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2015 Trends in Cloud Computing: The Mobile Paradigm

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by Jelani Harper Those still unconvinced of the utility of Cloud Computing and its vitality to Data Management should know three key facts: IDC projected spending on public and private clouds to exceed $100 billion in 2015. The Cloud has long operated as the point of integration (an enabler) between the most salient Data Management…

The Immediate Future of Data Management

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by Jelani Harper Trends in the Data Management space tend to emerge rapidly and mature slowly. Those that will most impact the way that Data Management is conducted throughout the coming months are explored below. These capabilities for managing data effectively represent the maturation of a number of different technologies, platforms, and capabilities that will…

2015 Trends in Data Modeling: The Machine Learning Effect

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by Jelani Harper Data Modeling has become easier – in certain instances. It has arisen from the nearly exclusive reach of Data Scientists and IT departments to take up residence where it is needed most—within the comforting confines of the business. There are still a number of caveats involved with this trend, as end users…

The Semantic Web: Moving Forward in 2015

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by Jennifer Zaino We’re all waiting to see what’s next for the Web of Data – that is, the Semantic Web – after a year that had numerous highlights including: the official publication of HTML5, which boasts the ability to describe the structure of a web document with standard semantics; a flurry of activity for…

2015 Trends in Data Governance: “Cultural Execution”

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by Jelani Harper The most eminent trend pertaining to Data Governance in 2015 does not involve new tools, roles, policies, or strategy—although these facets of Data Governance are vital to implementing effective governance. However, to maintain governance and ensure the aforementioned factors result in organized, quality data in a manner that is both traceable and…

2015 Trends in Big Data: Real Time

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by Jelani Harper The Big Data marketplace capped another successful year in 2014, with vendors procuring billions of dollars in funding. Headlines surrounding the Internet of Things, the trend towards mobility and Cognitive Computing have solidified the future of Big Data technologies and their centrality to the Data Management landscape. The coming year will herald…

Thoroughly Understanding the Data Resource

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by Michael Brackett Thoroughly understanding an organization’s data resource requires a formal sequence of events and techniques that must be followed.[1] That formal sequence is represented by the Data Resource Development Cycle shown in the diagram below. The development of an organization’s data resource begins with how the organization perceives the business world according to…

2015 Trends in Business Intelligence: Self Service

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by Jelani Harper The transformation of Business Intelligence (BI) from an IT-centric, centralized process to a self-service, decentralized process is clear: According to Gartner, “By 2017, most business users and analysts in organizations will have access to self-service tools to prepare data for analysis” (Parenteau et al, 2014). Forrester’s top prediction for BI is, “Managed…

2015 Trends in NoSQL: Aspects of Integration

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by Jelani Harper Adoption rates for NoSQL database technology and its deployment are relatively modest at present; Forrester recently indicated this technology occupies 20 percent of the overall market share. However, there are a number of trends in Data Management that will further spur those adoption rates in 2015, including: A blurring of the distinction…

Top 20 Data Management Posts in 2014

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by Shannon Kempe It has become an annual tradition here at DATAVERSITY® to publish our top twenty most popular data management content for the year. What have people been reading? What’s hot and trending into the New Year? Our top twenty includes Data Blogs, Articles, News, and other formats published throughout the year. A Couple…