When it comes to talking about big data technology, there's a big bowl of alphabet soup to digest: noSQL, EDW, HBASE, ETL, BI, ERP, JAQL and many others. Don't "Pig" out on the soup to the point where you break out in "Hives"—join us as we discuss the technology issues and help you understand what'
I participated in a really rich Twitter chat yesterday on the topic of "Evolving integration and governance for big data" with thought leaders Jim Harris (@ocdqblog), James Kobielus (@jameskobielus), Tim Crawford (@tcrawford) and Richard Lee (@InfoMgmtExec).
Sensitivity and error
The first topic
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
#bigdatamgmt chat – Wednesday, February 19 – 12 p.m. EST & 5 p.m. GMT
As the world becomes more interconnected and more data are gathered, the opportunity for gaffes in handling and using that data increases dramatically. Rarely does a month go by without hearing of some misuse of data. These
Travel in time from early artificial intelligence, to Watson, to Watson Foundations, as cognitive systems evolve from powerful concept to valuable reality built on a foundation that enables fresh insights from trusted data.
With a series of recent data breaches as the backdrop, IBM engaged big data and privacy experts as guests in a Twitter chat on Wednesday, January 22, entitled “Big Data, Little Privacy?” The chat, intended to be a spirited discussion regarding data privacy in the era of big data, did not disappoint
The promise of big data and analytics is revolutionary and exciting. But, to truly make big data a big deal requires confidence in your data. Learn how two teams tried to use analytics to fund a an enterprise project with dramatically different results. Discover how one went wrong and how the other
Big data means more data – from more sources, in more formats. It also involves data that is created at a more rapid pace. All of those factors make it harder to establish context. Where did this data come from? How much do you trust it? What steps were taken to correct, or massage, the data?
Whether you need to deliver trusted information to a data warehouse, get a 360 degree view of your customers, or put big data to work for your organization through any other project, IBM InfoSphere Information Integration and Governance capabilities provide a foundation of trust and protection for
This research report from Forrester Consulting, commissioned by IBM, examines the growing role of information and integration governance (IIG) to move big data from the realm of possibility to the reality of business outcomes. Forrester Consulting surveyed 512 business sponsors, business