use. Nexer has long experience working with a modern data platform.

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