Access "Information delivery snags create big data analytics bottleneck"
This article is part of the Nov. 2012, Volume 1, Issue 11 issue of BI Trends + Strategies Issue 11
Big data is all the rage these days because of a combination of forces, including the continued growth of data volumes, the increased velocity of data creation and updates from a variety of internal and external sources, and the availability of easily installed tools for building scalable analytics platforms using commodity hardware. Similar to the boom in automobile use driven by the increased capacity of the interstate highway system, the improvements in computational power and speed for business intelligence (BI) and analytics applications enable broader dissemination of actionable knowledge in organizations. When that's coupled with demands from business users for faster access to information to speed up decision making, the pressure to provide right-time intelligence capabilities grows exponentially. But in many organizations, there is a bottleneck in the technology infrastructure causing unwanted delays in the delivery of information. What can be done to break that bottleneck? Batch extract, transform and load (ETL) processes might have been ... Access >>>
Premium Content for Free.
Data visualizations get more advanced -- and more complicated
by Craig Stedman
With data visualization tools offering more and more functionality, managing projects to visualize data is becoming a bigger challenge for BI teams.
Successful data stewardship framework needs solid plan, firm focus
by Beth Stackpole
Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.
- Data visualizations get more advanced -- and more complicated by Craig Stedman
Visualizing data forces BI teams to take a deep look at corporate info
by Christine Parizo
Data visualizations have become key components of BI applications. But there's more than meets the eye to enabling end users to 'see' information.
- Visualizing data forces BI teams to take a deep look at corporate info by Christine Parizo
Information delivery snags create big data analytics bottleneck
by David Loshin
Big data analytics applications require high-speed data availability. But one key part of many IT infrastructures isn't prepared for that challenge.
- Information delivery snags create big data analytics bottleneck by David Loshin
More Premium Content Accessible For Free
Building effective analytical models is a key facet of big data analytics applications -- though doing so is easier said than done.
This e-book ...
Predictive analytics employs statistical or machine-learning models to discover patterns and relationships in data, thereby enabling the prediction ...
Sensors capture large volumes of data about the operations of industrial equipment; similarly, log files gather huge amounts of information about ...