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DataTorrent 2016 Predictions: Business value drives wide spread real-time analytics enterprise adoption

Virtualization and Cloud executives share their predictions for 2016.  Read them in this 8th Annual series exclusive.

Contributed by Phu Hoang, CEO and co-founder, DataTorrent

Business value drives wide spread real-time analytics enterprise adoption

While access to big data has become more universal in 2015, the way in which enterprises evaluate data continues to vary across the board and will continue to evolve in 2016. A recent Gartner Research survey stated that three quarters of the enterprise have invested or plan to invest in big data within the next two years. That said, executives must get ahead of the curve and start thinking beyond investment and into how to make the most of their big data initiatives in the coming year.

More and more data analytics startups are coming into the market to provide solutions that drive actionable insights from data. Real-time streaming tools are going to be key to making these new solutions a reality and to creating Hadoop success stories in 2016. In the next year, we expect to see:

Greater enterprise adoption of streaming analytics with more quantified results

  • In 2016, there will be even more companies that invest in the real-time streaming in order to gain actionable insights as the data happens and is most valuable. While many companies have already accepted the fact that real-time streaming is valuable, we'll see users looking to take it a step further and quantify their streaming use cases. In the next year, customers using data streaming tools will reach a new level of sophistication and demand the ability to quantify ROI for streaming analytics.

Ingestion into Hadoop

  • Moving data into Hadoop is a challenge, one that has been mostly ignored. In 2016, we will see a greater focus on successfully ingesting data from various sources, leading to faster adoption of Hadoop. As focus shifts from early experimentation toward critical use cases, stream processing technologies designed for enterprise deployment, high performance, low latency, scalability and fault tolerance, will gain adoption.

FinTech, AdTech and Telco lead the way in streaming analytics

  • The early adopters of streaming analytics in 2015 have become the norm, and by 2016 you'll begin to see more vertical applications using streaming analytics. This will provide even greater validation for the technology and its capabilities. As streaming matures, we will see companies beyond the traditional early adopter industries embrace the technology.


About the Author

Phu Hoang, CEO and co-founder, DataTorrent

Phu was a founding member of the engineering team at Yahoo! Inc. Throughout his 12 years there, he led many of the engineering teams that built critical parts of the Yahoo! network and portfolio, including search, advertising, commerce, news, finance and sports. He served as their executive vice-president of engineering. He also served as executive chairman of Buysight, Inc., an Ad exchange technology startup, which was acquired in 2012 by AOL. Prior to that, Phu was Vice-President of Engineering & Product at Kiva, a non-profit micro-lending exchange.

Published Thursday, November 19, 2015 6:37 AM by David Marshall
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