The Current State of Streaming Analytics Technology

The business environment has drastically changed over the years. Today, it is characterized by high levels of volatility and uncertainty. In this environment, business executives are finding it increasingly difficult to rely on intuition and experience in decision-making solely, as was the norm in the pastCITATION Mil181 \p 59 \l 1033 (Miller 59). Instead, businesses are turning to streaming analytics technologies as well as other big-data-driven techniques in making sustainable decisions. Yahoo! Finance, is among the entities that have embraced streaming analytics technology in its decision-making process. The entity is a branch of Yahoo!'s network and offers financial news, as well as data and commentary on stocks and financial reports. In this light, this paper seeks to discuss how Yahoo! Finance uses streaming analytics to track, interpret, display, and analyze data for optimal and real-time decision-making. The paper will also explore the current and future state of the technology.

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Streaming analytics technology uses continuous queries to analyze and perform actions on real-time data. By connecting applications with external data sources, the technology enables them to integrate specific data and update the external database with processed information CITATION Per182 \l 1033 (Perera). This information is then used to make decisions. The technology also calculates statistical analytics allowing management and monitoring of live streaming data CITATION Fre16 \l 1033 (Freeman). As such, businesses can know and act upon various events in real-time. Though Yahoo! Finance was closed in 2017, it was re-launched in 2019 and continues to provide important financial information to individuals and enterprises CITATION Hua19 \l 1033 (Huang). This is enabled by the use of streaming analytics technology to analyze and process data and give processed information that can be used to make decisions. The users can also understand risk and opportunity in real-time.

Today, streaming analytics technology has transformed not only the financial sector but also several other industries. Moreover, the technology will play a more significant role in these industries, moving into the future. The use of the technology for algorithmic operations is bound to rise, as well as its application for prescriptive purposes. Live Data Marts will also increase in prominence and Stream, Transform, and Load (STL) will become a big thing in the financial sector. Moreover, historical data will find more uses. It will be evaluated and used to create models to predict future events CITATION Pal17 \l 1033 (Palmer).

As shown in the paper, streaming analytics technology has drastically transformed the financial industry. Yahoo! Finance is an example of entities that use the technology to analyze and process data to help users make informed decisions. Moreover, the paper has shown that the technology will have more uses in the future.

Works Cited

BIBLIOGRAPHY Freeman, Harrine. "Streaming Analytics 101: The What, Why and How." 26 April 2016. Dataversity. 19 April 2020. <https://www.dataversity.net/streaming-analytics-101/>.

Huang, Shen. "Best 5 free stock market APIs in 2020." 15 November 2019. Medium. 2020 April 2020. <https://towardsdatascience.com/best-5-free-stock-market-apis-in-2019-ad91dddec984>.

Miller, Holmes E. "Intuition and decision making for crisis situations." The Routledge Companion to Risk, Crisis and Security in Business (2018): 47-61. <https://www.taylorfrancis.com/books/e/9781315629520/chapters/10.4324/9781315629520-3>.

Palmer, Mark. "The future of streaming analytics in financial services." 2017. CIO. 19 April 2020. <https://portfolio-analytics.capitalmarketsciooutlook.com/cxoinsights/the-future-of-streaming-analytics-in-financial-services-nwid-61.html>.

Perera, Srinath. "A gentle introduction to stream processing." 4 April 2018. Medium. 19 April 2020. <https://medium.com/stream-processing/what-is-stream-processing-1eadfca11b97>.