What is big data?
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.
Big data spans three dimensions: Volume, Velocity and Variety.
Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.
Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.
Variety: Big data is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together.
Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, to make your business more agile, and to answer questions that were previously considered beyond your reach. Until now, there was no practical way to harvest this opportunity. Today, IBM’s platform for big data uses state of the art technologies including patented advanced analytics to open the door to a world of possibilities.
Understanding Big Data
Gain insight into IBM’s unique in-motion and at-rest big data analytics platform.
The Forrester Wave™: Enterprise Hadoop Solutions
This Wave report evaluates 13 hadoop vendors against 15 criteria with IBM being placed in the leadership category.
Selecting Your First Big Data Project
In this blog series, learn how to select, staff and plan your first big data project.
Big data strategy: Move the analytics closer to the data
Join the big data conversation
Big data discussions, idea sharing, direct interactions with big data experts, and more happening all day, every day.