21. Application of big data techniques to a problem:
Big data techniques are used in various fields like healthcare,
e-commerce, finance, and manufacturing to solve specific problems and make
better decisions. For example, in healthcare, these techniques predict patient
readmission rates by analysing health records. In e-commerce, they personalise
product recommendations based on browsing and purchase history using
recommendation systems. In finance, they detect dishonest financial activities by
analysing financial data
with anomaly detection algorithms. In manufacturing, they predict equipment
failures by analysing measurement device data with predictive maintenance
models. These techniques involve problem definition, data collection, data preparation,
analysis, model training, evaluation, improvement, deployment, and continuous
monitoring to get valuable insights from large datasets. Overall, they aim to
improve outcomes such as patient care, sales, fraud detection, and operational
efficiency while reducing costs.
Application of big data techniques to a problem
