Data Articles | Data Science, Business Intelligence, & More

Master Data Management Strategies for Big Data

big data mdm x300

by Jelani Harper In addition to improving the Return On Investment (ROI) of Big Data initiatives, there are several reasons why it greatly behooves organizations to enhance their Master Data Management (MDM) with Big Data: More Effective Analytics: Linking an MDM system to Big Data can provide the basic framework for performing analytics, as the…

Smarter Than the Other Guy: Big Data Application Management

big data app mgmt

by Jelani Harper The Big Data hype will dissipate as quickly as it arrived, unless organizations find a way to produce business value from these new technologies. Doing so requires more than sandboxes for Data Scientists, real-time analytics, or Cloud-based storage and scalability. It requires the development and production of business-driven applications that readily convert…

Cloud Business Intelligence / Analytics

Cloud Analytics

by Jelani Harper Although current adoption rates are low, there is increasing evidence that Cloud Business Intelligence and analytics (alternately referred to as Business Analytics or BA) may soon be the wave of the future. According to Gartner: “Cloud –based BA solutions…are gaining market share at a faster rate than on-premises counterparts…they show more than…

Get To Know Your Big Content

Audio Video

by Jennifer Zaino There’s Big Data, and then there’s Big Content – aka, the unstructured side of Big Data. The world of Big Content includes fast growing material such as audio, video, and social media postings. This includes approximately 1.15 billion active Facebook users, 359 million Google Plus users, and 215 million Twitter users, among…

Relationships and Computational Spaces

Relationships

by Michael Brackett Identifying, understanding, and managing relationships is crucial to the proper design and development of an organization’s data resource.  However, most data management professionals don’t consider the importance of the wide range of relationships in an organization’s business and very few consider relationships with respect to the mathematical or computational spaces.  The result…

Accounting for Dark Data: What You Don’t Know Can Help

dark data

by Jelani Harper A large part of the present preoccupation with enterprise data pertains to its monetization, a fact perhaps most dramatically evidenced in a market valuation of Facebook at close to $100 billion. In assessing the value of enterprise data (which alludes to that of the enterprise itself in some industries), it is necessary…

Data Modeling In The Age Of NoSQL And Big Data

Data Modeling Big Data

by Jennifer Zaino Hadoop Hbase. MongoDB. Cassandra. Couchbase. Neo4J. Riak. Those are just a few of the sprawling community of NoSQL databases, a category that originally sprang up in response to the internal needs of companies such as Google, Amazon, Facebook, LinkedIn, Yahoo and more – needs for better scalability, lower latency, greater flexibility, and…

Neo4j 2.0: The Ascendency of Graph Databases

Graph DB

by Jelani Harper There’s a reason that Neo Technologies, purveyor of graph-database Neo4j, has added some of the most well-known and established companies (Hewlett-Packard, eBay, Cisco) to its list of licensed, paying customers since 2011. It’s closely linked to the expanding community of Neo4j users, which recently closed out 2013 with 50,000 “new instance” activations…

NuoDB CEO Barry Morris on Present and Future Trends in Data

Interview Microphone

by Clark Humphrey Database managers still need products that are “fully SQL compliant,” despite recent industry hype about NoSQL systems. Data Management continues to become an ever-larger, ever-vaster realm, with increased costs to meet increased, nonstop, global business needs. More than ever, a business’s data has to be fully available anytime, anywhere. These are among…

Setting Course for a Data – And Big Data – Driven World

Big Data Course

by Jennifer Zaino It’s little wonder that we’re moving from an application-oriented world to a data-driven one. Consider the amount of data we’re dealing with: Analysis by research firm IDC shows that data is expected to grow by a factor of 300 from 2005 to 2020, from 130 exabytes to 40,000 exabytes – aka 40…