With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite. Today’s machine learning platforms are undergoing rapid, fundamental innovations at an architectural level. Meanwhile, organizations are […]
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, […]
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 […]
Data Lakes for Non-Techies
Click to learn more about author Joan Fabregat-Serra. IT has weaponized jargon since the very beginning of IT itself. Jargon was a key element to create vendor lock-in situations during the ’90s and early 2000s. Moreover, complex usability helped in developing a network of certified (aka expensive and lucrative) consultancy workforce. IT has recently experienced […]
The Data Warehouse, the Data Lake, and the Future of Analytics
Data lakes were created in response to the need for Big Data analytics that has been largely unmet by data warehousing. The pendulum swing toward data lake technology provides some remarkable new capabilities, but can be problematic if the swing goes too far in the other direction. Far from being at the end of this […]
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 […]
Big Data at 10: Did Bigger Mean Better?
Click to learn more about author Mathias Golombek. If this time 10 years ago you were working in data and analytics, something was about to happen that would go on to dominate a large part of your professional life. I’m talking about the emergence of “big data.” I recently read that the origins of the concept […]
Data Fabric: Convergent Solutions to Avoid Complex Tools Patchwork
Click to learn more about author Michele Iurillo. According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation. How are we going to convince […]
Could the Data Mesh Solve Your Data Lake Scaling Issues?
Click to learn more about author Mathias Golombek. Is data mesh architecture the right approach for your organization and its data democratization journey? In my recent blog series, I delved into one of 2021’s hottest data topics – data democratization – exploring how it can fit into a business’ overarching data strategy along with some practical advice on how to implement […]