All industries have started adopting big data technology, as they have seen the advantages that companies are gaining after implementing it into their existing business model. Traditionally, companies were more focused on batch job implementation, and there has always been a lag of several minutes, or sometimes hours, between the arrival of data and it being displayed to the user. This leads to a delay in decision making, which in turn leads to revenue loss. This is where real-time analytics comes into the picture.
Real-time analytics is a methodology in which data is processed immediately after the system receives it and processed data gets available for use. Spark Streaming helps in achieving such objectives very efficiently. This chapter will cover a brief introduction to the following topics:
- Spark Streaming
- Integration of Apache...
