IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
Big Data Education
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.
Infographic: Certain things cannot be overlooked when dealing with data. Best practices must be instituted for the care of big data just as they have long been in small data. Before enjoying big data's amazing analytical feats, you must first get it under control - with tools that are up to the challenge of implementing best practices in a big data world.
Infographic: Big data is the digital convergence of structured data found inside databases, and unstructured data flowing from new sources like social networks, mobile devices, sensors, RFID, smart meters and financial systems. Today, organizations can capture and analyze any data, regardless of what type, how much, or how fast it is moving, and make more informed decisions based on that information.
Infographic: Today’s rapidly growing flood of big data represents immense opportunity for forward-thinking marketers. But to fully leverage the potential that exists within massive streams of structured and unstructured data, organizations must quickly optimize ad delivery, evaluate campaign results, improve site selection and retarget ads. This is where the IBM Netezza® Factor comes in play, enabling a fluid analysis of complex data capable of unleashing a torrent of innovative, next-level ideas and results.