Spark Streaming is beneficial for e-commerce and fraud detection
Posted by emmathompson on October 26th, 2018
Spark Stream is an essential tool for stream analytics. Spark which is an inbuilt memory processor provides data platform where an innumerable amount of data can be processed. It mainly points out faults in the database of your business which makes your processing easier.
Spark is mainly a software which computes a large amount of data for live streaming. Whether you own a small or a large organization, you will need to detect frauds in your system database and stream data in real time which ultimately will help you earn profits.
There are various Spark streaming use cases which range from real-time big data analysis on an e-commerce platform to detecting and evaluating frauds in the banking sector:
• If you own an e-commerce website, you will understand the usage of a dashboard which streams real data for your business. Spark engine divides your input data into batches which can be further be processed.
• You might have often observed that when you purchase a product from an online store and save the product in your cart for buying, you witness that your product now specifies as bought and as soon as the product gets dispatched the status turns to “shipped.”
• Spark engine then processes each batch and generates the stream of output data for every single batch. At the final stage, small batches are created, which displays the number of product purchased, delivered and shipped in that batch itself.
• In comparison to other software, Spark keeps on functioning until it is stopped manually.
Spark streaming use cases do not only suffice themselves to the e-commerce platform, but Spark stream is also used in the banking sector to detect fraud through real-time big data:
• Spark Streaming obtains bank transactions as input which further creates batches from this input data. The Spark engine processes each batch and through its evaluation method points out the fraudulent transactions.
• Such a structured system allows banks to take appropriate and immediate action as soon as a transaction gets displayed as a fraudulent transaction in their computer processors. Spark stream is the only prevalent software in recent times which have helped banks to catch frauds taking place through card machines.
Therefore, streaming which is used in various industries has proved to be the most advantageous for e-commerce and banking sector as it helps you to acquire new business ventures, attain revenue through streams which ultimately creates an impact on your profits in a positive manner. Through its continuous usage, it ensures increased customer satisfaction and helps you in developing a new relationship with prospective customers.Also See: E Commerce, Spark Streaming, Spark Stream, Spark Engine, Spark, Data, Stream
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