The modern data stack is a collection of tools used to collect, store, and analyze data. Understanding the components of a modern data stack is crucial in grasping how contemporary data ecosystems function. At its core, data engineering plays a pivotal role by focusing on the practical application of data collection, storage, and retrieval. This discipline ensures […]
Empowering Power BI with the Semantic Layer
Today’s organizations widely acknowledge the significance of leveraging data and analytics. Virtually every executive envisions establishing a data-driven organization. However, a survey conducted by New Vantage Partners reveals that only a mere 26.5% of companies have effectively achieved this transformative goal. Part of the problem lies in the ineffective collaboration between business and technology teams. In the […]
The Open Data Stack Distilled into Four Core Tools
In this article, we are going to explore core open-source tools that are needed for any company to become data-driven. We’ll cover integration, transformation, orchestration, analytics, and machine learning tools as a starter guide to the latest open data stack. Let’s start with the modern data stack. Have you heard of it or where the […]
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, […]
Three Ways Data Analytics Will Progress in 2022 and Beyond
Most industries have seen tremendous change due to the pandemic over the past two years, which has brought new and ever-evolving data that businesses need to make sense of. With that, data analytics tools have become more imperative than ever, as they can help organizations analyze changing business patterns as well as offer insightful visibility […]
The Evolution of Metadata Platforms vs. Data Platforms
Watching closely the evolution of metadata platforms (later rechristened as Data Governance platforms due to their focus), as somebody who has implemented and built Data Governance solutions on top of these platforms, I see a significant evolution in their architecture as well as the use cases they support. This evolution seems to closely mirror the […]
Transforming Analytics with a Modern Data Stack
There’s been a lot of talk about the modern data stack recently. Much of this focus is placed on the innovations around the movement, transformation, and governance of data as it relates to the shift from on-premise to cloud data warehouse-centric architectures. When it comes to the analytics layer – which sits on top of the modern […]