According to the Global Digital Statistics 2014, out of the total world population of 7 Billion, about 2.5 Billion people are internet users, about 1.8 Billion are active on social networks and a staggering number of 6.5 Billion people of the world have mobile phones.
The amount of big data in the world today is overwhelming and the world’s data is doubling every two years. 90% of the world’s data has been created in the last 2 years alone. It’s predicted that by 2020, 35 zettabytes of data will be created. A zettabyte has 21 zeroes. I know, right? And that’s not all. 1/3rd of that data is estimated to be stored in the cloud.
A recent study shows that everyday, 1 Billion pieces of content are shared via Facebook’s Open Graph, 2.5 Quintillion bytes of data are generated by people and 8 years worth of video gets uploaded on YouTube daily.
So, it’s time to not only understand what Big Data is but how to make the best use of it to ride the big data wave. Inside all of this Big Data, there are trends, patterns and intelligence. Using analytics to make sense of big data provides an unparalleled ability to understand to understand the past, monitor the present and anticipate the future. Are you ready? Check out this Infographic by Ikanow.
So, what is Big Data made up of?
Big Data is made up of primarily 3 types of data.
1. Unstructured: Data that does not reside in fixed locations generally refers to free form text. Examples- text, PDFs, web pages, blogs, emails.
2. Structured: Data that resides in fixed fields within a record or file. Examples- spreadsheets, XML files and relational databases.
3. Semi- structured: Between the two forms where “tags” or “structure” are associated or embedded within unstructured data.
So, what kind of tools can be used to analyze Big Data?
Some common tools used today are Apache Hadoop, Elasticsearch, MongoDB and Infinit.e.
Your Turn: Are you leveraging Big Data to find smarter insights for your Organization? What has been your experience? Share with us in comments.