Choosing a Platform for Big Data

Is it time to choose a platform for big data processing? The truth is that data is an asset. Choosing the right platform plays an important role in managing this asset correctly. You’re going to be hearing a lot about stream processing and batch processing as you do your homework and choose a platform that works for your enterprise. There are many innovative options available today that can serve enterprises of all sizes. How can you choose a platform that truly fits your enterprise? The answer will likely depend on the type of industry you operate in and what you plan to achieve using data. Discover the differences between stream processing and batch processing to discover which platform can help you make the most of the data you’re working with.

A Glance at Stream Processing

What exactly is stream processing? The best way to describe stream processing is to call it a consistent, constant and accurate system for catching and processing data. Picture a river that is constantly flowing with information without slowing down or becoming stagnant if you need a visual representation of stream processing. This is an ideal choice if your enterprise requires a platform with the ability to process information in real time. Stream processing offers minimal latency and is popularly used in industries that deal with security and finance. The interesting thing about this type of data platform is that it can be tailored to fit just about any scenario. For instance, stream processing can allow a company to react to customer shopping habits in real time. This same technology can also be tailored to detect, isolate and stop potential cyber attacks based on discrepancies in network activity. Today’s platforms are even smart enough to use data to predict and adapt to new risks. In addition to physical risks, stream processing can help to combat insurance fraud based on triggers and flags. This makes it an excellent choice if you need a platform that offers real-time performance without human decision making.

A Glance at Batch Processing

Batch processing is a bit more segmented than stream processing. It requires separate programs for input, process and output. You can picture a platform that handles batch processing as a river that empties into separate pools that hold information. That information must then be acted on by end users. An enterprise would rely on batch processing to read large files and generate reports. This is an ideal choice for educational institutions or enterprises that deal with payroll and billing. Healthcare office settings can benefit from platforms that deal with batch processing because this option works smoothly with the day-to-day flow of patient care. While processing doesn’t occur constantly, it can be scheduled to run when needed without human interaction. Batch processing offers opportunities to blend automation and human action.

Choosing the Right Platform for Your Enterprise

Choosing between stream processing and batch processing essentially comes down to how you need to interact with data. Batch processing is a great option if you’re looking for a way to supplement a workflow by processing a high volume of information on a per-job basis. Stream processing is ideal if the work you’re doing simply cannot tolerate lapses in streaming. Choosing the platform that offers what your enterprise really needs can help you to turn data into one of your most powerful business assets.

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