Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
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Big Data Is…
Being collected in ever escalating volumes
From more and more sources, such as Internet Of Things
In increasingly high velocities
With a widening variety of unstructured formats and semantic contexts
Big Data Is Not Really Useful
unless insight can be gleaned through analytics!
Static Slide
Big Data Is…
Being collected in ever escalating volumes
From more and more sources, such as Internet Of Things
In increasingly high velocities
With a widening variety of unstructured formats and semantic contexts
Big Data Is Not Really Useful
unless insight can be gleaned through analytics!
Google 1 Trillion web pages per year
Facebook 1 M GB of dis storage
Youtube 20 Petabyes to new video per year
That a user confifgures and controls
Rather than on a local desktop
Cloud providers charge un $.10 per CPU hour for renting MIPS memory space
Google 1 Trillion web pages per year
Facebook 1 M GB of dis storage
Youtube 20 Petabyes to new video per year
That a user confifgures and controls
Rather than on a local desktop
Cloud providers charge un $.10 per CPU hour for renting MIPS memory space
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The advantage of using non-relational dbs to handle both types of data. But unstructured could be much harder to use long term. Hard choices about converting unstructured to structured. Initial DB designs wont support
Have to load maintain and power hudnresd of servers if not in cloud. Jprocessing powerwill be expensive. Because cost rolled into DC, supriese
Different in technology. Means amount of time effort and expertise will vary considerable.