Meeting today’s dynamic data requirements goes beyond technology that focuses on operational capture, decision-support-oriented consumption, and data governance. Enterprise architects need to take into account a wider array of data sources and establish a performance measurement plan that tracks
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization.
During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information
The “Internet of Things” (IoT) describes the phenomenon of “ubiquitous connectivity” with physical objects, made possible by the widespread use of sensory devices and wireless technologies throughout our environments. Without a doubt, IoT holds enormous promise as a key enabler for the next wave of
According to Forrester Research in their recent Hadoop Solutions Wave, “Hadoop is a solution to the problem of big data.” I have a slightly different take on this statement: "Hadoop is a solution to the opportunity of big data." Hadoop is effective for managing vast, diverse and varied data, and,
The future of big data?
Hybrid data architectures have been hailed as “the future of big data.” But what exactly is a hybrid data architecture and how would your organization best make use of one? What makes it better than current systems? What are some of the challenges involved in deploying a
Data management has undergone significant change ever since the introduction of online transaction processing systems (OLTP) some 50 years ago. The level of change during this period, however, has not been uniform. There have been times when data management technologies and products became
This is a research report by noted industry analysts Claudia Imhoff, Intelligent Solutions, Inc., and Colin White, BI Research. IT leaders need to review and enhance their information architecture to support requirements fueled by big data, advanced BI and other innovations. Examine the What, the
Colin White and I recently wrote a white paper for IBM titled Technology Innovations for Enhanced Database Management and Advanced BI. In it we discussed the fact that IT leaders across all industries need to review and enhance their information architecture to support new requirements, such as big
Noted business intelligence and data management industry analysts, Claudia Imhoff of Intelligent Solutions, founder of the Boulder BI Brain Trust, and Colin White of BI Research present Technology Innovations for Enhanced Database Management and Advanced Analytics, an on demand webinar sponsored by
People often treat philosophy as an intellectual pastime for the unemployable. That’s absolutely not the case.
Philosophy is the most practical of disciplines. Essentially, it is an examination into basic principles, cultivating minds that can critically examine problems down to their very marrow.
Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity. Appliances are workload-optimized systems, but they still require human administrators to oversee a wide range of workload management and other optimization, troubleshooting and
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture. Many appliances will be optimized to support various mixes of big-data workloads, while others will be entirely specialized to a particular function that they perform with lightning speed and elastic
Big data is evolving into a cloud ecosystem. For example, it’s clear that Hadoop has already proven its core role in the big data ecosystem: as a petabyte-scalable staging, transformation, pre-processing and refinery cloud for unstructured content and embedded execution of advanced analytics.
Big data is, fundamentally, a cloud-computing approach to advanced analytics and data management. The images that come to mind when somebody says “cloud computing” are a) increasingly sprawling server farms and b) increasingly huge server racks arranged in endless rows within these farms. These “
In this “Talking Big Data” podcast, Tom Deutsch, program director of IBM's Big Data Portfolio, spoke with IBM's social media lead for big data, David Pittman, on the question: “Who is best to own the data?”
Although Deutsch states there is not one right answer to this question, he believes that one