Big Data

Three software applications which can be utilised for Big Data and briefly explain the key characteristics of your chosen applications. Apache Hadoop. A distributed processing framework called Apache Hadoop allows large datasets to be processed across clusters of computers. The Hadoop Distributed File System or HDFS stores and processes large amounts of data by using a distributed processing framework called MapReduce. With Hadoop, large amounts of data can be processed across a large number of nodes with fault tolerance, scalability, and high availability. Finance, healthcare, and e-commerce are among the industries that use batch processing to process large datasets.   Apache Hadoop has the following characteristics: Scalability: As data grows, Hadoop's scalability allows it to scale horizontally, making it ideal for dealing with large datasets. Fault tolerance: Due to Hadoop's use of multiple nodes to replicate data, it provides fault tolerance and ensures the durabi

How governments are using a big data platform for crime prevention and what has the impact been? Big data platforms are increasingly being adopted by governments around the world to prevent crime. A wide range of information from various sources, including social media, surveillance cameras, criminal records, financial transactions, etc., can be processed and analysed by these platforms using advanced analytics and machine learning algorithms to identify patterns, trends, and anomalies that may suggest criminal activity. The following are some examples of how governments use big data platforms for crime prevention:   Predictive Policing: Crime data is analysed using big data platforms to identify patterns and hotspots where crimes will occur more frequently in the future. This allows law enforcement agencies to focus on areas at higher risk of crime, which helps them deploy resources more effectively. While some studies have shown that predictive policing reduces crime rates, oth

 Three opportunities of utilising Big Data in Public Services. Enhancing Decision-Making: Decision-making in public services can be improved by leveraging big data. In order for public agencies to make data-driven decisions, they must analyse large amounts of data from a variety of sources, such as social media, sensors, and government databases. Healthcare professionals can, for instance, use big data analytics to predict disease outbreaks, identify high-risk populations, and allocate resources more efficiently. Traffic patterns can be analysed using big data, public transportation routes can be optimized, and infrastructure needs can be identified using big data.   Improving Service Delivery: Service delivery in public services can be enhanced by the use of big data. An example of applying data analytics in public safety is analysing crime patterns, predicting criminal behaviour, and optimizing the deployment of law enforcement resources. Students' performance data can be