Historically speaking, a simple definition of analytics is “the study of analysis.” A more useful, more modern description would suggest “data analytics” is an important tool for gaining business insights and providing tailored responses to customers. Data analytics, sometimes abbreviated to “analytics,” has become increasingly important for organizations of all sizes. The practice of data […]
Fundamentals of the Data Lakehouse
During the last few years, a new concept in Data Architecture has emerged. It is called the “data lakehouse.” The data lakehouse offers a new paradigm that takes the best characteristics of data warehouses (large amounts of coordinated data) and data lakes (massive amounts of uncoordinated data), and merges them, providing improved controls and tools. […]
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 […]
Machine Learning vs. Deep Learning
The debate on machine learning vs. deep learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in “learning algorithms,” the manner in which machine learning (ML) algorithms learn is very […]
The Future of Analytics: What is All the Hype About?
Expert’s ears immediately perk up upon attending a talk about how to get big insights from analytics. After all, analytics has become the new hot topic of the day. However, asked Nipa Basu, during her keynote presentation The Future of Analytics at the DATAVERSITY Enterprise Analytics Online Conference: “What is the difference between hype and […]
Data Science and AI Use Cases
A business use case is generally defined as a sequence of business actions that lead to a predetermined, value-added outcome. Data Flair shares the Top 6 Data Science Use Cases slated to bring in another industrial revolution. From banking to transportation in the physical business world, and from social media to e-commerce on the digital business […]
Kubernetes Fundamentals: Facilitating Cloud Deployment and Container Simplicity
Kubernetes (sometimes abbreviated to “kube”) is open-sourced, was originally developed by Google, and organizes containers into logical units for transport and use in the cloud. Containers support the construction of self-contained environments capable of transporting data, and the software supporting it. Containers are, ultimately, a way to package software and other application components. It is […]
Artificial Intelligence, Machine Learning, and Deep Learning Explained
The first reference to artificial intelligence was in a paper written by Alan Turing in 1950, entitled Computing Machinery and Intelligence, where he asked the question, “Can machines think?” Turing’s article, as well as a 1977 paper entitled History of Artificial Intelligence by P. McCorduck are recommended reading for those wanting a greater understanding of […]
So You Want to be a Cloud Engineer?
It has been predicted that “cloud engineer” will be among the top ten in-demand IT jobs in 2021. There is currently a great need for cloud engineers, primarily because a significant number of organizations are moving their business processes to the cloud. As more organizations shift to cloud data storage, the demand for cloud engineers […]
Data Architecture: One Size Does Not Fit All
There has never been a time when more options were available to stand up a process-driven and/or platform-driven Data Architecture. In recent years, some companies find themselves with an embarrassment of riches, having every tool known to humankind. Using tools à la carte, with a different tool for each solution, works for some organizations. Other […]