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Big Data Education
Take a virtual tour through IBM Impact 2014 and discover how to elevate your big data and analytics with live streaming videos, in-depth coverage, big announcements from the event and more!
Machine data is all around us: logs, sensors, GPS devices and meters to name a few. The enormous growth of machine data has become a major driver of big data solutions and a challenge for many organizations. The complex and diverse nature of machine data leaves many organizations unable to leverage it. Yet without it, they’re making business decisions on a fraction of the information available to them.
IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
Aberdeen has long illustrated the benefits of well-managed, trustworthy data, and the problems associated with poor data quality. As data volumes rapidly expand and data environments become more complex, what were once small nuisances evolve into massive, company-wide problems. In order to avoid these pitfalls and achieve better business efficiency and operational performance, top performing organizations have found it necessary to invest in tools such as data security, master data management, data quality, data lifecycle management and data integration. Using research collected from December 2009 to December 2012, Aberdeen examines the hidden financial penalties for lapsed information governance and untrustworthy data.
Infographic: Big Data is growing and moving fast from a variety of sources; are you keeping up?
Infographic: Our love affair with big data is going strong. This infographic depicts 6 things to focus on to keep your relationship with big data happy—critical tools and practices that will reward you in improved reliability, stability and performance.