Sentence examples for before the big data from inspiring English sources
For the input (see also in "Big data input") and output (see also "Output the result of big data analysis") of big data, several methods and solutions proposed before the big data age (see also "Data input") can also be employed for big data analytics in most cases.
This example indicates that Intrusion Detection has been facing Big Data challenges long before the "Big Data" term was introduced.
Duetto will have to compete with inefficient homegrown software built by the big hotel chains, as well as older companies like IDeaS and Rainmaker, which started well before the big data age.
Nevertheless, these issues existed long before the big data era, in which we live, began.
Lonsdale, a Stanford graduate himself, was a protégé of Peter Thiel earlier in his career, working with Thiel at his hedge fund, Clarium Capital, before cofounding the big data company Palantir Technologies with Thiel, Alex Karp, Stephen Cohen and Nathan Gettings.
The fact is that assuming we have infinite computing resources for big data analytics is a thoroughly impracticable plan, the input and output ratio (e.g., return on investment) will need to be taken into account before an organization constructs the big data analytics center.
In spite of the security that we have to tighten for big data analytics before it can gather more data from everywhere, the fact is that until now, there are still not many studies focusing on the security issues of the big data analytics.
For me, the Space Shuttle Challenger disaster serves as an example – it may have been well before the term Big Data was coined but the analysts at NASA were dealing with very large amounts of information for the time – monitoring sensors equipped throughout the shuttle.
McLeod concludes, "OKCupid, Match, eHarmony — they were all invented before Facebook, before mobile, before big data.
As we have said before, these days big data is the name of the game, and this deal is as much an acquisition to expand products and customer reach as it is to expand data sources to be able to analyse and combat malicious attacks more effectively.
