Data-driven decision-making is a popular and worthwhile goal, but few infrastructures are truly up to the task of supporting real-time data. The business needs driving analytics that are evolving quickly, and even recent investments in complex systems can still fall short of the moving target. The scarcity of highly skilled data scientists can create logjams, batch tools cannot provide the real-time data business experts demand, new data sources are frequently siloed away from other enterprise applications, and the growth in volume of potential data inputs is outpacing the drop in storage prices that has supported it.
Building for the real-time future means embracing a flexible and robust architecture that can handle new data types and consumption models, with the scale they will require.
In this webinar, our panel will discuss these topics:
- How are scale, complexity and a changing user base affecting the requirements for modern, scalable, real-time analytics?
- What are the strengths and limitations of real-time and batch analytics?
- What architectural concepts are critical as the enterprise embraces real-time analytics?
- How should application developers approach real-time analytics?
- Andrew Brust, research director, Gigaom Research
- David Loshin, principal consultant and corporate analyst and adviser, Knowledge Integrity
- William McKnight, founder and president, McKnight Consulting Group
- Alok Pareek, co-founder, EVP, WebAction
Register here to join Gigaom Research and our sponsor WebAction for “Making Decisions While They Matter: The Importance of Real-time Big Data,” a free analyst roundtable webinar on Thursday, May 29, 2014, at 10:00 a.m. PT.