Big Data Techniques are a group of methods used to analyze huge, diverse data sets. They how your business can save money incorporate advanced analytic technologies and the data may range from terabytes to Zettabytes in size. It may include semi-structured, structured and unstructured information. It is produced by a variety of applications and come from a variety of sources.
Each day, customers generate a lot of data when they send emails or use apps, share information on social media, and respond to services or products. They also generate data when they enter the store, talk to the customer service rep or make a purchase online. Businesses collect all of this data as part of their business and use it to improve customer loyalty, expand into new geographic areas or develop new products.
Data is typically presented in a different format than it was in the past. It’s no longer presented in spreadsheets or database files and is instead accessed via wearable devices, social media and various other technology platforms. It is typically unstructured videos, images, text and doesn’t have a fixed structure. This variety has helped put the “big” into big data.
The other characteristic of big-data is speed. This refers to the speed that data is generated and re-routed. When you send a text message, respond to an Facebook or Instagram post, or make a purchase on a credit card the actions all create data that must be processed quickly. Big data is difficult to handle because of this speed.