Operational Vs Analytical : Big Data Technology

There are two technologies used in Big Data Operational and Analytical. Operational capabilities include capturing and storing data in real time where as analytical capabilities include complex analysis of all the data. They both are complementary to each other hence deployed together.

Operational and analytical technologies of Big Data have different requirement and in order to address those requirement different architecture has evolved. Operational systems include NoSql database which deals with responding to concurrent requests. Analytical Systems focuses on complex queries which touch almost all the data.Both system work in tandem and manages hundreds of terabytes of data spanning over billion of records.

Operational Big Data

For Operational Big Data NoSql is generally used. It was developed to address the shortcoming of traditional database and it is faster and can deal with large quantity of data spread over multiple servers. We are also using cloud computing architectures to allow massive computation to run effectively as well as it is cost efficient. This has made Big Data workload easier to manage, faster to implement as well as cheaper.
Here in addition to interaction with user it also provide artificial intelligence about the active data. For example in games the moves of user are studies and next course of actions are suggested. NoSql can analyse real-time data and can generate conclusion based on that.

Analytical Big Data

Analytical Big Data is addressed by MPP database systems and MapReduce. These technologies has evolved as a result of shortcoming in traditional database which deals which one servers only. On the other hand MapReduce provides new method of analyzing data which is beyond the scope of SQL.

As volumes of data generated by users is increasing the analytical workload in realtime has also increased. So MapReduce has emerged as the first choice for Big Data analytics as its algorithm is superior. No Sql also provide limited capabilities in MapReduce technique but generally we prefer copying data from NoSql system to Analytical Systems such as Hadoop for MapReduce.