For any target big data platform, you must have an application development framework that supports a system development lifecycle and provides a means for loading and executing the developed application. This article discusses the principles involved and how programmers use the MapReduce and ECL frameworks to analyze big datasets. Read More…
Many enterprises are still struggling with how to get value out of their own data. But some companies, like online real estate marketplace Zillow, have made products entirely out of data from outside their organization. In Zillow’s case, the entire Read More…
Data projects have traditionally started in IT or by line-of-business managers looking to get ahead. But now that data is more often viewed as a valuable asset, C-suite executives are proposing and sponsoring big data projects more regularly, according to Read More…
A dozen potentially disruptive technologies could deliver as much as $33 trillion in economic value around the globe by 2025, according to a new report from the McKinsey Global Institute. Big data technologies underpin several of the trends. Read More…
For many people, “big data” may simply mean running analytics on a Hadoop cluster. But there’s a broad range of technologies and techniques that are enabling a new class of analytics applications. To take them on, companies need to reconsider Read More…
Lora Cecere, founder of Supply Chain Insights, is conducting research into how the issue of IT-business alignment relates to success in implementing big data projects. Read More…
The promise of data-driven marketing has two parts: different data sources and analytics will bring a better understanding of your target audience, and marketers will know how to get the right message about a product in front of the right Read More…
While technology innovations continue to bring about ways to automate the collection and analysis of machine data, speakers at the GigaOm conference like Sean Gourley said leaders need to step up to define the industry’s influence on the world. Read More…
This is supposed to be the year of Hadoop and big data adoption, where companies get off the fence and buy into systems that will help them make data-driven decisions in their everyday business processes. And the Strata Hadoop World Read More…
With emerging big data use cases, datasets created for one purpose can be used for an entirely different purpose—a dynamic that challenges traditional approaches to data governance. This article, part of a series on implementing big data analytics, explores ways to manage this conflict and build new governance policies. Read More…
