dcsimg

5 Trends Impacting the Future of Machine Data Intelligence

  • 5 Trends Impacting the Future of Machine Data Intelligence-

    The Rise of 'Extreme Architectures'

    Historically, advancements in the capacity and processing power of microprocessors have served as a common metric for software advancement (e.g., Moore's Law, in which microprocessor power doubles every two years). However, with today's cloud infrastructure, the ability to "string together" thousands of microprocessors via virtualized servers obviates Moore's Law. The most innovative CTOs will push for new, "extreme" software-based architectures to harness the processing power inherent in public or private cloud infrastructures to lessen traditional in-house data center constraints.

1 | 2 | 3 | 4 | 5 | 6 | 7

5 Trends Impacting the Future of Machine Data Intelligence

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • 5 Trends Impacting the Future of Machine Data Intelligence-3

    The Rise of 'Extreme Architectures'

    Historically, advancements in the capacity and processing power of microprocessors have served as a common metric for software advancement (e.g., Moore's Law, in which microprocessor power doubles every two years). However, with today's cloud infrastructure, the ability to "string together" thousands of microprocessors via virtualized servers obviates Moore's Law. The most innovative CTOs will push for new, "extreme" software-based architectures to harness the processing power inherent in public or private cloud infrastructures to lessen traditional in-house data center constraints.

According to the latest forecast from Gartner, Inc., global revenue in the business intelligence (BI) and analytics market will reach $16.9 billion in 2016, an increase of 5.2 percent from 2015. Machine analytics will be the fastest growing area of BI, which will have CAGR greater than 1000 percent. As digital transformation grows, so does the reliance on new software and architectures. Today, software is not only driving business processes, but entire business models, and the need to manage, monitor and troubleshoot applications in real time has never been more critical. Thus, the need for speed, full-stack visibility and agility — all in real time — is the true business demand underpinning the growth of machine data analytics.

In this slideshow, Ramin Sayar, president and CEO of Sumo Logic, offers the five trends he sees most impacting and shaping the world of machine data analytics.