Promises and Challenges of Big Data Computing in Health Sciences

We explained the steps for Big Data projects: 1. Formulate your question; 2. Find the right ways (smart devices, Internet, hospitals …) to collect your data; 3. Store the data; 4. Analyze your data; 5. Generate the analysis report with vivid visualization. 6. Evaluate the project: problem solved or start over. The latest applications of Big Data in health sciences were reviewed. The cutting edge computational technologies of big data collection, storage, transferring, and the state-of-the-art analytical methods were introduced. The future perspectives of health sciences in the era of Big Data were discussed.