Let me address your three points; nonesense, nonsense and nonsense. As editor in chief of engineering magazines Design News and EDN from 2004-09, we studied the contrived U.S. engineer shortage closely. That China was producing 600,000 engineers a year and India 350,000 was pure fiction. Some had two years of high school and many at best could be classified as technicians, not engineers as the profession would be defined in the U.S.
What's disturbing about Infosys is that it floods the market with cheaper labor when those jobs could be filled on a permanent basis with U.S. citizens. Using your logic, why have any limits on H1-B?
Yes, I frequently walk through the campus of MIT where I attend conferences. There's a great mix of ethnicities. So what?
There are many supremely hard-working and talented Americans citizens, who do not have jobs. To me, they should be first in line.
It’s no secret that big data offers big value. But enterprises know that to exploit it, they must capture a tremendous volume of data, in myriad forms, and contain it in a database capable of running complex and comprehensive analyses.
Today, costs of scaling traditional systems have grown prohibitive. So the pressure is on to find a new solution. Enter: Hadoop.
Technology has profoundly transformed the world in recent years. In the last decade alone, mobility, cloud, social media and big data have changed the landscape of IT dramatically. One group affected perhaps the most by the ever-changing landscape is the CIO.
There’s a lot of noise out there about DevOps right now—and with good reason. With its goals of removing IT bottlenecks and putting the business back in charge of innovation speed, DevOps focuses on putting new ideas and tools into action faster and more efficiently. The idea of extending “agility” from conception to delivery improves IT’s ability to respond to business needs.
Think about how its principles can yield meaningful results for your business.
The business intelligence insights your organization has in all the data it stores can lead to game-changing opportunities--if your analytics system has the power to uncover them. Traditional data analytics are often maxed out by big data, unable to return results in a timely fashion, resulting in missed business opportunities. Business and marketing leaders can’t execute on new ideas to generate more revenue because IT can’t support their requests to add new data sources to existing queries.