Which Of The Following Statements About Big Data Is True?

which of the following statements about big data is true

Which Of The Following Statements About Big Data Is True?

I’ve been asked a number of times, “What is the true promise of big data?” This article attempts to answer that question by briefly outlining what has been said here so far. It will conclude with a brief review of what is likely to be stated in the future. At the end of this article, you should have a clear sense of whether or not you believe any of the following statements about big data to be true.

One of the biggest promises is that big data can replace all of the current software. Software has always had a unique ability to solve certain problems. The computer that we use every day to surf the web and to organize our files uses some form of software. Whether this software is proprietary public, or a combination of both, it is still part of what allows us to do what we do.

However, software is not always as effective as it was when it was new. Developers have grown weary of the constant new software releases. They have also become weary of the expenses that go along with developing new software. When I worked at Sun, we used to joke that we were running around implementing the new software on the weekends. Many of the Sun employees that were involved in this process began to leave as they got tired of the repetitive nature of the work.

In discussing what is likely to be true in the future, one of the biggest promises made is that big data analytics will lead to new software solutions that are much more efficient. As my former colleagues at Sun found out, when you have too many users trying to access the same information at the same time, it can cause real time inaccuracies. The best software solutions will collect data intelligently, as opposed to relying on human memory to collect the same data.

Another prediction is that there will come a day when the big data set of the World Wide Web will be more of a problem than it is now. This may lead to some government action. Regulators may have to step up their game and implement tougher regulations on how online companies use big data. As more regulatory compliance teams rise up, the threats of Big Data will only increase.

The third prediction is that we will no longer see the same types of big data sets used in trade show displays or advertising campaigns. Instead, the software that we use to analyze the massive amounts of data will allow us to make better business decisions. We will be able to use the information we gather to help improve our customer service. Eventually, we may be able to use the information to predict which advertising campaigns will be most successful.

The fourth prediction is likely to cause some employees to start asking: “What’s the big secret? “, and “Why isn’t everyone using this new technology before?”. We are all so accustomed to working with traditional data and using computers, it may seem strange to suddenly become accustomed to big data. Fortunately, there is plenty of training to get us accustomed to the new software.

The fifth prediction is probably the biggest surprise for many people. It states that over time, we will likely not have to store all of the data ever created. We will be able to extract useful information from the massive amounts of data that is available today. In fact, we may even be able to predict future data sets with nearly perfect accuracy.