Search Results: Data (59)
In learning Big Data process, Hadoop is important as a core module for Big Data development.
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 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.
Security of cloud data storage is a top priority for organizations, and there are some best practices that can be followed to ensure that data is protected.
With the development of digitization in all aspects of society and the rapid growth of the digital economy, data has become an important strategic resource in the current era.
Data Warehouse (Data Warehouse) abbreviated as DW, an integrated center for storing large amounts of data. The purpose of the data warehouse is to build an analytics-oriented integrated data environment for the enterprise to provide decision support (Decision-Support).
Data governance is the set of strategies, processes, standards, metrics, and roles that ensure the effective use of data to support an organization in achieving its goals.
Healthcare cloud provides on-cloud reconfiguration of healthcare information business, improves data interoperability and collaboration efficiency, and is generally favored by the industry. At the same time, healthcare organizations are leveraging the healthcare cloud base to enrich healthcare service models and reduce healthcare expenditures.
What is the significance of digital transformation? This is the answer to the question that every enterprise is looking for, and the most common answer is the reinvention of business processes.
The reason that AI can generate accurate answers without relying on traditional databases is because AI can perform applications in natural language processing, machine learning, knowledge graph technology, and semantic analysis techniques.