R. Danes
Latest from R. Danes
Stacking the odds: Outsourcing lower-stack IT to focus on value-driving applications | #BigData
We frequently hear that companies want to focus their efforts up the stack, particularly on the customer-facing applications that differentiate them in the market. With all the innovation taking place in application development these days (containers, Big Data, SaaS, etc.) they are on a seemingly endless learning curve trying to stay up-to-date and competitive. Many ...
Legacy companies can’t wait to start monetizing data — so where’s the application? | #BigData
Is it a good time to be a digital-only company or what? Some recent studies from MIT show that some of these assetless companies derive up to 84 percent of their S&P value just from data, according to Brad Tewksbury, senior director of Global Business Development, Exadata and Big Data, at Oracle. It’s enough to ...
People puzzle: Combining social and CRM data to suss out customers | #BigData
Companies who use data to construct a picture of an individual customer have a daunting challenge in front of them. On the one hand, there is “hard” data on transactions, buying patterns and vital consumer stats. On the other hand, there is now a universe of social networking “soft” data that can provide extremely pertinent ...
Does the modern application need 24/7 data replication? | #BigData
Replication of data is necessary for speed, function and consistency of data applications across environments. But a key question is how often a company’s data is replicating? For instance, if a business has a four-day replication cycle, what becomes of the past three days of data in the event of a disaster at the start of ...
Can Big Data level the playing field for digital-native and non-native companies? | #BigData
In the age of Amazon, Zappos and other digital-native giants, smaller businesses with traditional operations have had to face a hard reality: A company with a technological advantage could come along and eat your lunch any day. Is there any way they can steel themselves against a technological Goliath rising and monopolizing their markets? One ...
Data scientist or data janitor? Democratize data to get more from the data pros | #BigData
Data scientists are a rare and coveted breed of IT professional. Data science is a relatively young field; many computer science programs at universities still do not offer data science specializations. The data scientists that do exist typically go to work for a few deep-pocketed companies who can afford them. What is a smaller company ...
Take it to the data: Working smarter, not harder on siloed data sets | #BigData
The main problem with getting Big Data to perform is, perhaps not surprisingly, its size. Massive data sets have to be stored somewhere, and this sometimes entails silos, which can be problematic for analytics. To get a single accurate answer to a Business Intelligence (BI) inquiry, huge quantities of data from across different categories have join in ...
Reality check: Getting real about the public cloud and regulatory compliance | #BigData
Ever read the fine print on the regulatory compliance rules for storing customers’ data? It may be wise to give it a once-over before pulling the plug on the physical data center and throwing everything in the public cloud. Rules and regulations about where and how data can be stored are a major concern for some companies, and ...
Surfers wanted: How will companies ride the coming wave of data technologies? | #IBMCDO
Chief Data Officers (CDOs) are a small elite in technology, but their numbers are swelling. Not long ago, theCUBE, from the SiliconANGLE Media team, interviewed staff from the University of Arkansas at Little Rock about the special CDO training program the school is rolling out. And theCUBE learned that the real driver of demand for CDOs is the mega wave of Big ...