The global pandemic and the move to remote and hybrid workplaces have highlighted the importance of connections in an increasingly disconnected world. While the traditional office setting has become dispersed, business leaders must still connect everyone and everything within their organization. They must connect not only systems, data, and applications to each other, but also to their […]
The Evolution of Data Virtualization: From Data Integration to Data Management
Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]
How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse
Today, we’re seeing more companies embrace cloud-based technologies to deliver superior customer experiences. An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […]
Data Warehouses Are Failing SaaS Apps: Why HTAP Databases Provide a Better Fit
As remote work continues to boom, enterprises are seeing increasing demand for SaaS products. SaaS apps are data-intensive, generating and accessing massive volumes of data in real time. Because of that, most organizations build SaaS apps on data warehouses instead of HTAP databases. For one, since SaaS apps operate on larger volumes of data, data warehouses […]
Evaluating Data Lakes vs. Data Warehouses
While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences. This article will highlight the differences between each and how […]
10 Key Data Mining Challenges in NLP and Their Solutions
Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]
The Semantic Layer Goes Mainstream
The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits. The fact that industry leaders are discussing the need for a semantic […]
How to Combine Agility and Control with Data Convergence
Every generation of data infrastructure technology has promised more speed and agility, or better standardization, centralization, and control. This “or” proposition has fueled the ongoing battle between business leaders who require timely insights from dynamic data sources to drive better outcomes, versus IT leaders who need solutions that provide high leverage, scale, and governance. Essentially, […]
How to Use Data Analytics to Gain Valuable Insights with Limited Data
Every modern business professional understands the importance of data. Data can separate the forest from the trees, providing business leaders with a new perspective. From valuable insights regarding customer satisfaction to understanding vital improvements that you can make operationally, data analytics can provide a huge return on investment. However, many businesses shy away from Data Science and analytics because they feel […]
In a Data-Driven Economy, Data “Real Estate” Must Be Modernized
Click to learn more about author Mike Potter. The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. But […]