Big Data

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.


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?

Augmented Intelligence (AR/VR)
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

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.


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


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!

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