Data: A Growing Problem
There’s no dispute, data volumes are growing exponentially. Huge amounts of data are generated every hour of every day, and this data comes from an ever-increasing variety of sources. It also captures growing volumes of increasingly complex data about customers, suppliers, and operations.
The numbers are staggering:
- 6 billion mobile phones in use today, representing 87% of the world’s population
- 1.2 billion1 mobile Web users in the world today, representing 17% of the world’s population
- 30 billion pieces of content shared on Facebook every month
- More than 60 billion intelligent devices exist in the world today and is expected to rise to more than 200 billion by 2015
- 40% projected growth in data volume every year
And this “Big Data” keeps on growing, both in volume and complexity. Big Data refers to enterprise data that is unstructured, generated from non-traditional sources, and/or real-time — in addition to being large in volume. Enterprises face the challenge and opportunity of storing and analyzing Big Data.
To meet this challenge, many companies should move away from traditional information technology (IT) environments that provide on-premise storage for lower volumes of mainly structured data using traditional business intelligence (BI) tools. Instead, companies should consider adopting a more flexible IT environment that leverages hybrid architectures including cloud computing and has the ability to deal with multiple data types and data volumes in the petabyte/exabyte range. This environment should also allow companies to scale out to handle increasingly complex data.