Jason Dye, Director of Enterprise Data Governance at Ally, says that sometimes Data Governance feels like a thankless job. “I’m struggling up this sandy godforsaken hill and then some guy’s standing on the sidelines going, ‘I don’t know what’s so hard about Data Governance. It’s easy.’” But that may be because Dye makes it look […]
Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data
Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I suppose it is tempting, if the only tool you have is a hammer, to treat […]
A Brief History of Neural Networks
In the last few decades, neural networks have evolved from an academic curiosity into a vast “deep learning” industry. Deep learning uses neural networks, a data structure design loosely inspired by the layout of biological neurons. These neural networks are constructed in layers, and the inputs from one layer are connected to the outputs of […]
Data Fabric vs. Data Mesh
In the hyper-connected world of the cloud and the Internet of Things (IoT), every computing network device is connected to another through a complex, interconnected network. This poses a serious challenge to future Data Management, as the ultimate goal of Data Management is the sharing of business data across disparate platforms and technologies. This article […]
A Brief History of Database Management
A database management system (DBMS) allows a person to organize, store, and retrieve data from a computer. It is a way of communicating with a computer’s “stored memory.” In the very early years of computers, “punch cards” were used for input, output, and data storage. Punch cards offered a fast way to enter data and […]
Is Streaming Analytics the Future of Business Analytics?
Analyzing data as it is created or changes? Is that possible? Now it is, with streaming analytics, which monitors and responds to continuously flowing data from connected devices and live data channels like the sensors, machine logs, relational databases, social media feeds, location data sources, and so on. The core differentiator of streaming analytics is […]
A Brief History of Data Science
The term “Data Science” was created in the early 1960s to describe a new profession that would support the understanding and interpretation of the large amounts of data which was being amassed at the time. (At the time, there was no way of predicting the truly massive amounts of data over the next fifty years.) […]
Data Management vs. Data Strategy
In a DATAVERSITY® interview, Donna Burbank, the Managing Director at Global Data Strategy, said, “The difference between Data Management vs. Data Strategy is almost in the definition of the two words. Think about your money. If you’re just managing it, you’re sort of just getting by, but if you’re thinking strategically, you’re really thinking of […]
Graph Database vs. Document Database: Different Levels of Abstraction
“Remember that every science is based upon an abstraction. An abstraction is taking a point of view or looking at things under a certain aspect or from a particular angle. All sciences are differentiated by their abstraction.” (Fulton Sheen) Graph and document databases (aka document stores), also demonstrate this principle. A few years, graph databases […]
So You Want to be a Big Data Analyst?
With the increasing use of big data by organizations in every field, the need for big data analysts will continue to grow. Big data analysts examine vast amounts of varied data. They uncover hidden patterns, customer preferences, and market trends. One of the primary differences between a big data analyst and a data scientist is […]