When looking for course-changing insight, connecting the dots of information can range from meticulous exercises to bursts of inspiration. However this wow-factor insight may be derived, it can take organizations and industries on a new trajectory characterizing the dawn of an era in which
Today, more than ever, businesses need to put the ability to analyze data into the hands of business analysts, data scientists, stakeholders and decision makers. Take an evolutionary look at how Apache Spark and big data discovery are just beginning to open up a diverse and powerful set of
How can you make the most of Hadoop in your enterprise? Create a pattern of success in your organization by incorporating Hadoop in your broader data architecture as a way of providing meaningful insights to your company.
Openness was a common refrain at Insight 2015, and the opportunities of open systems, technologies and the IBM analytics platform are abundant. Check out some observations from the conference and a few shining examples from its demo center.
Three capabilities can take a streaming analytics solution to the next level: time to value, application intelligence and insight confidence. All of these must be taken into account when turning an adequate analytics system into a great one.
Find out how Day 3 of the conference offered insight into how data scientists have benefited from the latest approaches to web-scale analytics, including open sourcing of the System ML machine learning library to help the Spark community.
From the time we were little, sharing has been an important concept. And even though sharing can be a double-edged sword in the business world, open source initiatives serve to prove its value. When considering open and unified analytics platforms, make sure they embrace three elements: inclusion,
As one principle of the buffalo theory demonstrates, open source projects are applying a process of natural selection through the manner in which they tackle performance bottlenecks and other obstacles that can prevent further technological advancement. By continually identifying and addressing the
At the Spark Technology Center, headquartered in San Francisco, you can build algorithms that drive deep intelligence into every application and share experiences to achieve success, fast. And more than a physical location, the center is a community that works together to showcase the true
Time series data can contain highly valuable insights—if organizations can detect and classify the events within it. An approach that combines stream processing and machine learning holds the key to analyzing large, fast data streams.
Apache Hadoop has been around for a decade, but what is it exactly? Get a quick primer on Hadoop’s four key modules and how they enable this open source framework to handle storage for massive volumes of big data that can used for advanced analytics.