Type of Analytics With BDA

Using BDA, we can perform different type of Analytics, namely Predictive, Prescriptive, Descriptive and Cognitive. Among all, Predictive is important to get the useful insights from the data. Predictive analytics are mainly performed by applications which needs to predict patterns in Real Time Analytics scenario. Predictive analytics improve fraud detection and speed up claims processing.

Cognitive Analytics working on cognitive computing systems can help business organizations, in terms of fast, accurate results by using Neural and Robotics like environments and setup. These systems learn and interact naturally with people to extend what either humans or machine could do on their own.

Typical live example is IBM Watson computer won the Jeopardy game in 2011 which is a purely super computer which won against former two champions of the Jeopardy game. The IBM Watson computer, purely works on cognitive system and it works on NLP (Natural Language Processing).

Form of Data And BDA Environment

Coming to semi-structured and unstructured data, it may not fit well in traditional data warehouses based on relational databases. So the Volume of data that comes day to day cannot be managed by the traditional systems. So we require Big Data and its analytics to apply faster methods of processing and getting valuable insights from the data in less span of time.

From working with Big Data Analytics, an open source Apache Hadoop came into the picture and it provides reliable, scalable and distributed computing environment. From descriptive analytics to predictive analytics, we can perform any type of analytics using the Hadoop Big Data Environment.

The environment includes its components like YARN, HDFS, Mapreduce, Hive, Pig and Hbase. Muscle Databases such as MongoDB, Cassandra, CouchDB comes into the Big Data environment basket.