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Big Data Analytics
Big Data Analytics: Future Architectures, Skills and Roadmaps for the CIO
The ‘Big Data Era’ has arrived — multi-petabyte data warehouses, social media interactions, real-time sensory data feeds, geospatial information and other new data sources are presenting organisations with a range of challenges, but also significant opportunities.
IDC believes that as CIOs start to adopt the new class of technologies required to process, discover and analyse these massive data sets that cannot be dealt with using traditional databases and architectures, it will become clear that the real value will be derived from the high-end analytics that can be performed on the increasing volumes, velocity and variety of data that organisations are generating – or Big Data analytics.
One of the key differences between analytics in the traditional mode, and what we are dealing with in terms of the Big Data era is that we are gathering data that we may or may not need – and from the perspective of analysis, this means ‘we don’t know what we don’t know’ – hence, the variables and models are likely to be entirely new, requiring a different infrastructure strategy and perhaps most importantly, new skill sets.
This report explores the initial impact that Big Data is having on organisations, particularly the IT departments – which is being forced to re-assess architectures, delivery models and future roadmaps.
This IDC report is sponsored by SAS.
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International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications and consumer technology markets