Data is exploding from sources like sensors used to gather climate information, posts to social media sites, digital pictures and videos posted online, transaction records of online purchases, and cell phone GPS signals, to name a few sources. Every day, we create 2.5 quintillion bytes of data, so much that 90 percent of the data in the world today has been created in the last two years alone. This data is big data.
Today’s businesses want to leverage the data explosion to create competitive advantages. In fact, 89 percent of CEOs say they want better insight through business intelligence and analytics. An infrastructure that is designed for data means extending beyond traditional sources of data to generate insight by leveraging new forms of information.
Both structured and unstructured data will continue to grow at astronomical rates. Today’s organizations are challenged with managing the volume of data they have. It's difficult to keep pace with the growing amounts of incoming data that could provide vital information to their business to make timely decisions and achieve business goals.
Smarter companies are thinking differently about how to deal with big data that is growing exponentially within their organizations. To meet this challenge, many are deploying Linux-based IT infrastructures designed to capably handle both structured and unstructured data, making it easier to capture, manage and analyze information to drive better-informed business decisions.
IBM PowerLinux big data solutions help businesses gain new insights with scalable, powerful solutions, using Apache Hadoop and IBM InfoSphere BigInsights software to analyze data-at-rest, and InfoSphere Streams software to analyze data-in-motion. The deep integration and optimization of analytics workload performance on PowerLinux enables businesses to run thousands of tasks in parallel to deliver analytics services faster.