Machine Learning (ML) is an important aspect of modern business and research. It uses algorithms and neural network models to assist computer systems in progressively improving their performance. Machine Learning algorithms automatically build a mathematical model using sample data – also known as “training data” – to make decisions without being specifically programmed to make […]
Big Data Ecosystem Updates: Hadoop, Containers, and VMs Explained
Twenty years ago, a startup called VMware brought in business by providing a platform to create nonphysical machine virtualizations, such as Linux, Windows, and others. As server processing capacity increased, basic applications couldn’t maximize the use of all the abundant new resources. Enter Virtual Machines (VMs), designed to run software on top of a physical […]
Demystifying Master Data Management
Thomas Edison may have understood the importance of Master Data Management before the term was formally coined. He said, “The value of an idea lies in the using of it.” While ideas in the early 20th century relied on thoughts and things, ideas in this information age depend on data. Take Reference Data: unchanging tags […]
Data Architect vs. Data Engineer
The data architect and data engineer work in tandem – conceptualizing, visualizing, and then building an Enterprise Data Management Framework. The data architect visualizes the complete framework and creates the blueprint, which the data engineer uses to build the “digital framework.” The data engineering role has recently evolved from the traditional software-engineering field. Recent Enterprise […]
Next Generation Data Storage at Petabyte Scales
“Seven years ago, the petabyte was pretty much the exclusive realm of very, very, very, large enterprises, like Citibank or Boeing,” said Shridar Subramanian, VP Product and Marketing at StorageCraft, but petabyte-sized data sets are now becoming more common with smaller companies. Over time, more companies in the mid-sized enterprise space, and more importantly, companies […]
Jump Start Data Management Initiatives Through Improved Business Cases
Inch by inch, step by step, block by block – that’s how you build a business case for Data Management. What those inches, steps, and blocks will look like depends in large part on the organizational maturity of the business with regard to Data Management. In more mature businesses, it’s easier to make the case […]
The Importance of Data Literacy
Walk into a company embracing digital transformation and you’ll find monitors displaying colorful charts and pie graphs decorated with numbers. These dashboards show information about the business meant to assist employees in prioritizing work, seeing new opportunities, and driving efficiency. An important question remains, though: “How many employees trained on a business’ dashboards know how […]
So You Want to be a Data Curator?
Data Curation is highly focused on maintaining and managing metadata, and not the database itself. Consequently, much of Data Curation involves such things as good communications and the usage popularity of services or articles. Data Curators not only create, manage, and maintain data, but may also be involved in determining best practices for working with […]
Case Study: Bringing Credibility to Freddie Mac’s Data Stewardship Model
Jenny Schultz has been with Freddie Mac since 1998. “We have tried to do the ‘data thing’ more than a few times, driven by IT, but it never stuck because the business didn’t see the value in leveraging their data and managing and governing it,” she said during her Enterprise Data World Conference presentation titled […]
The State of Data Education: Bringing IT and the Business Together
There’s something missing in the way that many higher education institutions educate students about the intersection between technology and business. The problem: they often don’t. There just isn’t enough focus on getting those people who are studying the science – and art – of working with data to also work in tandem with business peers […]