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.
read more

How does big data start? From small data to big data

To do big data, first of all, you should understand what is the core of your own enterprise or industry. We often find that many enterprises are defeated not by their current competitors, but by many competitors who are not your competitors. For a simple example, everyone thinks that Amazon is an e-commerce company, but this is wrong. Its main revenue now comes from the cloud (cloud service). That is to say, enterprises need to find their own core data (value).
read more

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.
read more

What is big data? What can big data do?

2013 is called the first year of big data, and all walks of life are gradually opening the era of big data applications. Until now, big data is still talked about.
read more

Where does the data for Big Data come from?

Big data has always been a relatively mysterious industry, in recent years because of big data discriminatory pricing only by more than the average person to understand, so have you ever thought about big data whether it is developed or analyzed, where the data inside are coming from?
read more

Benefits of big data analysis and how to analyze big data

Big data analysis is a complex process of analyzing a large amount of data to discover information such as hidden patterns, relevance, market trends and consumer preferences, which helps enterprises make better decisions.
read more

Cloud-native Big Data, Lake-Warehouse Integration, AI for Data - Who's in charge in the future?

What we can predict is that the future of big data technology will continue to evolve along the direction of heterogeneous computing, cloudization, AI convergence, and in-memory computing.
read more

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.
read more

Production control equipment maps, multi-source data analysis issues in-depth mining

High-end equipment manufacturing enterprise factory, there are many production-related equipment and various types of equipment, equipment management work more difficult.
read more

Has the development of big data come to an end?

The data grid can overcome many challenges inherent in big data by driving higher levels of autonomy and data engineering alliances among a wider range of stakeholders. However, big data is not a panacea, it brings a series of risks for enterprises to manage.
read more