Big Data Analytics

Master digital data for meaningful insights.

Big Data. Bigger Career.

What is Big Data?

It's estimated that 2.5 Quintillion bytes of data are created every day (IBM). As more data is being collected on where and how we click, email, chat, or capture photos, professionals are needed that can turn that data into useful insights. With 90% of the world's data being generated in the last two years, it's clear that big data is growing and more companies are becoming aware of how important it is to transform their data into smarter business decisions (Source).

What is Big Data?

Big Data

Large databases that are often unstructured and are generating information frequently. (Example: security cameras that are constantly capturing images, and website traffic data.)

Analytics

The methodologies and tools used to generate insights in order to determine trends and patterns.

Big Data Analytics is the process of examining large sets of data in order to understand what has happened in the past (trends or patterns) and to anticipate future outcomes. 


Characteristics of Big Data

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Volume

Amount of data generated by organizations or individuals.

Velocity

Frequency and speed at which data is generated, captured and shared.

Variety

Proliferation of new data types, including those from social, machine and mobile sources.