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.

By 2025, healthcare data is expected to grow at an average annual rate of 36%, far outpacing other sectors such as manufacturing, financial services, the media industry, and entertainment.

This year's Gartner release on the key data and analytics trends for data and analytics leaders to leverage in the enterprise in 2022 breaks down into three main themes: energizing and diversifying the enterprise, empowering people and decision making, and institutionalizing trust.

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.

In learning Big Data process, Hadoop is important as a core module for Big Data development.

Cloudera, the hybrid data company, announced the expansion of its Open Lake Warehouse All-in-One product, enabling customers to provide the foundation for analytics and artificial intelligence (AI) capabilities for all cloud and local data in the enterprise.

Gartner has released the top 10 data and analytics (D&A) trends for 2023. These trends can guide data and analytics leaders in anticipating change and turning huge variables into new business opportunities, thus opening up new sources of value for their enterprise organizations.

In the context of digital transformation, as it relates to business change and digital support, the need for IT departments and business departments to work closely together, the responsibility is not clear if it is even easier to fall into the whirlpool of meetings and communication.

It has been on the lookout for digitization for a long time, it's just that I'm hesitant to do it." This is probably the heart of many business operators. The key to the problems encountered by traditional manufacturing enterprises still lies in the weak foundation of digitalization.

In the era of big data, data has become an important asset for enterprises and individuals, and how to extract useful information and tap potential value from massive data has become a concern for every organization and individual. As an intuitive and efficient way to display data, large visualization screen is gradually becoming the first choice of enterprises and individuals.