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Implications for Big Data Governance

big data governance x 300

by Jelani Harper In theory, the governance of Big Data is not much different from that of conventional data. There are greater quantities of the former that are ingested more rapidly, which require the dedication of more effort and resources for effective governance. But the principle goals of governance remain unchanged: to give a formal…

A Semantics Approach to Information Management

by Jelani Harper Semantics technologies have emerged as one of the most influential means of Data Management. A March report from Gartner identified semantics technologies as one of the top trends impacting information infrastructure in 2013. There is a utilitarian aspect of Semantics technologies that can bring value to virtually any organization, regardless of its…

Big Data as a Service: Is the World Ready?

by Ezekiel James It’s not a huge revelation that the world of Cloud computing is rapidly evolving and taking on a wide range of shapes these days.  The as-a-service nomenclature is expanding beyond Cloud-based platforms, infrastructures, and software solutions. It now includes a variety of Web and Data Management technologies that are almost becoming too…

Data as a Service 101: The Basics and Why They Matter

by Ezekiel James Cloud-based technology is becoming increasingly complex, and so the as-a-service (aaS) space has, is, and will become increasingly crowded. In fact, it’s getting harder and harder for data professionals to keep track of each Cloud computing model, and how they all differentiate from one another.  The reality is that this isn’t as…

The Necessity of Hybrid Business Intelligence

by Jelani Harper Hybrid Business Intelligence (BI) often involves coordinating the advantages of a centralized approach with that of a decentralized or distributed one. Although each of these methods has distinct benefits, a synthesis mitigates their respective drawbacks and forms a gestalt of their benefits. Many organizations have realized there are a number of specific…

Enterprise Threats: Big Data and Cyber Security

by Jelani Harper Many people are aware of the fact that Big Data has the potential to significantly enhance business and operational processes. Yet, its scalability also has substantial boons for cyber security, the consequences of which can either make or break the enterprise. Due to the massive quantities and variation of data sources that…

How NoSQL is Shaping Data Management

by Ezekiel James The buzz around NoSQL databases has been going on for some years now and how they’ll shape how we interact with data in the years to come is a primary discussion in many organizations. In fact, a recent Gartner report positions NoSQL as one of the top technologies that will inform how…

Data Architecture and Data Structures

by Michael Brackett Data management today is very lexically challenged.  One part of that lexical challenge is a confusion between the terms data architecture and data structure.  The terms are often undefined when used and are often used interchangeably.  The result is confusion about the design, development, and management of an organization’s data resource.  That…

Pervasive Business Intelligence: From Business to Consumer Intelligence

by Jelani Harper There were numerous Business Intelligence (BI) sessions at Enterprise Data World 2013, and Stephen Brobst’s “Four Trends in Business Intelligence that Cannot be Ignored” may have been the best attended. Situated in the largest conference room, excluding the pavilion reserved for keynotes and lunch, Teradata’s Chief Technology Officer spoke at length about…

The Agile Business Intelligence Movement

by Jelani Harper Several key drivers within the data and software establishments are pushing the Data Management industry towards Agile Business Intelligence (BI). Increasing amounts of data and its importance in business practices requires expedient data integration flexible enough to keep pace with rapid changes in competitor strategies, customer habits, regulations, as well as national…