Big Data Techniques is a collection of techniques that are used to analyze vast and diverse data sets. They incorporate advanced analytic technologies and the data could vary from terabytes to zettabytes in size. It can contain structured, semi-structured and unstructured information. It can come from multiple sources and is produced by a variety of applications.

Everyday, customers generate an abundance of data each day when they send emails, use apps, post on social networks and react to services or products. They also create information when they go into the store, speak to the customer service rep or make a purchase online. Businesses collect all of this data in the course of their operations and use it to improve customer loyalty or expand into new geographic areas, or create new products.

Data is usually delivered in a different format than it was in the past. Data is no longer stored in databases or spreadsheets rather, it is sourced from social media, wearables, and other platforms for technology. Text images, videos, and text are usually unstructured https://myvirtualdataroom.net/big-data-techniques-that-make-business-processes-more-effective/ and possess no rigid structure. This diversity has helped put the “big” into big data.

Velocity is the second characteristic of big data and it is the speed at which data is created and moves around. All of these actions like sending a text message or responding to a Facebook, Instagram or credit card purchase, or making a purchase, result in data that needs to be processed immediately. The volume of data is hard to manage due to this speed.