It seems that we’re reaching the point where the Internet of Things (IoT) is moving from the domain of enthusiastic early-adopters to the more challenging, more profitable territory of mainstream enterprise technology. Event-driven architectures are playing a key role in these types of applications
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say
Specific peer networking opportunities in the cognitive space for the developer community take shape at IBM Insight at World of Watson 2016. Check out some anticipated highlights.
Big Data & Analytics Heroes
David BirminghamSenior Solutions Architect, Brightlight Analytics, a Division of Sirius Computer Solutions
David Birmingham, senior solutions architect at Brightlight Analytics and this week's big data and analytics hero, discusses the power of simplification in big data and analytics architectures. At the same time, he expands on the notion that scalability is the ultimate criterion of whether
When customers or other key stakeholders expect to be able to connect with an organization instantaneously, extremely low latency, high throughput data and analytics flows and execution are absolutely essential. The advent of the Internet of Things is among several key drivers of the emergence of
Streaming analytics is becoming ubiquitous as data streams from a range of sources, including the Internet of Things, are now mainstream. Although streaming analytics is not a new technology, it is well suited for today’s real-time, low-latency business and consumer applications. And today’s data
Because the amount of IoT data generated, collected and subjected to deep analysis is already measured in exabytes, with no end in sight, IoT technologies and strategies must be able to deliver actionable intelligence from IoT data. So it should come as no surprise that software-defined clouds,
Big data without context is pretty much useless, especially when that context can fluctuate so widely—which is why the role of Hadoop in creating accurate analytics is crucial for deriving value from big data.
I recently started researching a longer piece I’m writing about big data architectures, and I realized something: big data is growing up. It has moved rapidly from a collection of critical, but over-hyped technologies disrupting core relational database market segments to an emerging eco-system to
IBM’s Technical Consultancy Group led this academic colloquium last week on big data and analytics to collaborate with UK academics on research, teaching and technology. The colloguium was a high impact gathering of top-tier academic and industrial expertise identifies big data architecture and