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Integrating Big Data the Right Way

Big Data

by Jelani Harper The true value in incorporating a Big Data initiative into an overall Enterprise Data Management scheme comes from integrating, and in some cases aggregating, external Big Data with more conventional sources of data. Doing so correctly involves accounting for issues of Data Governance, Metadata Management, traceability, and Semantic consistency that frequently require…

Big Data Management Courses at Universities: Data Science and Analytics

Data-University

by Jelani Harper Traditional university level tracks to careers in Data Management have pertained to Computer Science, Information Management, and Computer Engineering. However, the growing prominence of Big Data in operations and analytics has resulted in an increasing number of collegiate programs expressly designed to account for Big Data. The majority of these programs pertain…

The Reality of Natural Language Processing

Natural Language Processing

by Jelani Harper Natural Language Processing (NLP) may seem the least notable of Semantic technologies and their applications, particularly when considering the hype surrounding graph databases, Cognitive Computing, and the Internet of Things. Nonetheless, Markets and Markets reports that the NLP market is projected to grow to $13.4 billion–with a CAGR of 18.4 percent—in the next…

Cloud Complications for Metadata

power of cloud computing

by Jelani Harper The increasing prevalence of Big Data and Software Oriented Architecture has certainly made the Cloud appear to be one of the most viable mediums for accessing and managing data. Nonetheless, there are several ramifications of Cloud deployments that considerably exacerbate Metadata Management and significantly worsen aspects of overall service including: Cost Performance…

Distinguishing Data Management from Data Governance

data-management-v-data-governance

by Jelani Harper The numerous points of overlap between Data Management and Data Governance frequently obfuscate the usage of these terms and the realms of refining data that they encompass. Adding to the confusion is the fact that for every reference to Data Management and Data Governance, there is seemingly another for Information Management and…

Spur HealthCare Advances by Speeding Up and Enhancing Biological Big Data Analysis

Biological-Big-Data

by Jennifer Zaino Biological data is easy and even cheap to generate, but analyzing such Big Data it to advance the study of gene functions and genes’ potential impact on diseases can be very challenging and time-consuming. That’s particularly true for genomics and transcriptomics data that is generated by next-generation, high-throughput DNA sequencing equipment. “Analyzing…

A New Data-Driven Vision at the U.S. Federal Reserve Board

micheline casey

by Jennifer Zaino Take a look at the Federal Reserve Board’s semi-annual Monetary Policy Report to Congress issued in July and you’ll see a lot of data about the U.S. economy. In her testimony about the report, Board Chair Janet Yellen cited statistics ranging from an unemployment rate of 5.3 percent to inflation that continues…

Machine Learning Plays Role in Reinvention of Database Science

Machine-Learning-Database-Science

by Jennifer Zaino Machine learning has been put to many uses that involve analyzing Big Data to solve issues or address opportunities. It’s been applied to delivering personalized video or article recommendations, handling fraud detection, clustering news, and predicting customer churn, for example. Now it – along with other computer science breakthroughs – is playing…

Expanding Master Data Management with Big Data

Master-Data-Management

by Jelani Harper Initially, Master Data Management (MDM) systems and the content they contain may seem counterintuitive or even diametrically opposed to Big Data systems. Some of the considerable differences between Master Data and Big Data include: Volume: Comparatively, Master Data sets are much smaller than those for Big Data. One of the pivotal attractions…

Avoiding Data Swamps with Big Data Governance

Big-Data-Governance

by Jelani Harper Michele Goetz at Forrester recently wrote that “…Big Data is creating data swamps even in the best intentioned efforts…Analysts will still spend up to 80% of their time just trying to create the data set to draw insights.” Implicit in this statement is the reality that whether organizations are attempting to leverage…