“);
});
try {
$(“div.lazyload_blox_ad”).lazyLoadAd({
threshold : 0, // You can set threshold on how close to the edge ad should come before it is loaded. Default is 0 (when it is visible).
forceLoad : false, // Ad is loaded even if not visible. Default is false.
onLoad : false, // Callback function on call ad loading
onComplete : false, // Callback function when load is loaded
timeout : 1500, // Timeout ad load
debug : false, // For debug use : draw colors border depends on load status
xray : false // For debug use : display a complete page view with ad placements
}) ;
}
catch (exception){
console.log(“error loading lazyload_ad ” + exception);
}
});

According to a recent report from IDC, “worldwide revenues for big data and business analytics will grow from nearly $122 billion in 2015 to more than $187 billion in 2019, an increase of more than 50 percent over the five-year forecast period.”

Anyone in enterprise IT already knows that big data is a big deal. If you can manage and analyze massive amounts of data—I’m talking petabytes—you’ll have access to all sorts of information that will help you run your business better. 

Right? Sadly, for most enterprises, no. 

Here are some hard facts: Cloud computing made big data affordable. Before, you would have to build a new datacenter to house the consolidation of data. Now, you can consolidate data in the cloud, at bargain prices.