Why do 85% of Big Data projects end up in failure?
Companies tend to make their Big Data projects large in size and scope when implementing them, but the truth is that most Big Data projects usually end up in failure.
Big Data
39 posts
How big data analytics is reshaping the future of smart cities
As the world continues to urbanize and the amount of data generated by cities grows, the importance of big data analytics in shaping the future of urban life will only increase.
Big Data Case Study Sharing - "Interesting Big Data"
Big data has been closely related to our life, many enterprises have started to use big data, even a small thing in our life may be related to big data.
3 Ways to Overcome Big Data Obstacles
In order to unlock the potential of advanced visualizations that enable organizations to analyze multiple sources of information and uncover hidden patterns and trends, certain challenges of leveraging big data should be addressed.
Your privacy, how does big data know
On the Internet, everyone leaks certain fragments of information more or less, either actively or passively. When this information is mined by big data, there is a risk of privacy leakage and raises information security issues.
How Research Institutes Should Use Data Analytics Tools to Improve Research Efficiency
With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.
3 Ways to Successfully Manage and Protect Your Data
Security solutions that work well locally or in the cloud can be vulnerable when used in a hybrid data center, and organizations need a new approach to meet the data security needs of hybrid data centers.
Transforming the construction industry through digital twin modeling
The digital twin is a technology for real-time virtual modeling of objects, from buildings to entire cities, an emerging concept that could transform the built environment and real estate industry in many ways.
To read big data, you have to master these core technologies first
When it comes to big data, many people can say some, but if you ask what are the core technologies of big data, it is estimated that many people will not be able to say
How to Improve Big Data Performance with Low Latency Analytics?
Low-latency analytics is a technology that enables processing and analyzing big data in real time or near real time. It is critical in big data processing because it allows organizations to extract insights from data faster.