The future of big data: 5 predictions from experts for 2020-2025

Name: 木村芳華
Student ID: D0740902
Website: https://www.itransition.com/blog/the-future-of-big-data
Ten years ago, after the global data began to grow exponentially, there was no revenue breakdown. It is mainly carried out via the Internet, including social networks, Web search requests, text messages and media files. IoT devices and sensors have created another huge data sharing. There are expert opinions and five predictions in this article.
1.     Data volumes will continue to increase and migrate to the cloud
Most big data experts believe because most of the people are doing everything on the internet so that the amount of data generated in the future will grow exponentially.
2.     Machine learning will continue to change the landscape
Experts believe that due to more advanced unsupervised algorithms, deeper personalization, and cognitive services, the ability of computers to learn from data will be greatly improved.
3.     Data scientists and CDOs will be in high demand
If the amount of data continues to grow, the gap between the needs and availability of data professionals will also grow, so it will have a lot of needs in data scientists and CDOs.
4.     Privacy will remain a hot issue
The increasing amount of data presents extra challenges in protecting data from intrusions and cyberattacks because the level of data protection cannot catch up with the data growth rate.
5.     Fast data and actionable data will come to the forefront
Big data usually relies on Hadoop and NoSQL databases to analyze information in batch mode, but fast data is not the same, fast data allows processing in real-time streams. Because of this stream processing, data can be quickly analyzed in as little as one millisecond. If the value that provides for organizations rises, that means the organizations can make decisions and take action immediately when the data comes.

Comments

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more