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.
Gartner defines Big Data as high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
According to IBM, 80% of data captured today is unstructured, from 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. All of this unstructured data is Big Data.
What does Hadoop solve?
Organizations are discovering that important predictions can be made by sorting through and analyzing Big Data.
However, since 80% of this data is “unstructured”, it must be formatted (or structured) in a way that makes it suitable for data mining and subsequent analysis.
Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes.
What is Hadoop?
Apache™ Hadoop® is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software’s ability to detect and handle failures at the application layer.
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