While legal and technical aspects of the cloud journey are important, the first consideration is what will run on that cloud.
Recently, I was presenting to the IT strategy team of a large enterprise. I talked about the journey to cloud, what are the things you should review and what decisions should you take. Very quickly, the discussion boiled down to technology and legal aspects.
It has flipped the conerns of putting data into the cloud from being abut data loss or the vendor and their preventions for being hacked to concern the vendor has given taps to the government and how that data is being used.
It has also changed the discussion for that of possibilities (what could go wrong) to one of certanties (we know they are).
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.