Crucial Big Data Trends That You Need To Know About

Well, with the coming up of modern technology, the world of big data is no more a wonder now. Most of the companies are adopting some sort of big data technology as inferred by a 2016 survey report. And the report also told that 40% of the companies are adopting this trending technology. Moreover, it is also expected that another 30% of companies are going to adopt this technology very soon. With that said, given below are the names of the most popular form of big data trends being the most prevalent now.

1.      Edge Computing

This technology can help companies deal with their IoT big data in their daily parlance. In the case of edge computing, the big data projects are conducted quite close to the sensors and IoT devices. And it doesn’t prefer using the cloud or the data center instead. And companies can retrieve some remarkable benefits from it. It not only saves a lot of their cloud computing costs but serve a number of other purposes as well. And this happens as a result of less data flowing over their networks. This can improve performance reasonably which leads to saving your cloud computing costs.

2.      IoT

The IoT also has a positive impact on the big data trend. For instance, at least 31.4% of the companies have integrated IoT at their organizations. And another 43% is believed to integrate the technology of IoT within the forthcoming 12 months. This report was inferred by the IDC in the year 2016.

With the passage of time, companies will require even newer versions of technologies and devices to meet their varying needs. And as the field of IoT is becoming more popular, the demands to handle big data resources are increasing as well. Hence, most of the companies will require newer version of tools and technologies to handle IoT smartly.

3.      Intelligent Security

There are many organizations who are integrating their big data tools into their security strategy. If you want relevant IT information, you can always refer to the organization’s security log data. Here you will get valuable information regarding some erstwhile cyber attacks. And thereby, you can use these data effectively for your future use. Hence, some organizations are integrating the security information and event management (SIEM) software with big data projects like Hadoop. On the contrary, other companies are resorting to some security vendors to handle their big data assessment capacities efficiently.

4.      Big Data Intelligent Applications

The various organizations are using AI technologies and machine learning to frame cutting-edge intelligent apps. And these apps help in assessing big data frameworks. And this in turn helps in evaluating the previous behavior of the users. Hence, it leads to better customer service up to a reasonable extent. And in this regard, the recommendation engines can be set as an apt example. And it has helped in framing different entertainment as well as ecommerce apps. And it is expected that within the next 10 years, almost every sort of application software will integrate some form of AI into it.

5.      Predictive Analytics

Machine learning is deeply interconnected with predictive analytics. More often than not, the ML systems provide the engines for the predictive analytics software. Because, previously, organizations used to evaluate their data by reverting back at them. But this practice didn’t remain in existence for a long time. And people started using different types of analytics tools. And these tools helped in understanding about what exactly had happed previously.

Usage

On the contrary, the number of predictive analytics users were found to be surprisingly low. As low as 29% only. On the contrary, there are many predictive analytics experts who are coming up with different types of innovative analytics tools. This is actually with the motive to increase the number of users within the next couple of years. And in turn, will garner more of profit margins than what it was the case before.

Final thoughts!

So, why waiting any longer? If you are also a business aspirant and want to optimize the tool of big data, then do look after the latest Big Data trends. 

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