What is Data Streaming?
Data streaming is when small bits of data are sent consistently, typically through multiple channels. Over time, the amount of data sent often amounts to terabytes and would be too overwhelming for manual evaluation. While everything can be digitally sent in real-time, it’s up to the software using it to filter what’s displayed.
Data streaming is often utilized as an alternative to a periodic, batch data dump approach. Instead of grabbing data at set intervals, streamed data is received nearly as soon as it’s generated. Although the buzzword is often associated with watching videos online, that is only one of many possible implementations of the technology.
How is Data Streaming Used?
Keep in mind that any form of data may be streamed. This makes the possibilities involving data streaming effectively limitless. It’s proven to be a game-changer for Business Analytics systems and more. From agriculture to the fin-tech sector to gaming, it’s used all over the web.
One common industry application of data streaming is in the transportation and logistics field. Using this technology, managers can see live supply chain statistics. In combination with artificial intelligence, potential roadblocks can be detected after analysis of streamed data and alternative approaches can be taken so deadlines are always met.
Data streaming doesn’t only benefit employees working in the field. Using Business Analytics tools, administrators, and executives can easily see real-time data or analyze data from specific time periods.
Why Should We Use Data Streaming?
Data silos and disparate data sources have plagued the industry for countless years. Data streaming allows real-time, relevant information to be displayed to those who need access to it the most. Rather than keeping an excessive amount of data tucked away on a server rarely accessed, this technology puts decision-driving information at the forefront.
Previously, this type of real-time view of business processes was seen as impossible. Now that it’s possible to have an internet connection almost everywhere, cloud computing makes live data streaming affordable, and Business Analytics tools are ready to implement data streaming, there’s no reason it would be inaccessible.
While it may be tempting to stick to older ways of processing data, companies who don’t adapt to this new standard will likely find it more difficult to remain competitive over the years. Companies that do incorporate the technology will likely see their operations become more streamlined and find it much easier to analyze and adjust formerly inefficient processes.
