Big Data, The Only Huge Data Since Its Inception!

Big Data is a big term associated with a large volume of data. This data is both unstructured and structured and is extremely important. Big data is everything that strengthens the business pillars of an organization. It is not the amount of data that is important but what organizations do with that data. This data can be analyzed, manipulated, and used to frame better business decisions and strategies.

Internet Of Things (IoT) and Artificial Intelligence (AI) are managing data complexity via new norms and different data sources. A thorough analysis of big data allows analysts, engineers, and scientists to make quicker decisions using the data that was unusable or inaccessible. Businesses use advanced analytics and methodologies including text analytics, machine learning, deep learning, data mining, natural language processing, statistics to manipulate this data and use it for simplified business operations.

Big-Data-img

What Are The Different Sources Of Big Data?

With millions of users generating several queries each second, data is getting enormous. This calls for questions. Where is all this data coming from? What are the different sources of Big Data?

Streaming Data

Streaming data comes from connected devices into the IT systems. From wearables, medical devices, smart cars, industrial equipment to drones, all these sources fall under the big umbrella of the Internet Of Things.

Intelligent Automation
Public Data

Publicly available data comes from open data sources including the World Bank, World Health Organization, CIA, Google public data explorer, open data registry on AWS, US Data Gov, and European Union Open data portal.

Connected Experience (IoT)
Social Media Data

Social media data hops in from interactions and engagements on the Social Media platforms including Facebook, Twitter, Youtube, LinkedIn and Instagram. This data is usually in the form of text, images, videos, and voice.

Cloud Services
Variety

Big Data comes in diverse formats, including structured data (e.g., databases), semi-structured data (e.g., XML), and unstructured data (e.g., text, images, videos). This variety poses challenges for storage, processing, and analysis.

Velocity

The speed at which data is generated and collected is another crucial aspect of Big Data. With the rise of real-time applications and IoT (Internet of Things) devices, data is generated and transmitted rapidly, requiring quick processing and analysis.

Big data technology is defined as software-utility

Technologies

Operational Big Data Technologies
Analytical Big Data Technologies
Top Big Data Technologies
Data Storage
Data Mining
Data Analytics

For any business requirement in this domain contact DRC Systems!

Storex

Our client wanted us to create a platform where doctors and patients can connect with each other for virtual treatment without compromising treatment efficiency.

Torrent

This platform enables management of sales force for corporate and healthcare industry which has various modules and benefits.

RISE

The “Rapid Immunization Skill Enhancement” project is a strategic initiative designed to improve immunization procedures and healthcare delivery. This project focuses on enhancing the proficiency of healthcare personnel in administering vaccines quickly and effectively. It includes a comprehensive training program and the implementation of innovative tools and technologies to streamline the immunization process.

Skill India

Knowledge is limitless, so should be the medium of obtaining it. Modern education is not limited to the mainstream way of learning, you can access it with mere fingertips anywhere, anytime. But when it comes to creating a platform that is designed to be a medium for students and tutors, that is where elearning solutions come into play.

Shams

EZMS – Economic Zone Management System provides a robust solution for Free Zone, Business Parks, Logistics and Economic Zones all across the globe. A cloud & SaaS-based solution with single integrated system providing real-time insights on customer service, compliance, operation and management.

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